SlideShare a Scribd company logo
Hello!
Nimitha N
Assistant Professor/ECE
nimithaece@rmkcet.ac.in
1
Pierre-Simon Laplace
One of the first scientists to suggest
the existence of black holes
Laplace
Transform
“
”
Process
3
Time
domain
x(t)
Freq
domain
X(s)
Freq
domain
X(s)
Time
domain
x(t)
Differential
Equation
Algebraic
Equation
LT
ILT
Deals with Aperiodic Signals
Input signal changing often at t=0
Stability analysis
Region of Convergence
Time Domain to complex
frequency domain(S-Domain)
4
Laplace Transform
Formula for Laplace Transform
5
▰ It is used to transform a time domain to complex frequency domain signal (s-domain)
▰ Two Sided Laplace transform (or) Bilateral Laplace transform
Let 𝑥(𝑡) be a continuous time signal defined for all values of 𝑡.
Let 𝑋(𝑆) be Laplace transform of 𝑥(𝑡).
▰ One sided Laplace transform (or) Unilateral Laplace transform
Let 𝑥(𝑡) be a continuous time signal defined for 𝑡≥0 (ie If 𝑥(𝑡) is causal)
then,
▰ Inverse Laplace transform (S-domain signal 𝑋(𝑆) Time domain signal x(t) )
▰ Transform: x(t)  X(s), where t is integrated and s is variable
▰ Conversely X(s)  x(t), t is variable and s is integrated
▰ The Laplace transform helps to scan exponential signal and sinusoidal signal
6
Complex variable, S= α + jω
Formula for Laplace Transform
Laplace transform for elementary signals
1)
Solution
2)
Solution
7
Impulse signal
L[δ(t)]
Step signal
L[u(t)]
Laplace transform for elementary signals
3)
Solution
4)
Solution
8
Constant
Exponential signal
Laplace transform for elementary signals
5)
6)
Solution
W.k.t
9
Exponential signal
Laplace transform for elementary signals
7)
8)
9)
10
Hint
x(t) = cos ω0 t u(t)
x(t) = sin ω0 t u(t)
Laplace transform for elementary signals
8)
Solution
Using Euler’s Formula
11
----> (1)
(𝒔 + 𝒊𝒂)
(𝒔 + 𝒊𝒂)
----> (2)
Compare (1) and (2)
Real part Imaginary part
Summary
Impulse
Step
12
L[δ(t)] 1
L[u(t)]
1/s
a= ω0
L[1]
Advantages of Laplace Transform
▰ Signal which are not convergent on Fourier
transform, will converge in Laplace transform
13
Complex S Plane
▰ The most general form of Laplace
transform is
▰ L[x(t)]= X(s) =
𝑵(𝑺)
𝑫(𝑺)
14
LHS RHS
- ∞ 0 ∞
jω
σ
Complex variable, S= α + jω
The zeros are found by setting the numerator polynomial to Zero
The Poles are found by setting the Denominator polynomial to Zero
Region of Convergence
The range variation of complex variable ‘s’ (σ) for which the Laplace transform
converges(Finite) is called region of convergence.
Properties of ROC of Laplace Transform
 ROC contains strip lines parallel to jω axis in s-plane.
 ROC doesn’t contain any poles
 If x(t) is absolutely integral and it is of finite duration, then ROC is entire s-
plane.
 If x(t) is a right sided signal(causal) then ROC : Re{s} > σ of X(s) extends
to right of the rightmost pole
 If x(t) is a left sided signal then ROC : Re{s} < σ of X(s) extends to left of
the leftmost pole
 If x(t) is a two sided sequence then ROC is the combination of two regions.
15
Properties of ROC of Laplace Transform
▰ ROC doesn’t contain any poles
▰ If x(t) is absolutely integral and it is of finite duration, then ROC is entire
s-plane.
16
L[e-2t u(t)] 1/(s+2)
1/(-2+2)
Poles, S=-2 = 1/0 = ∞
-a a
x(t)
ROC includes
imaginary axis jω
- ∞ 0 ∞
jω
σ
Impulse signal have ROC is entire S plane
▰ If x(t) is a right sided signal(causal) then
ROC : Re{s} > σ of X(s) extends to right
of the rightmost pole
▰ If x(t) is a left sided signal then ROC :
Re{s} < σ of X(s) extends to left of the
leftmost pole
17
- ∞ 0 ∞
jω
σ
- ∞ 0 ∞
jω
σ
▰ If x(t) is a two sided sequence then ROC is the combination of two
regions.
18
- ∞ 0 ∞
jω
σ
Problem using ROC
19
1. Find the Laplace transform and ROC of x(t)=e-at u(t)
Solution
2. Find the Laplace transform and ROC of x(t)=eat u(−t)
Solution
Right sided
signal
Left sided
signal
20
Find the Laplace transform and ROC of x(t)=e−at u(t)+eat u(−t)
Solution
Problem using ROC
Both sided signal
Referring to the diagram, combination region lies from
–a to a. Hence,
Shortcut for ROC
▰ Step 1: Compare real part of S complex variable (σ) with real part of
coefficient of power of e
▰ Step 2: Check if the signal is left sided or right sided, then decide < or >
21
Consider L[e-2t u(t)]
Step 1 : σ = -2
Step 2 : σ > -2
ROC is
Roc helps to check the impulse response is absolutely
integrable or not
22
Shortcut for ROC
Find Roc of following signals
1. x(t) = e-2t u(-t)
2. x(t) = e3t u(t)
3. x(t) = e(4+3j)t u(-t)
4. x(t) = e-4t u(t)
5. x(t) = e3t u(t) + e-2t u(t)
6. x(t) = e3t u(-t) + e-2t u(-t)
7. x(t) = e-3t u(t) + e2t u(-t)
- ∞ 0 ∞
jω
σ
Causality and Stability
▰ For a system to be causal, all poles of its transfer
function must be left half of s-plane.
▰ For causal system: A system is said to be stable
all poles of its transfer function must be left half of
s-plane, (ROC include Imaginary axis jω)
▰ For Anticausal system: A system is said to be
stable all poles of its transfer function must be
RHS of s-plane, (ROC include Imaginary axis jω)
▰ A system is said to be unstable when at least one
pole of its transfer function is shifted to the right
half of s-plane.(ROC doesn’t include Imaginary
axis jω)
23
σ
σ
σ
jω
Poles
24
Problems
Check causality and stability
1. x(t) = e-2t u(-t)
2. x(t) = e3t u(t)
3. x(t) = e(4+3j)t u(-t)
4. x(t) = e-4t u(t)
5. x(t) = e-3t u(t) + e-2t u(t)
For a system to be causal, all poles of its transfer function must be right half of s-plane.
If signal is causal, then ROC Re{s} >a
If signal is Non causal, then ROC Re{s} <a
Causality and Stability
25
5. Find the LT and ROC of x(t)=e−3t u(t)+e-2t u(t), Check causality and stability
Solution:
L[x(t)= L[e−3t u(t)+e-2t u(t)]
X(s) =
1
(𝑠+3)
+
1
(𝑠+2)
ROC: Re{s} =σ >-3, Re{s} =σ >-2
ROC: Re{s} =σ >-2
- ∞ -3 -2 0 ∞
jω
σ
Both will converged if Re{s} =σ >-2
Causal and stable
Summary
26
27
Summary
LT for Elementary signals
28
Properties of Laplace Transform
▰ Linearity
▰ Time Scaling
▰ Time shifting
▰ Frequency or s-plane shift
▰ Multiplication by tn
▰ Integration
29
▰ Differentiation
▰ Convolution
▰ Initial Value Theorem and
Final value Theorem
Linearity
30
Proof:
x(t) X(s)
Problem Hence Proved
1. Find the Laplace transform of x(t) = 2δ(t)+ 3 u(t)
L[δ(t)] 1
L[u(t)] 1/s
L[x(t)] = L[2δ(t)+ 3 u(t)] = X(s) = 2 L[δ(t)] + 3 L[u(t)]
X(s) = 2+ 3(1/s)
y(t) Y(s)
Time Scaling
31
Proof:
x(t) X(s)
Consider
Dummy variable
τ = at
t = τ/ a
dt = dτ/ a
Hence Proved
Time Shifting
32
Proof:
x(t) X(s)
Consider
Dummy variable
τ = t-t0
t = τ + t0
dt = dτ
Hence Proved
Problem : Time shifting
1. Using Time shifting property, solve
33
Solution: x(t) X(s)
L[u(t-3)] =
𝑒−3𝑠
𝑠
L[u(t-3)]
Using Time shifting property
Given : t0 =3
L[u(t-3)] = X(s) = −∞
∞
𝑢(𝑡 − 3)𝑒−𝑠𝑡
𝑑𝑡
= 3
∞
𝑒−𝑠𝑡
𝑑𝑡
=
𝑒−𝑠𝑡
−𝑠
∞
3
L[u(t-3)] = X(s) = 0
∞
𝑢(𝑡 − 3)𝑒−𝑠𝑡
𝑑𝑡
=
1
−𝑠
𝑒−∞
− 𝑒−3𝑠
𝑒−∞
= 0
L[u(t-3)] =
𝑒−3𝑠
𝑠
L[u(t)] =
1
𝑠
Wkt
Time Reversal
34
Proof:
X(s)
x(t)
Time Differentiation
35
Proof:
X(s)
x(t)
General Form
Repeat
Frequency Shifting(s- Shifting) or
Modulation in frequency
36
Proof:
Hence Proved
x(t) X(s)
Problem:
Solution:
1. Find the Laplace transform of and
Solution:
2. solve
37
Solution:
= e-6 L[e-3(t-2) u(t-2)]
Given : t0 =2
= e-6 L[e-3t] e-2s
Wkt, L[e-at ] = (1/s+a)
= e-2s e-6(1/s+3)
=
e−(2s+6)
(s+3)
=
e−2(s+3)
(s+3)
x(t) X(s)
= L[e-3(t-2+2) u(t-2)]
L[u(t-2)] =
𝑒−2𝑠
𝑠
Sub : s by s+3
=
𝑒−2(𝑠+3)
(𝑠+3)
Problem : Frequency Shifting+ Time Shifting
Frequency Differentiation
38
X(s)
x(t)
1.Determine LT of
Solution:
n=1
L[t u(t)] = (-1)
𝑑
𝑑𝑠
L[u(t)]
Wkt
L[u(t)] = 1/s
= (-1)
𝑑
𝑑𝑠
(
1
𝑠
)
= (-1)
𝑑
𝑑𝑠
( 𝑠−1
)
= (-1) ( −𝑠−2
)
= 1/𝑠2
L[t u(t)]
L[t2 u(t)]= 2/𝑠3
Similarly
Ramp signal
Parabolic signal
Convolution Theorem
39
L[x1(t) * x2(t)] X1(s) . X2(s)
1.Consider x1(t) = u(t) and x2(t) =𝑒−5𝑡
u(t)
Y(s) = X1(s) . X2(s)
L[x1(t)] =
1
𝑠
L[x2(t)] =
1
𝑠+5
Y(s) =
𝐴
𝑠
+
𝐵
𝑠+5
Y(s) =
1
𝑠
.
1
𝑠+5
=
𝐴 𝑠+5 +𝐵𝑠
𝑠(𝑆+5)
Y(s) =
1
𝑠(𝑠+5)
Sub s=0
A= 1/5
Sub s=-5
B= -1/5
Y(s) =
1/5
𝑠
+
−1/5
𝑠+5
Sub A and B in (1)
(1)
ILT [Y(s)] = y(t)
y(t) =
1
5
u(t) -
1
5
𝑒−5𝑡
u(t)
Initial and Final Value Theorem
40
Initial value Theorem Final value Theorem
x(∞+) = lim
𝑆→0
𝑠𝑋(𝑠)
x(0+) = lim
𝑆→∞
𝑠𝑋(𝑠)
1. Determine the Initial value and final value of x(t) whose Laplace transform is X(s) =
𝟐𝒔+𝟓
𝒔(𝒔+𝟑)
x(0+) = lim
𝑆→∞
𝑠𝑋(𝑠)
Initial value Theorem
Solution:
x(0+) = lim
𝑆→∞
𝑠
𝟐𝒔+𝟓
𝒔(𝒔+𝟑)
x(0+) = lim
𝑆→∞
𝑠(𝟐+
5
𝑠
)
𝑠(1+
3
𝑠
)
x(0+) = 2
Final value Theorem
x(∞+) = lim
𝑆→0
𝑠𝑋(𝑠)
x(∞+) = lim
𝑆→0
𝑠
𝟐𝒔+𝟓
𝒔(𝒔+𝟑)
x(∞+) =
5
3
Initial and Final Value Theorem
41
Initial value Theorem Final value Theorem
x(∞+) = lim
𝑆→0
𝑠𝑋(𝑠)
x(0+) = lim
𝑆→∞
𝑠𝑋(𝑠)
2. Determine the Initial value and final value of x(t) whose Laplace transform is X(s) =
𝒔+𝟓
(𝒔𝟐+𝟑𝒔+𝟐)
x(0+) = lim
𝑆→∞
𝑠𝑋(𝑠)
Initial value Theorem
Solution:
x(0+) = 1
Final value Theorem
x(∞+) = lim
𝑆→0
𝑠𝑋(𝑠)
x(∞+) = 0
x(0+) = lim
𝑆→∞
𝑠
𝒔+𝟓
(𝒔𝟐+𝟑𝒔+𝟐)
x(0+) = lim
𝑆→∞
𝑠
𝒔(𝟏+
𝟓
𝒔
)
𝒔𝟐(𝟏+
𝟑
𝒔
+
𝟐
𝒔𝟐)
x(∞+) = lim
𝑆→0
𝑠
𝒔+𝟓
(𝒔𝟐+𝟑𝒔+𝟐)
Inverse Laplace transform using Partial
fraction
42
Partial fraction
types
01
L[eat]u(t) = Roc, Re{s} σ > a
L[-e-at]u(-t) = Roc, Re{s} σ < a
02
03
Problems ( Simple Poles)
43
1.Determine Inverse LT of
Solution:
𝐴 𝑠 + 1 𝑠 + 2 + 𝐵𝑠 𝑠 + 2 + 𝐶𝑠(𝑠 + 1)
𝑠(𝑠 + 1)(𝑠 + 2)
2 = 𝐴 𝑠 + 1 𝑠 + 2 + 𝐵𝑠 𝑠 + 2 + 𝐶𝑠(𝑠 + 1)
Sub S= 0
2 = 𝐴 1 2
A = 1
Sub S= -1
2 = 𝐴 −1 + 1 −1 + 2 + 𝐵(−1) −1 + 2 + 𝐶(−1)(−1 + 1)
B = -2
(1)
44
Sub S= -2
2 = 𝐴 −2 + 1 −2 + 2 + 𝐵(−2) −2 + 2 + 𝐶(−2)(−2 + 1)
C = 1
Sub A, B and C in (1)
X(s) =
𝐴
𝑠
+
𝐵
(𝑠 + 1)
+
𝐶
(𝑠 + 2)
X(s) =
1
𝑠
+
−2
(𝑠 + 1)
+
1
(𝑠 + 2)
ILT [X(s)] = x(t)
x(t) =𝑢 𝑡 − 2 𝑒−𝑡
𝑢 𝑡 + 𝑒−2𝑡
𝑢(𝑡)
𝑒−𝑎𝑡
𝑢 𝑡 =
1
(𝑠 + 𝑎)
45
Problems ( Multiple Poles)
2.Determine Inverse LT of
Solution:
=
𝐴 𝑠+1 (𝑠+2)2+𝐵𝑠(𝑠+2)2+𝐶𝑠 𝑠+1 +𝐷𝑠(𝑠+1)(𝑠+2)
𝑠(𝑠+1)(𝑠+2)2
2 = 𝐴 𝑠 + 1 (𝑠 + 2)2
+𝐵𝑠(𝑠 + 2)2
+ 𝐶𝑠 𝑠 + 1 + 𝐷𝑠(𝑠 + 1)(𝑠 + 2)
C = 1
Sub S= 0
A = 1/2
Sub S= -1
B = -2
Sub S= -2
(1)
46
2 = 𝐴 𝑠 + 1 (𝑠 + 2)2
+𝐵𝑠(𝑠 + 2)2
+ 𝐶𝑠 𝑠 + 1 + 𝐷𝑠(𝑠 + 1)(𝑠 + 2)
2 = 𝐴 𝑠 + 1 (𝑠2
+ 2𝑠 + 4) + 𝐵𝑠(𝑠2
+ 2𝑠 + 4) + 𝐶𝑠 𝑠 + 1 + 𝐷𝑠(𝑠2
+ 3𝑠 + 2)
2 = 𝐴𝑠3
+ 2𝐴𝑠2
+ 4𝐴𝑠 + 𝐴𝑠2
+ 2𝐴𝑠 + 4𝐴 + 𝐵𝑠3
+ 2𝐵𝑠2
+ 4𝐵𝑠 + 𝐶𝑠2
+ 𝐶𝑠 + 𝐷𝑠3
+ 3𝐷𝑠2
+ 2𝐷𝑠)
Equating 𝑡ℎ𝑒 𝑐𝑜𝑒𝑓𝑓𝑖𝑐𝑒𝑛𝑡 𝑜𝑓 𝑠3
0= A+B+D
0= 0.5-2+D D= 1.5 or 3/2
X(s) =
𝐴
𝑠
+
𝐵
(𝑠+1)
+
𝐶
(𝑠+2)2 +
𝐷
𝑠+2
Sub A,B,C and D in (1)
X(s) =
0.5
𝑠
−
2
(𝑠+1)
+
1
(𝑠+2)2 +
1.5
𝑠+2
x(t) =0.5𝑢 𝑡 − 2 𝑒−𝑡
𝑢 𝑡 + 𝑡𝑒−2𝑡
𝑢 𝑡 + 1.5 𝑒−2𝑡
𝑢 𝑡
ILT [X(s)] = x(t)
47
Problems ( Complex Poles)
3.Determine Inverse LT of X(s) =
(2𝑠+1)
(𝑠+1)(𝑠2+2𝑠+2)
Solution:
X(s) =
(2𝑠+1)
(𝑠+1)(𝑠2+2𝑠+2)
X(s) =
𝐴
(𝑠+1)
+
𝐵𝑠+ 𝐶
(𝑠2+2𝑠+2)
(2𝑠 + 1)
(𝑠 + 1)(𝑠2 + 2𝑠 + 2)
=
𝐴
(𝑠 + 1)
+
𝐵𝑠 + 𝐶
(𝑠2 + 2𝑠 + 2)
(2𝑠 + 1)
(𝑠 + 1)(𝑠2 + 2𝑠 + 2)
=
𝐴 𝑠2
+ 2𝑠 + 2 + 𝐵𝑠 + 𝐶(𝑠 + 1)
(𝑠 + 1)(𝑠2 + 2𝑠 + 2)
C = 3 A = -1
Equating 𝑡ℎ𝑒 𝑐𝑜𝑒𝑓𝑓𝑖𝑐𝑒𝑛𝑡 𝑜𝑓 𝑠2
, s and constant
B = 1
(1)
48
X(s) =
𝐴
(𝑠 + 1)
+
𝐵𝑠 + 𝐶
(𝑠2 + 2𝑠 + 2)
(1)
Sub A,B and C in (2)
X(s) =
𝐴
(𝑠 + 1)
+
𝐵𝑠 + 𝐶
(𝑠 + 1)2 + 1)
(2)
X(s) =
−1
(𝑠 + 1)
+
𝑠 + 3
(𝑠 + 1)2 + 1)
X(s) =
−1
(𝑠 + 1)
+
𝑠 + 1 + 2
(𝑠 + 1)2 + 1
X(s) =
−1
(𝑠+1)
+
𝑠+1
(𝑠+1)2+1
+
2
(𝑠+1)2+1
ILT [X(s)] = x(t) x(t) =𝑒−𝑡
𝑢 𝑡 − 𝑒−𝑡
cos 𝑡 𝑢 𝑡 + 2𝑒−𝑡
sin 𝑡 𝑢 𝑡
L[𝑒−𝑎𝑡
cos t] 𝑠 + 𝑎
(𝑠 + 𝑎)2 + 𝑎2
L[𝑒−𝑎𝑡
sin t]
𝑎
(𝑠 + 𝑎)2 + 𝑎2
Problems ( Complex Poles)
Problem Using RoC
49
4.Determine Inverse LT of X(s) =
4
(𝑠+2)(𝑠+4)
if ROC (i) -2 >Re(s) > -4 , (ii) Re(s) < -4
=
𝐴 𝑠+4 +𝐵 𝑠+2
(𝑠+2)(𝑠+4)
X(s) =
4
(𝑠+2)(𝑠+4)
=
𝐴
(𝑠+2)
+
𝐵
(𝑠+4)
4
(𝑠+2)(𝑠+4)
A = 2 B = −2
X(s) =
2
(𝑠+2)
-
2
(𝑠+4)
Sub in (1)
(1)
x(t) =2𝑒−2𝑡
𝑢 𝑡 − 2𝑒−4𝑡
𝑢 𝑡
50
(i) ROC -2 >Re(s) > -4
(ii) ROC Re(s) < -4
x(t) = −2𝑒−2𝑡
𝑢 −𝑡 − 2𝑒−4𝑡
𝑢 𝑡
x(t) =2𝑒−2𝑡
𝑢 𝑡 − 2𝑒−4𝑡
𝑢 𝑡
- ∞ 0 ∞
jω
σ
Re(s)<-2 and Re(s)> -4
L[eat]u(t) = Roc, Re{s} σ > a
L[-e-at]u(-t) = Roc, Re{s} σ < a
x(t) =2𝑒−2𝑡
𝑢 𝑡 − 2𝑒−4𝑡
𝑢 𝑡
- ∞ 0 ∞
jω
σ
x(t) = −2𝑒−2𝑡
𝑢 −𝑡 + 2𝑒−4𝑡
𝑢 −𝑡
Problem Using RoC
51
(iii) ROC Re(s) > 2
x(t) =2𝑒−2𝑡
𝑢 𝑡 − 2𝑒−4𝑡
𝑢 𝑡
x(t) =2𝑒−2𝑡
𝑢 𝑡 − 2𝑒−4𝑡
𝑢 𝑡
- ∞ 0 ∞
jω
σ
Problem Using RoC
THANK YOU
53
https://www.tutorialspoint.com/signals_and_systems/region_of_c
onvergence.htm
http://jntuhsd.in/uploads/programmes/Module16_LT_14.0_.2017_
.PDF (Properties)

More Related Content

What's hot

Discrete fourier transform
Discrete fourier transformDiscrete fourier transform
Discrete fourier transform
MOHAMMAD AKRAM
 
Digital Signal Processing Lab Manual ECE students
Digital Signal Processing Lab Manual ECE studentsDigital Signal Processing Lab Manual ECE students
Digital Signal Processing Lab Manual ECE students
UR11EC098
 
Reference for z and inverse z transform
Reference for z and inverse z transformReference for z and inverse z transform
Reference for z and inverse z transform
abayteshome1
 
EC8352- Signals and Systems - Unit 2 - Fourier transform
EC8352- Signals and Systems - Unit 2 - Fourier transformEC8352- Signals and Systems - Unit 2 - Fourier transform
EC8352- Signals and Systems - Unit 2 - Fourier transform
NimithaSoman
 
Lti system
Lti systemLti system
Lti system
Fariza Zahari
 
Radix-2 DIT FFT
Radix-2 DIT FFT Radix-2 DIT FFT
Radix-2 DIT FFT
Sarang Joshi
 
Discrete Time Fourier Transform
Discrete Time Fourier TransformDiscrete Time Fourier Transform
Discrete Time Fourier Transform
Waqas Afzal
 
Fourier Transform ,LAPLACE TRANSFORM,ROC and its Properties
Fourier Transform ,LAPLACE TRANSFORM,ROC and its Properties Fourier Transform ,LAPLACE TRANSFORM,ROC and its Properties
Fourier Transform ,LAPLACE TRANSFORM,ROC and its Properties
Dr.SHANTHI K.G
 
Design of FIR Filters
Design of FIR FiltersDesign of FIR Filters
Design of FIR Filters
Aranya Sarkar
 
Smith chart basics
Smith chart basicsSmith chart basics
Smith chart basics
Mahamed Gamal
 
Fourier transforms
Fourier transformsFourier transforms
Fourier transforms
Iffat Anjum
 
Oscillatorsppt
OscillatorspptOscillatorsppt
Oscillatorsppt
Geetesh Wagadre
 
convolution
convolutionconvolution
convolution
AbhishekLalkiya
 
DSP_2018_FOEHU - Lec 03 - Discrete-Time Signals and Systems
DSP_2018_FOEHU - Lec 03 - Discrete-Time Signals and SystemsDSP_2018_FOEHU - Lec 03 - Discrete-Time Signals and Systems
DSP_2018_FOEHU - Lec 03 - Discrete-Time Signals and Systems
Amr E. Mohamed
 
1.Basics of Signals
1.Basics of Signals1.Basics of Signals
1.Basics of SignalsINDIAN NAVY
 
Fourier transforms
Fourier transforms Fourier transforms
Fourier transforms
Fahad B. Mostafa
 
Signal and System, CT Signal DT Signal, Signal Processing(amplitude and time ...
Signal and System, CT Signal DT Signal, Signal Processing(amplitude and time ...Signal and System, CT Signal DT Signal, Signal Processing(amplitude and time ...
Signal and System, CT Signal DT Signal, Signal Processing(amplitude and time ...
Waqas Afzal
 

What's hot (20)

Discrete fourier transform
Discrete fourier transformDiscrete fourier transform
Discrete fourier transform
 
Digital Signal Processing Lab Manual ECE students
Digital Signal Processing Lab Manual ECE studentsDigital Signal Processing Lab Manual ECE students
Digital Signal Processing Lab Manual ECE students
 
Reference for z and inverse z transform
Reference for z and inverse z transformReference for z and inverse z transform
Reference for z and inverse z transform
 
Z transform
Z transformZ transform
Z transform
 
EC8352- Signals and Systems - Unit 2 - Fourier transform
EC8352- Signals and Systems - Unit 2 - Fourier transformEC8352- Signals and Systems - Unit 2 - Fourier transform
EC8352- Signals and Systems - Unit 2 - Fourier transform
 
Lti system
Lti systemLti system
Lti system
 
Radix-2 DIT FFT
Radix-2 DIT FFT Radix-2 DIT FFT
Radix-2 DIT FFT
 
Discrete Time Fourier Transform
Discrete Time Fourier TransformDiscrete Time Fourier Transform
Discrete Time Fourier Transform
 
Fourier Transform ,LAPLACE TRANSFORM,ROC and its Properties
Fourier Transform ,LAPLACE TRANSFORM,ROC and its Properties Fourier Transform ,LAPLACE TRANSFORM,ROC and its Properties
Fourier Transform ,LAPLACE TRANSFORM,ROC and its Properties
 
Design of FIR Filters
Design of FIR FiltersDesign of FIR Filters
Design of FIR Filters
 
Smith chart basics
Smith chart basicsSmith chart basics
Smith chart basics
 
Fourier transforms
Fourier transformsFourier transforms
Fourier transforms
 
Oscillatorsppt
OscillatorspptOscillatorsppt
Oscillatorsppt
 
convolution
convolutionconvolution
convolution
 
DSP_2018_FOEHU - Lec 03 - Discrete-Time Signals and Systems
DSP_2018_FOEHU - Lec 03 - Discrete-Time Signals and SystemsDSP_2018_FOEHU - Lec 03 - Discrete-Time Signals and Systems
DSP_2018_FOEHU - Lec 03 - Discrete-Time Signals and Systems
 
Amplitude modulation
Amplitude modulationAmplitude modulation
Amplitude modulation
 
1.Basics of Signals
1.Basics of Signals1.Basics of Signals
1.Basics of Signals
 
Design of Filters PPT
Design of Filters PPTDesign of Filters PPT
Design of Filters PPT
 
Fourier transforms
Fourier transforms Fourier transforms
Fourier transforms
 
Signal and System, CT Signal DT Signal, Signal Processing(amplitude and time ...
Signal and System, CT Signal DT Signal, Signal Processing(amplitude and time ...Signal and System, CT Signal DT Signal, Signal Processing(amplitude and time ...
Signal and System, CT Signal DT Signal, Signal Processing(amplitude and time ...
 

Similar to EC8352-Signals and Systems - Laplace transform

Laplace Transform Problems
Laplace Transform ProblemsLaplace Transform Problems
Laplace Transform Problems
Dr.SHANTHI K.G
 
Linear transformation.ppt
Linear transformation.pptLinear transformation.ppt
Linear transformation.ppt
Raj Parekh
 
Circuit Network Analysis - [Chapter5] Transfer function, frequency response, ...
Circuit Network Analysis - [Chapter5] Transfer function, frequency response, ...Circuit Network Analysis - [Chapter5] Transfer function, frequency response, ...
Circuit Network Analysis - [Chapter5] Transfer function, frequency response, ...
Simen Li
 
Laplace_1.ppt
Laplace_1.pptLaplace_1.ppt
Laplace_1.ppt
cantatebrugyral
 
Laplace transforms
Laplace transformsLaplace transforms
Laplace transforms
Awais Chaudhary
 
chapter-2.ppt control system slide for students
chapter-2.ppt control system slide for studentschapter-2.ppt control system slide for students
chapter-2.ppt control system slide for students
lipsa91
 
linear transfermation.pptx
linear transfermation.pptxlinear transfermation.pptx
linear transfermation.pptx
Umme habiba
 
Mcqmc talk
Mcqmc talkMcqmc talk
Ss important questions
Ss important questionsSs important questions
Ss important questionsSowji Laddu
 
Fourier and Laplace transforms in analysis of CT systems PDf.pdf
Fourier and Laplace transforms in analysis of CT systems PDf.pdfFourier and Laplace transforms in analysis of CT systems PDf.pdf
Fourier and Laplace transforms in analysis of CT systems PDf.pdf
Dr.SHANTHI K.G
 
Clase 02-modelado-de-sistemas-de-control (1)
Clase 02-modelado-de-sistemas-de-control (1)Clase 02-modelado-de-sistemas-de-control (1)
Clase 02-modelado-de-sistemas-de-control (1)
ronald sanchez
 
transformada de lapalace universidaqd ppt para find eaño
transformada de lapalace universidaqd ppt para find eañotransformada de lapalace universidaqd ppt para find eaño
transformada de lapalace universidaqd ppt para find eaño
luis506251
 
Signal Processing Homework Help
Signal Processing Homework HelpSignal Processing Homework Help
Signal Processing Homework Help
Matlab Assignment Experts
 
Signals and systems assignment help
Signals and systems assignment helpSignals and systems assignment help
Signals and systems assignment help
Matlab Assignment Experts
 
Seminar Talk: Multilevel Hybrid Split Step Implicit Tau-Leap for Stochastic R...
Seminar Talk: Multilevel Hybrid Split Step Implicit Tau-Leap for Stochastic R...Seminar Talk: Multilevel Hybrid Split Step Implicit Tau-Leap for Stochastic R...
Seminar Talk: Multilevel Hybrid Split Step Implicit Tau-Leap for Stochastic R...
Chiheb Ben Hammouda
 
Circuit Network Analysis - [Chapter4] Laplace Transform
Circuit Network Analysis - [Chapter4] Laplace TransformCircuit Network Analysis - [Chapter4] Laplace Transform
Circuit Network Analysis - [Chapter4] Laplace Transform
Simen Li
 
Digital signal processing on arm new
Digital signal processing on arm newDigital signal processing on arm new
Digital signal processing on arm new
Israel Gbati
 

Similar to EC8352-Signals and Systems - Laplace transform (20)

Laplace Transform Problems
Laplace Transform ProblemsLaplace Transform Problems
Laplace Transform Problems
 
Linear transformation.ppt
Linear transformation.pptLinear transformation.ppt
Linear transformation.ppt
 
Circuit Network Analysis - [Chapter5] Transfer function, frequency response, ...
Circuit Network Analysis - [Chapter5] Transfer function, frequency response, ...Circuit Network Analysis - [Chapter5] Transfer function, frequency response, ...
Circuit Network Analysis - [Chapter5] Transfer function, frequency response, ...
 
Laplace_1.ppt
Laplace_1.pptLaplace_1.ppt
Laplace_1.ppt
 
Laplace transforms
Laplace transformsLaplace transforms
Laplace transforms
 
chapter-2.ppt control system slide for students
chapter-2.ppt control system slide for studentschapter-2.ppt control system slide for students
chapter-2.ppt control system slide for students
 
linear transfermation.pptx
linear transfermation.pptxlinear transfermation.pptx
linear transfermation.pptx
 
TLT
TLTTLT
TLT
 
Mcqmc talk
Mcqmc talkMcqmc talk
Mcqmc talk
 
Ss important questions
Ss important questionsSs important questions
Ss important questions
 
Signal & system
Signal & systemSignal & system
Signal & system
 
Fourier and Laplace transforms in analysis of CT systems PDf.pdf
Fourier and Laplace transforms in analysis of CT systems PDf.pdfFourier and Laplace transforms in analysis of CT systems PDf.pdf
Fourier and Laplace transforms in analysis of CT systems PDf.pdf
 
Clase 02-modelado-de-sistemas-de-control (1)
Clase 02-modelado-de-sistemas-de-control (1)Clase 02-modelado-de-sistemas-de-control (1)
Clase 02-modelado-de-sistemas-de-control (1)
 
transformada de lapalace universidaqd ppt para find eaño
transformada de lapalace universidaqd ppt para find eañotransformada de lapalace universidaqd ppt para find eaño
transformada de lapalace universidaqd ppt para find eaño
 
Signal Processing Homework Help
Signal Processing Homework HelpSignal Processing Homework Help
Signal Processing Homework Help
 
Signals and systems assignment help
Signals and systems assignment helpSignals and systems assignment help
Signals and systems assignment help
 
Seminar Talk: Multilevel Hybrid Split Step Implicit Tau-Leap for Stochastic R...
Seminar Talk: Multilevel Hybrid Split Step Implicit Tau-Leap for Stochastic R...Seminar Talk: Multilevel Hybrid Split Step Implicit Tau-Leap for Stochastic R...
Seminar Talk: Multilevel Hybrid Split Step Implicit Tau-Leap for Stochastic R...
 
Circuit Network Analysis - [Chapter4] Laplace Transform
Circuit Network Analysis - [Chapter4] Laplace TransformCircuit Network Analysis - [Chapter4] Laplace Transform
Circuit Network Analysis - [Chapter4] Laplace Transform
 
Digital signal processing on arm new
Digital signal processing on arm newDigital signal processing on arm new
Digital signal processing on arm new
 
residue
residueresidue
residue
 

Recently uploaded

Palestine last event orientationfvgnh .pptx
Palestine last event orientationfvgnh .pptxPalestine last event orientationfvgnh .pptx
Palestine last event orientationfvgnh .pptx
RaedMohamed3
 
Template Jadual Bertugas Kelas (Boleh Edit)
Template Jadual Bertugas Kelas (Boleh Edit)Template Jadual Bertugas Kelas (Boleh Edit)
Template Jadual Bertugas Kelas (Boleh Edit)
rosedainty
 
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
siemaillard
 
Supporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptxSupporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptx
Jisc
 
The geography of Taylor Swift - some ideas
The geography of Taylor Swift - some ideasThe geography of Taylor Swift - some ideas
The geography of Taylor Swift - some ideas
GeoBlogs
 
Synthetic Fiber Construction in lab .pptx
Synthetic Fiber Construction in lab .pptxSynthetic Fiber Construction in lab .pptx
Synthetic Fiber Construction in lab .pptx
Pavel ( NSTU)
 
GIÁO ÁN DẠY THÊM (KẾ HOẠCH BÀI BUỔI 2) - TIẾNG ANH 8 GLOBAL SUCCESS (2 CỘT) N...
GIÁO ÁN DẠY THÊM (KẾ HOẠCH BÀI BUỔI 2) - TIẾNG ANH 8 GLOBAL SUCCESS (2 CỘT) N...GIÁO ÁN DẠY THÊM (KẾ HOẠCH BÀI BUỔI 2) - TIẾNG ANH 8 GLOBAL SUCCESS (2 CỘT) N...
GIÁO ÁN DẠY THÊM (KẾ HOẠCH BÀI BUỔI 2) - TIẾNG ANH 8 GLOBAL SUCCESS (2 CỘT) N...
Nguyen Thanh Tu Collection
 
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdf
Welcome to TechSoup   New Member Orientation and Q&A (May 2024).pdfWelcome to TechSoup   New Member Orientation and Q&A (May 2024).pdf
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdf
TechSoup
 
Unit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdfUnit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdf
Thiyagu K
 
Introduction to Quality Improvement Essentials
Introduction to Quality Improvement EssentialsIntroduction to Quality Improvement Essentials
Introduction to Quality Improvement Essentials
Excellence Foundation for South Sudan
 
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCECLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
BhavyaRajput3
 
Basic phrases for greeting and assisting costumers
Basic phrases for greeting and assisting costumersBasic phrases for greeting and assisting costumers
Basic phrases for greeting and assisting costumers
PedroFerreira53928
 
How to Break the cycle of negative Thoughts
How to Break the cycle of negative ThoughtsHow to Break the cycle of negative Thoughts
How to Break the cycle of negative Thoughts
Col Mukteshwar Prasad
 
Ethnobotany and Ethnopharmacology ......
Ethnobotany and Ethnopharmacology ......Ethnobotany and Ethnopharmacology ......
Ethnobotany and Ethnopharmacology ......
Ashokrao Mane college of Pharmacy Peth-Vadgaon
 
Polish students' mobility in the Czech Republic
Polish students' mobility in the Czech RepublicPolish students' mobility in the Czech Republic
Polish students' mobility in the Czech Republic
Anna Sz.
 
Sectors of the Indian Economy - Class 10 Study Notes pdf
Sectors of the Indian Economy - Class 10 Study Notes pdfSectors of the Indian Economy - Class 10 Study Notes pdf
Sectors of the Indian Economy - Class 10 Study Notes pdf
Vivekanand Anglo Vedic Academy
 
Operation Blue Star - Saka Neela Tara
Operation Blue Star   -  Saka Neela TaraOperation Blue Star   -  Saka Neela Tara
Operation Blue Star - Saka Neela Tara
Balvir Singh
 
Unit 8 - Information and Communication Technology (Paper I).pdf
Unit 8 - Information and Communication Technology (Paper I).pdfUnit 8 - Information and Communication Technology (Paper I).pdf
Unit 8 - Information and Communication Technology (Paper I).pdf
Thiyagu K
 
How to Create Map Views in the Odoo 17 ERP
How to Create Map Views in the Odoo 17 ERPHow to Create Map Views in the Odoo 17 ERP
How to Create Map Views in the Odoo 17 ERP
Celine George
 
1.4 modern child centered education - mahatma gandhi-2.pptx
1.4 modern child centered education - mahatma gandhi-2.pptx1.4 modern child centered education - mahatma gandhi-2.pptx
1.4 modern child centered education - mahatma gandhi-2.pptx
JosvitaDsouza2
 

Recently uploaded (20)

Palestine last event orientationfvgnh .pptx
Palestine last event orientationfvgnh .pptxPalestine last event orientationfvgnh .pptx
Palestine last event orientationfvgnh .pptx
 
Template Jadual Bertugas Kelas (Boleh Edit)
Template Jadual Bertugas Kelas (Boleh Edit)Template Jadual Bertugas Kelas (Boleh Edit)
Template Jadual Bertugas Kelas (Boleh Edit)
 
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
 
Supporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptxSupporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptx
 
The geography of Taylor Swift - some ideas
The geography of Taylor Swift - some ideasThe geography of Taylor Swift - some ideas
The geography of Taylor Swift - some ideas
 
Synthetic Fiber Construction in lab .pptx
Synthetic Fiber Construction in lab .pptxSynthetic Fiber Construction in lab .pptx
Synthetic Fiber Construction in lab .pptx
 
GIÁO ÁN DẠY THÊM (KẾ HOẠCH BÀI BUỔI 2) - TIẾNG ANH 8 GLOBAL SUCCESS (2 CỘT) N...
GIÁO ÁN DẠY THÊM (KẾ HOẠCH BÀI BUỔI 2) - TIẾNG ANH 8 GLOBAL SUCCESS (2 CỘT) N...GIÁO ÁN DẠY THÊM (KẾ HOẠCH BÀI BUỔI 2) - TIẾNG ANH 8 GLOBAL SUCCESS (2 CỘT) N...
GIÁO ÁN DẠY THÊM (KẾ HOẠCH BÀI BUỔI 2) - TIẾNG ANH 8 GLOBAL SUCCESS (2 CỘT) N...
 
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdf
Welcome to TechSoup   New Member Orientation and Q&A (May 2024).pdfWelcome to TechSoup   New Member Orientation and Q&A (May 2024).pdf
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdf
 
Unit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdfUnit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdf
 
Introduction to Quality Improvement Essentials
Introduction to Quality Improvement EssentialsIntroduction to Quality Improvement Essentials
Introduction to Quality Improvement Essentials
 
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCECLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
 
Basic phrases for greeting and assisting costumers
Basic phrases for greeting and assisting costumersBasic phrases for greeting and assisting costumers
Basic phrases for greeting and assisting costumers
 
How to Break the cycle of negative Thoughts
How to Break the cycle of negative ThoughtsHow to Break the cycle of negative Thoughts
How to Break the cycle of negative Thoughts
 
Ethnobotany and Ethnopharmacology ......
Ethnobotany and Ethnopharmacology ......Ethnobotany and Ethnopharmacology ......
Ethnobotany and Ethnopharmacology ......
 
Polish students' mobility in the Czech Republic
Polish students' mobility in the Czech RepublicPolish students' mobility in the Czech Republic
Polish students' mobility in the Czech Republic
 
Sectors of the Indian Economy - Class 10 Study Notes pdf
Sectors of the Indian Economy - Class 10 Study Notes pdfSectors of the Indian Economy - Class 10 Study Notes pdf
Sectors of the Indian Economy - Class 10 Study Notes pdf
 
Operation Blue Star - Saka Neela Tara
Operation Blue Star   -  Saka Neela TaraOperation Blue Star   -  Saka Neela Tara
Operation Blue Star - Saka Neela Tara
 
Unit 8 - Information and Communication Technology (Paper I).pdf
Unit 8 - Information and Communication Technology (Paper I).pdfUnit 8 - Information and Communication Technology (Paper I).pdf
Unit 8 - Information and Communication Technology (Paper I).pdf
 
How to Create Map Views in the Odoo 17 ERP
How to Create Map Views in the Odoo 17 ERPHow to Create Map Views in the Odoo 17 ERP
How to Create Map Views in the Odoo 17 ERP
 
1.4 modern child centered education - mahatma gandhi-2.pptx
1.4 modern child centered education - mahatma gandhi-2.pptx1.4 modern child centered education - mahatma gandhi-2.pptx
1.4 modern child centered education - mahatma gandhi-2.pptx
 

EC8352-Signals and Systems - Laplace transform

  • 1. Hello! Nimitha N Assistant Professor/ECE nimithaece@rmkcet.ac.in 1 Pierre-Simon Laplace One of the first scientists to suggest the existence of black holes
  • 4. Deals with Aperiodic Signals Input signal changing often at t=0 Stability analysis Region of Convergence Time Domain to complex frequency domain(S-Domain) 4 Laplace Transform
  • 5. Formula for Laplace Transform 5 ▰ It is used to transform a time domain to complex frequency domain signal (s-domain) ▰ Two Sided Laplace transform (or) Bilateral Laplace transform Let 𝑥(𝑡) be a continuous time signal defined for all values of 𝑡. Let 𝑋(𝑆) be Laplace transform of 𝑥(𝑡). ▰ One sided Laplace transform (or) Unilateral Laplace transform Let 𝑥(𝑡) be a continuous time signal defined for 𝑡≥0 (ie If 𝑥(𝑡) is causal) then,
  • 6. ▰ Inverse Laplace transform (S-domain signal 𝑋(𝑆) Time domain signal x(t) ) ▰ Transform: x(t)  X(s), where t is integrated and s is variable ▰ Conversely X(s)  x(t), t is variable and s is integrated ▰ The Laplace transform helps to scan exponential signal and sinusoidal signal 6 Complex variable, S= α + jω Formula for Laplace Transform
  • 7. Laplace transform for elementary signals 1) Solution 2) Solution 7 Impulse signal L[δ(t)] Step signal L[u(t)]
  • 8. Laplace transform for elementary signals 3) Solution 4) Solution 8 Constant Exponential signal
  • 9. Laplace transform for elementary signals 5) 6) Solution W.k.t 9 Exponential signal
  • 10. Laplace transform for elementary signals 7) 8) 9) 10 Hint x(t) = cos ω0 t u(t) x(t) = sin ω0 t u(t)
  • 11. Laplace transform for elementary signals 8) Solution Using Euler’s Formula 11 ----> (1) (𝒔 + 𝒊𝒂) (𝒔 + 𝒊𝒂) ----> (2) Compare (1) and (2) Real part Imaginary part
  • 13. Advantages of Laplace Transform ▰ Signal which are not convergent on Fourier transform, will converge in Laplace transform 13
  • 14. Complex S Plane ▰ The most general form of Laplace transform is ▰ L[x(t)]= X(s) = 𝑵(𝑺) 𝑫(𝑺) 14 LHS RHS - ∞ 0 ∞ jω σ Complex variable, S= α + jω The zeros are found by setting the numerator polynomial to Zero The Poles are found by setting the Denominator polynomial to Zero
  • 15. Region of Convergence The range variation of complex variable ‘s’ (σ) for which the Laplace transform converges(Finite) is called region of convergence. Properties of ROC of Laplace Transform  ROC contains strip lines parallel to jω axis in s-plane.  ROC doesn’t contain any poles  If x(t) is absolutely integral and it is of finite duration, then ROC is entire s- plane.  If x(t) is a right sided signal(causal) then ROC : Re{s} > σ of X(s) extends to right of the rightmost pole  If x(t) is a left sided signal then ROC : Re{s} < σ of X(s) extends to left of the leftmost pole  If x(t) is a two sided sequence then ROC is the combination of two regions. 15
  • 16. Properties of ROC of Laplace Transform ▰ ROC doesn’t contain any poles ▰ If x(t) is absolutely integral and it is of finite duration, then ROC is entire s-plane. 16 L[e-2t u(t)] 1/(s+2) 1/(-2+2) Poles, S=-2 = 1/0 = ∞ -a a x(t) ROC includes imaginary axis jω - ∞ 0 ∞ jω σ Impulse signal have ROC is entire S plane
  • 17. ▰ If x(t) is a right sided signal(causal) then ROC : Re{s} > σ of X(s) extends to right of the rightmost pole ▰ If x(t) is a left sided signal then ROC : Re{s} < σ of X(s) extends to left of the leftmost pole 17 - ∞ 0 ∞ jω σ - ∞ 0 ∞ jω σ
  • 18. ▰ If x(t) is a two sided sequence then ROC is the combination of two regions. 18 - ∞ 0 ∞ jω σ
  • 19. Problem using ROC 19 1. Find the Laplace transform and ROC of x(t)=e-at u(t) Solution 2. Find the Laplace transform and ROC of x(t)=eat u(−t) Solution Right sided signal Left sided signal
  • 20. 20 Find the Laplace transform and ROC of x(t)=e−at u(t)+eat u(−t) Solution Problem using ROC Both sided signal Referring to the diagram, combination region lies from –a to a. Hence,
  • 21. Shortcut for ROC ▰ Step 1: Compare real part of S complex variable (σ) with real part of coefficient of power of e ▰ Step 2: Check if the signal is left sided or right sided, then decide < or > 21 Consider L[e-2t u(t)] Step 1 : σ = -2 Step 2 : σ > -2 ROC is
  • 22. Roc helps to check the impulse response is absolutely integrable or not 22 Shortcut for ROC Find Roc of following signals 1. x(t) = e-2t u(-t) 2. x(t) = e3t u(t) 3. x(t) = e(4+3j)t u(-t) 4. x(t) = e-4t u(t) 5. x(t) = e3t u(t) + e-2t u(t) 6. x(t) = e3t u(-t) + e-2t u(-t) 7. x(t) = e-3t u(t) + e2t u(-t) - ∞ 0 ∞ jω σ
  • 23. Causality and Stability ▰ For a system to be causal, all poles of its transfer function must be left half of s-plane. ▰ For causal system: A system is said to be stable all poles of its transfer function must be left half of s-plane, (ROC include Imaginary axis jω) ▰ For Anticausal system: A system is said to be stable all poles of its transfer function must be RHS of s-plane, (ROC include Imaginary axis jω) ▰ A system is said to be unstable when at least one pole of its transfer function is shifted to the right half of s-plane.(ROC doesn’t include Imaginary axis jω) 23 σ σ σ jω Poles
  • 24. 24 Problems Check causality and stability 1. x(t) = e-2t u(-t) 2. x(t) = e3t u(t) 3. x(t) = e(4+3j)t u(-t) 4. x(t) = e-4t u(t) 5. x(t) = e-3t u(t) + e-2t u(t) For a system to be causal, all poles of its transfer function must be right half of s-plane. If signal is causal, then ROC Re{s} >a If signal is Non causal, then ROC Re{s} <a
  • 25. Causality and Stability 25 5. Find the LT and ROC of x(t)=e−3t u(t)+e-2t u(t), Check causality and stability Solution: L[x(t)= L[e−3t u(t)+e-2t u(t)] X(s) = 1 (𝑠+3) + 1 (𝑠+2) ROC: Re{s} =σ >-3, Re{s} =σ >-2 ROC: Re{s} =σ >-2 - ∞ -3 -2 0 ∞ jω σ Both will converged if Re{s} =σ >-2 Causal and stable
  • 28. LT for Elementary signals 28
  • 29. Properties of Laplace Transform ▰ Linearity ▰ Time Scaling ▰ Time shifting ▰ Frequency or s-plane shift ▰ Multiplication by tn ▰ Integration 29 ▰ Differentiation ▰ Convolution ▰ Initial Value Theorem and Final value Theorem
  • 30. Linearity 30 Proof: x(t) X(s) Problem Hence Proved 1. Find the Laplace transform of x(t) = 2δ(t)+ 3 u(t) L[δ(t)] 1 L[u(t)] 1/s L[x(t)] = L[2δ(t)+ 3 u(t)] = X(s) = 2 L[δ(t)] + 3 L[u(t)] X(s) = 2+ 3(1/s) y(t) Y(s)
  • 31. Time Scaling 31 Proof: x(t) X(s) Consider Dummy variable τ = at t = τ/ a dt = dτ/ a Hence Proved
  • 32. Time Shifting 32 Proof: x(t) X(s) Consider Dummy variable τ = t-t0 t = τ + t0 dt = dτ Hence Proved
  • 33. Problem : Time shifting 1. Using Time shifting property, solve 33 Solution: x(t) X(s) L[u(t-3)] = 𝑒−3𝑠 𝑠 L[u(t-3)] Using Time shifting property Given : t0 =3 L[u(t-3)] = X(s) = −∞ ∞ 𝑢(𝑡 − 3)𝑒−𝑠𝑡 𝑑𝑡 = 3 ∞ 𝑒−𝑠𝑡 𝑑𝑡 = 𝑒−𝑠𝑡 −𝑠 ∞ 3 L[u(t-3)] = X(s) = 0 ∞ 𝑢(𝑡 − 3)𝑒−𝑠𝑡 𝑑𝑡 = 1 −𝑠 𝑒−∞ − 𝑒−3𝑠 𝑒−∞ = 0 L[u(t-3)] = 𝑒−3𝑠 𝑠 L[u(t)] = 1 𝑠 Wkt
  • 36. Frequency Shifting(s- Shifting) or Modulation in frequency 36 Proof: Hence Proved x(t) X(s) Problem: Solution: 1. Find the Laplace transform of and Solution:
  • 37. 2. solve 37 Solution: = e-6 L[e-3(t-2) u(t-2)] Given : t0 =2 = e-6 L[e-3t] e-2s Wkt, L[e-at ] = (1/s+a) = e-2s e-6(1/s+3) = e−(2s+6) (s+3) = e−2(s+3) (s+3) x(t) X(s) = L[e-3(t-2+2) u(t-2)] L[u(t-2)] = 𝑒−2𝑠 𝑠 Sub : s by s+3 = 𝑒−2(𝑠+3) (𝑠+3) Problem : Frequency Shifting+ Time Shifting
  • 38. Frequency Differentiation 38 X(s) x(t) 1.Determine LT of Solution: n=1 L[t u(t)] = (-1) 𝑑 𝑑𝑠 L[u(t)] Wkt L[u(t)] = 1/s = (-1) 𝑑 𝑑𝑠 ( 1 𝑠 ) = (-1) 𝑑 𝑑𝑠 ( 𝑠−1 ) = (-1) ( −𝑠−2 ) = 1/𝑠2 L[t u(t)] L[t2 u(t)]= 2/𝑠3 Similarly Ramp signal Parabolic signal
  • 39. Convolution Theorem 39 L[x1(t) * x2(t)] X1(s) . X2(s) 1.Consider x1(t) = u(t) and x2(t) =𝑒−5𝑡 u(t) Y(s) = X1(s) . X2(s) L[x1(t)] = 1 𝑠 L[x2(t)] = 1 𝑠+5 Y(s) = 𝐴 𝑠 + 𝐵 𝑠+5 Y(s) = 1 𝑠 . 1 𝑠+5 = 𝐴 𝑠+5 +𝐵𝑠 𝑠(𝑆+5) Y(s) = 1 𝑠(𝑠+5) Sub s=0 A= 1/5 Sub s=-5 B= -1/5 Y(s) = 1/5 𝑠 + −1/5 𝑠+5 Sub A and B in (1) (1) ILT [Y(s)] = y(t) y(t) = 1 5 u(t) - 1 5 𝑒−5𝑡 u(t)
  • 40. Initial and Final Value Theorem 40 Initial value Theorem Final value Theorem x(∞+) = lim 𝑆→0 𝑠𝑋(𝑠) x(0+) = lim 𝑆→∞ 𝑠𝑋(𝑠) 1. Determine the Initial value and final value of x(t) whose Laplace transform is X(s) = 𝟐𝒔+𝟓 𝒔(𝒔+𝟑) x(0+) = lim 𝑆→∞ 𝑠𝑋(𝑠) Initial value Theorem Solution: x(0+) = lim 𝑆→∞ 𝑠 𝟐𝒔+𝟓 𝒔(𝒔+𝟑) x(0+) = lim 𝑆→∞ 𝑠(𝟐+ 5 𝑠 ) 𝑠(1+ 3 𝑠 ) x(0+) = 2 Final value Theorem x(∞+) = lim 𝑆→0 𝑠𝑋(𝑠) x(∞+) = lim 𝑆→0 𝑠 𝟐𝒔+𝟓 𝒔(𝒔+𝟑) x(∞+) = 5 3
  • 41. Initial and Final Value Theorem 41 Initial value Theorem Final value Theorem x(∞+) = lim 𝑆→0 𝑠𝑋(𝑠) x(0+) = lim 𝑆→∞ 𝑠𝑋(𝑠) 2. Determine the Initial value and final value of x(t) whose Laplace transform is X(s) = 𝒔+𝟓 (𝒔𝟐+𝟑𝒔+𝟐) x(0+) = lim 𝑆→∞ 𝑠𝑋(𝑠) Initial value Theorem Solution: x(0+) = 1 Final value Theorem x(∞+) = lim 𝑆→0 𝑠𝑋(𝑠) x(∞+) = 0 x(0+) = lim 𝑆→∞ 𝑠 𝒔+𝟓 (𝒔𝟐+𝟑𝒔+𝟐) x(0+) = lim 𝑆→∞ 𝑠 𝒔(𝟏+ 𝟓 𝒔 ) 𝒔𝟐(𝟏+ 𝟑 𝒔 + 𝟐 𝒔𝟐) x(∞+) = lim 𝑆→0 𝑠 𝒔+𝟓 (𝒔𝟐+𝟑𝒔+𝟐)
  • 42. Inverse Laplace transform using Partial fraction 42 Partial fraction types 01 L[eat]u(t) = Roc, Re{s} σ > a L[-e-at]u(-t) = Roc, Re{s} σ < a 02 03
  • 43. Problems ( Simple Poles) 43 1.Determine Inverse LT of Solution: 𝐴 𝑠 + 1 𝑠 + 2 + 𝐵𝑠 𝑠 + 2 + 𝐶𝑠(𝑠 + 1) 𝑠(𝑠 + 1)(𝑠 + 2) 2 = 𝐴 𝑠 + 1 𝑠 + 2 + 𝐵𝑠 𝑠 + 2 + 𝐶𝑠(𝑠 + 1) Sub S= 0 2 = 𝐴 1 2 A = 1 Sub S= -1 2 = 𝐴 −1 + 1 −1 + 2 + 𝐵(−1) −1 + 2 + 𝐶(−1)(−1 + 1) B = -2 (1)
  • 44. 44 Sub S= -2 2 = 𝐴 −2 + 1 −2 + 2 + 𝐵(−2) −2 + 2 + 𝐶(−2)(−2 + 1) C = 1 Sub A, B and C in (1) X(s) = 𝐴 𝑠 + 𝐵 (𝑠 + 1) + 𝐶 (𝑠 + 2) X(s) = 1 𝑠 + −2 (𝑠 + 1) + 1 (𝑠 + 2) ILT [X(s)] = x(t) x(t) =𝑢 𝑡 − 2 𝑒−𝑡 𝑢 𝑡 + 𝑒−2𝑡 𝑢(𝑡) 𝑒−𝑎𝑡 𝑢 𝑡 = 1 (𝑠 + 𝑎)
  • 45. 45 Problems ( Multiple Poles) 2.Determine Inverse LT of Solution: = 𝐴 𝑠+1 (𝑠+2)2+𝐵𝑠(𝑠+2)2+𝐶𝑠 𝑠+1 +𝐷𝑠(𝑠+1)(𝑠+2) 𝑠(𝑠+1)(𝑠+2)2 2 = 𝐴 𝑠 + 1 (𝑠 + 2)2 +𝐵𝑠(𝑠 + 2)2 + 𝐶𝑠 𝑠 + 1 + 𝐷𝑠(𝑠 + 1)(𝑠 + 2) C = 1 Sub S= 0 A = 1/2 Sub S= -1 B = -2 Sub S= -2 (1)
  • 46. 46 2 = 𝐴 𝑠 + 1 (𝑠 + 2)2 +𝐵𝑠(𝑠 + 2)2 + 𝐶𝑠 𝑠 + 1 + 𝐷𝑠(𝑠 + 1)(𝑠 + 2) 2 = 𝐴 𝑠 + 1 (𝑠2 + 2𝑠 + 4) + 𝐵𝑠(𝑠2 + 2𝑠 + 4) + 𝐶𝑠 𝑠 + 1 + 𝐷𝑠(𝑠2 + 3𝑠 + 2) 2 = 𝐴𝑠3 + 2𝐴𝑠2 + 4𝐴𝑠 + 𝐴𝑠2 + 2𝐴𝑠 + 4𝐴 + 𝐵𝑠3 + 2𝐵𝑠2 + 4𝐵𝑠 + 𝐶𝑠2 + 𝐶𝑠 + 𝐷𝑠3 + 3𝐷𝑠2 + 2𝐷𝑠) Equating 𝑡ℎ𝑒 𝑐𝑜𝑒𝑓𝑓𝑖𝑐𝑒𝑛𝑡 𝑜𝑓 𝑠3 0= A+B+D 0= 0.5-2+D D= 1.5 or 3/2 X(s) = 𝐴 𝑠 + 𝐵 (𝑠+1) + 𝐶 (𝑠+2)2 + 𝐷 𝑠+2 Sub A,B,C and D in (1) X(s) = 0.5 𝑠 − 2 (𝑠+1) + 1 (𝑠+2)2 + 1.5 𝑠+2 x(t) =0.5𝑢 𝑡 − 2 𝑒−𝑡 𝑢 𝑡 + 𝑡𝑒−2𝑡 𝑢 𝑡 + 1.5 𝑒−2𝑡 𝑢 𝑡 ILT [X(s)] = x(t)
  • 47. 47 Problems ( Complex Poles) 3.Determine Inverse LT of X(s) = (2𝑠+1) (𝑠+1)(𝑠2+2𝑠+2) Solution: X(s) = (2𝑠+1) (𝑠+1)(𝑠2+2𝑠+2) X(s) = 𝐴 (𝑠+1) + 𝐵𝑠+ 𝐶 (𝑠2+2𝑠+2) (2𝑠 + 1) (𝑠 + 1)(𝑠2 + 2𝑠 + 2) = 𝐴 (𝑠 + 1) + 𝐵𝑠 + 𝐶 (𝑠2 + 2𝑠 + 2) (2𝑠 + 1) (𝑠 + 1)(𝑠2 + 2𝑠 + 2) = 𝐴 𝑠2 + 2𝑠 + 2 + 𝐵𝑠 + 𝐶(𝑠 + 1) (𝑠 + 1)(𝑠2 + 2𝑠 + 2) C = 3 A = -1 Equating 𝑡ℎ𝑒 𝑐𝑜𝑒𝑓𝑓𝑖𝑐𝑒𝑛𝑡 𝑜𝑓 𝑠2 , s and constant B = 1 (1)
  • 48. 48 X(s) = 𝐴 (𝑠 + 1) + 𝐵𝑠 + 𝐶 (𝑠2 + 2𝑠 + 2) (1) Sub A,B and C in (2) X(s) = 𝐴 (𝑠 + 1) + 𝐵𝑠 + 𝐶 (𝑠 + 1)2 + 1) (2) X(s) = −1 (𝑠 + 1) + 𝑠 + 3 (𝑠 + 1)2 + 1) X(s) = −1 (𝑠 + 1) + 𝑠 + 1 + 2 (𝑠 + 1)2 + 1 X(s) = −1 (𝑠+1) + 𝑠+1 (𝑠+1)2+1 + 2 (𝑠+1)2+1 ILT [X(s)] = x(t) x(t) =𝑒−𝑡 𝑢 𝑡 − 𝑒−𝑡 cos 𝑡 𝑢 𝑡 + 2𝑒−𝑡 sin 𝑡 𝑢 𝑡 L[𝑒−𝑎𝑡 cos t] 𝑠 + 𝑎 (𝑠 + 𝑎)2 + 𝑎2 L[𝑒−𝑎𝑡 sin t] 𝑎 (𝑠 + 𝑎)2 + 𝑎2 Problems ( Complex Poles)
  • 49. Problem Using RoC 49 4.Determine Inverse LT of X(s) = 4 (𝑠+2)(𝑠+4) if ROC (i) -2 >Re(s) > -4 , (ii) Re(s) < -4 = 𝐴 𝑠+4 +𝐵 𝑠+2 (𝑠+2)(𝑠+4) X(s) = 4 (𝑠+2)(𝑠+4) = 𝐴 (𝑠+2) + 𝐵 (𝑠+4) 4 (𝑠+2)(𝑠+4) A = 2 B = −2 X(s) = 2 (𝑠+2) - 2 (𝑠+4) Sub in (1) (1) x(t) =2𝑒−2𝑡 𝑢 𝑡 − 2𝑒−4𝑡 𝑢 𝑡
  • 50. 50 (i) ROC -2 >Re(s) > -4 (ii) ROC Re(s) < -4 x(t) = −2𝑒−2𝑡 𝑢 −𝑡 − 2𝑒−4𝑡 𝑢 𝑡 x(t) =2𝑒−2𝑡 𝑢 𝑡 − 2𝑒−4𝑡 𝑢 𝑡 - ∞ 0 ∞ jω σ Re(s)<-2 and Re(s)> -4 L[eat]u(t) = Roc, Re{s} σ > a L[-e-at]u(-t) = Roc, Re{s} σ < a x(t) =2𝑒−2𝑡 𝑢 𝑡 − 2𝑒−4𝑡 𝑢 𝑡 - ∞ 0 ∞ jω σ x(t) = −2𝑒−2𝑡 𝑢 −𝑡 + 2𝑒−4𝑡 𝑢 −𝑡 Problem Using RoC
  • 51. 51 (iii) ROC Re(s) > 2 x(t) =2𝑒−2𝑡 𝑢 𝑡 − 2𝑒−4𝑡 𝑢 𝑡 x(t) =2𝑒−2𝑡 𝑢 𝑡 − 2𝑒−4𝑡 𝑢 𝑡 - ∞ 0 ∞ jω σ Problem Using RoC