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EITF75 Systems and Signals
Lecture 2
LTI systems: convolutions,
impulse responses (and more)
Fredrik Rusek
EITF75 Systems and Signals
system
LTI systems
A system is LTI if-and-only if:
• It is linear
• It is time-invariant
Linear system Time invariant system
EITF75 Systems and Signals
LTI
LTI systems Today we will show that these are
equivalent
For some h(k)
For some a(k), b(k)
EITF75 Systems and Signals
LTI
LTI systems Today we will show that these are
equivalent
For some h(k)
For some a(k), b(k)
We start here
Alt method at the end
EITF75 Systems and Signals
LTI
system
A system is LTI if-and-only if:
• It is linear
• It is time-invariant
Input signal Output signal
EITF75 Systems and Signals
Summary
LTI
Input/Output relation
(Convolution)
Short-hand notation
EITF75 Systems and Signals
Agenda
Get familiar with through some examples
For what do we have BIBO stability?
Prove equivalence between and
Some notes on correlation functions
Next (Today)
In the long run (Loosely speaking)
Study in detail via z-transform,
and 2 types
of Fourier transforms
The sampling-reconstruction issues
EITF75 Systems and Signals
Example
Given: Input signal and impulse response
Find: Output signal
”Home work 1”
Verify that causal x(n) and causal
h(n) yields causal y(n)
”Home work 2”
If x(n) starts at -3, and h(n) at -4.
When does y(n) start?
”Home work 3”
etc
EITF75 Systems and Signals
Example
Given: Input signal and impulse response
Find: Output signal
Three more methods
Method 1
EITF75 Systems and Signals
Example
Given: Input signal and impulse response
Find: Output signal
Three more methods
Method 1
EITF75 Systems and Signals
Example
Given: Input signal and impulse response
Find: Output signal
Three more methods
Method 1
EITF75 Systems and Signals
Example
Given: Input signal and impulse response
Find: Output signal
Three more methods
Method 1
EITF75 Systems and Signals
Example
Given: Input signal and impulse response
Find: Output signal
Three more methods
Method 1
EITF75 Systems and Signals
Example
Given: Input signal and impulse response
Three more methods
Method 2
Put numbers in a table and multiply
EITF75 Systems and Signals
Example
Given: Input signal and impulse response
Three more methods
Method 2
Put numbers in a table and multiply
EITF75 Systems and Signals
Example
Given: Input signal and impulse response
Three more methods
Method 2
Sum the diagonals
EITF75 Systems and Signals
Example
Given: Input signal and impulse response
Three more methods
Method 2
Result
EITF75 Systems and Signals
Make sure that you understand why a convolution
of a length K signal with a length L signal has length K+L-1
EITF75 Systems and Signals
Example Three more methods
Method 3: Analytical solution
EITF75 Systems and Signals
Standard Properties
Commutativity
Associativity
Distributivity
EITF75 Systems and Signals
Some consequences
Commutativity
Associativity
Distributivity
EITF75 Systems and Signals
Some consequences
Commutativity
Associativity
Distributivity
EITF75 Systems and Signals
Some consequences
Commutativity
Associativity
Distributivity
EITF75 Systems and Signals
BIBO stability
A system is BIBO stable if
EITF75 Systems and Signals
LTI
LTI systems Today we will show that these are
equivalent
For some h(k)
For some a(k), b(k)
We now show this
EITF75 Systems and Signals
Relation to difference equations
EITF75 Systems and Signals
Relation to difference equations
Consider now
We then get
EITF75 Systems and Signals
Relation to difference equations
Consider now
We then get
Pattern recognition, suitably done at home, gives
EITF75 Systems and Signals
LTI
Summary
AN LTI SYSTEM ”A” is equivalent to
A CONVOLUTION WITH IMPULSE RESPONSE ”h(n)” which is equivalent to
A RECURSION EQUATION WITH COEFFICIENTS ”a(k), b(k)”
EITF75 Systems and Signals
Brief info on correlation
Not focal point of course, but highly important in signal processing
Correlation measures similarity between two signals
EITF75 Systems and Signals
Brief info on correlation
Not focal point of course, but highly important in signal processing
Auto correlation
Correlation measures similarity between two signals
Cross correlation
Measures similarity between time shifted
versions of the same signal
Measures similarity between time shifted
versions of different signals
EITF75 Systems and Signals
Brief info on correlation
Not focal point of course, but highly important in signal processing
Auto correlation
Correlation measures similarity between two signals
Cross correlation
Measures similarity between time shifted
versions of the same signal
Measures similarity between time shifted
versions of different signals
Example: 5G communication system
UE1
UE2
When a user (UE) wants to connect,
it sends a known signal, x1(n) or x2(n)
x1(n)
x2(n)
EITF75 Systems and Signals
Brief info on correlation
Not focal point of course, but highly important in signal processing
Auto correlation
Correlation measures similarity between two signals
Cross correlation
Measures similarity between time shifted
versions of the same signal
Measures similarity between time shifted
versions of different signals
Example: 5G communication system
UE1
UE2
When a user (UE) wants to connect,
it sends a known signal, x1(n) or x2(n)
x1(n)
x2(n)
Cross correlation between x1(n) and x2(n) should be small (to know who is connecting)
EITF75 Systems and Signals
Brief info on correlation
Not focal point of course, but highly important in signal processing
Auto correlation
Correlation measures similarity between two signals
Cross correlation
Measures similarity between time shifted
versions of the same signal
Measures similarity between time shifted
versions of different signals
Example: 5G communication system
UE1
UE2
When a user (UE) wants to connect,
it sends a known signal, x1(n) or x2(n)
x1(n)
x2(n)
Auto correlation of x1(n) (and x2(n)) should be delta (to know when a user is connecting)
EITF75 Systems and Signals
Brief info on correlation
Cross correlation for input and output signals
Appendix
LTI
system
A system is LTI if-and-only if:
• It is linear
• It is time-invariant
Method II (not in book, but I find it illuminating)
Input x(n): A sequence of numbers Output y(n): A sequence of numbers
In the Linear algebra course, how did we
represent a sequence of numbers?
EITF75 Systems and Signals
LTI
system
A system is LTI if-and-only if:
• It is linear
• It is time-invariant
Method II (not in book, but I find it illuminating)
Input x(n): A sequence of numbers Output y(n): A sequence of numbers
In the Linear algebra course, how did we
represent a sequence of numbers? With a vector
IN
OUT
EITF75 Systems and Signals
LTI
system
A system is LTI if-and-only if:
• It is linear
• It is time-invariant
Method II (not in book, but I find it illuminating)
Input x(n): A sequence of numbers Output y(n): A sequence of numbers
In the Linear algebra course, how did we
represent a sequence of numbers? With a vector
IN
OUT
Why is the linear algebra course
dealing so much with matrices?
EITF75 Systems and Signals
LTI
system
A system is LTI if-and-only if:
• It is linear
• It is time-invariant
Method II (not in book, but I find it illuminating)
Input x(n): A sequence of numbers Output y(n): A sequence of numbers
In the Linear algebra course, how did we
represent a sequence of numbers? With a vector
IN
OUT
Why is the linear algebra course
dealing so much with matrices?
Because every linear function
can be represented by a matrix
EITF75 Systems and Signals
LTI
system
A system is LTI if-and-only if:
• It is linear
• It is time-invariant
Method II (not in book, but I find it illuminating)
Summary so far: A linear system can be represented as
where
EITF75 Systems and Signals
LTI
system
A system is LTI if-and-only if:
• It is linear
• It is time-invariant
Method II (not in book, but I find it illuminating)
A linear system can be represented as
where
But, our system is LTI, not only linear,
so this imposes restrictions on
i.e., must have a special structure
EITF75 Systems and Signals
LTI
system
A system is LTI if-and-only if:
• It is linear
• It is time-invariant
Method II (not in book, but I find it illuminating)
A linear system can be represented as
Let us understand this special structure
EITF75 Systems and Signals
LTI
system
A system is LTI if-and-only if:
• It is linear
• It is time-invariant
Method II (not in book, but I find it illuminating)
A linear system can be represented as
Let us understand this special structure
Assume
EITF75 Systems and Signals
LTI
system
A system is LTI if-and-only if:
• It is linear
• It is time-invariant
Method II (not in book, but I find it illuminating)
A linear system can be represented as
Let us understand this special structure
Assume
The output must be
the first column of
EITF75 Systems and Signals
LTI
system
A system is LTI if-and-only if:
• It is linear
• It is time-invariant
Method II (not in book, but I find it illuminating)
A linear system can be represented as
Let us understand this special structure
Assume
EITF75 Systems and Signals
LTI
system
A system is LTI if-and-only if:
• It is linear
• It is time-invariant
Method II (not in book, but I find it illuminating)
A linear system can be represented as
Let us understand this special structure
Assume
The output must be
the second column of
EITF75 Systems and Signals
LTI
system
A system is LTI if-and-only if:
• It is linear
• It is time-invariant
Method II (not in book, but I find it illuminating)
Now recall that system
is time-invariant
Implication?
EITF75 Systems and Signals
LTI
system
A system is LTI if-and-only if:
• It is linear
• It is time-invariant
Method II (not in book, but I find it illuminating)
Now recall that system
is time-invariant
Implication?
The outputs should be
The same, but one step
delayed
EITF75 Systems and Signals
LTI
system
A system is LTI if-and-only if:
• It is linear
• It is time-invariant
Method II (not in book, but I find it illuminating)
Now recall that system
is time-invariant
Implication?
The outputs should be
The same, but one step
delayed
i.e.
EITF75 Systems and Signals
LTI
system
A system is LTI if-and-only if:
• It is linear
• It is time-invariant
Method II (not in book, but I find it illuminating)
Now recall that system
is time-invariant
Implication?
The outputs should be
The same, but one step
delayed
i.e. equal values along
all diagonals
EITF75 Systems and Signals
LTI
system
A system is LTI if-and-only if:
• It is linear
• It is time-invariant
Method II (not in book, but I find it illuminating)
Summary. An LTI system is any discrete-time
system that can be described by
Some
vector
Same
vector
Same
vector
Same
vector
Same
vector
Same
vector
EITF75 Systems and Signals
LTI
system
A system is LTI if-and-only if:
• It is linear
• It is time-invariant
Method II (not in book, but I find it illuminating)
Summary. An LTI system is any discrete-time
system that can be described by
Some
vector
Same
vector
Same
vector
Same
vector
Same
vector
Same
vector
Alternative formulation
of course-goal:
Understand properties of
a matrix of the form
Some
vector
Same
vector
Same
vector
Same
vector
Same
vector
Same
vector
EITF75 Systems and Signals
LTI
system
Some
vector
Same
vector
Same
vector
Same
vector
Same
vector
Same
vector
The LTI system is FULLY characterized
by one vector/sequence of numbers/discrete signal

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lecture2eng.pptx

  • 1. EITF75 Systems and Signals Lecture 2 LTI systems: convolutions, impulse responses (and more) Fredrik Rusek
  • 2. EITF75 Systems and Signals system LTI systems A system is LTI if-and-only if: • It is linear • It is time-invariant Linear system Time invariant system
  • 3. EITF75 Systems and Signals LTI LTI systems Today we will show that these are equivalent For some h(k) For some a(k), b(k)
  • 4. EITF75 Systems and Signals LTI LTI systems Today we will show that these are equivalent For some h(k) For some a(k), b(k) We start here Alt method at the end
  • 5. EITF75 Systems and Signals LTI system A system is LTI if-and-only if: • It is linear • It is time-invariant Input signal Output signal
  • 6. EITF75 Systems and Signals Summary LTI Input/Output relation (Convolution) Short-hand notation
  • 7. EITF75 Systems and Signals Agenda Get familiar with through some examples For what do we have BIBO stability? Prove equivalence between and Some notes on correlation functions Next (Today) In the long run (Loosely speaking) Study in detail via z-transform, and 2 types of Fourier transforms The sampling-reconstruction issues
  • 8. EITF75 Systems and Signals Example Given: Input signal and impulse response Find: Output signal ”Home work 1” Verify that causal x(n) and causal h(n) yields causal y(n) ”Home work 2” If x(n) starts at -3, and h(n) at -4. When does y(n) start? ”Home work 3” etc
  • 9. EITF75 Systems and Signals Example Given: Input signal and impulse response Find: Output signal Three more methods Method 1
  • 10. EITF75 Systems and Signals Example Given: Input signal and impulse response Find: Output signal Three more methods Method 1
  • 11. EITF75 Systems and Signals Example Given: Input signal and impulse response Find: Output signal Three more methods Method 1
  • 12. EITF75 Systems and Signals Example Given: Input signal and impulse response Find: Output signal Three more methods Method 1
  • 13. EITF75 Systems and Signals Example Given: Input signal and impulse response Find: Output signal Three more methods Method 1
  • 14. EITF75 Systems and Signals Example Given: Input signal and impulse response Three more methods Method 2 Put numbers in a table and multiply
  • 15. EITF75 Systems and Signals Example Given: Input signal and impulse response Three more methods Method 2 Put numbers in a table and multiply
  • 16. EITF75 Systems and Signals Example Given: Input signal and impulse response Three more methods Method 2 Sum the diagonals
  • 17. EITF75 Systems and Signals Example Given: Input signal and impulse response Three more methods Method 2 Result
  • 18. EITF75 Systems and Signals Make sure that you understand why a convolution of a length K signal with a length L signal has length K+L-1
  • 19. EITF75 Systems and Signals Example Three more methods Method 3: Analytical solution
  • 20. EITF75 Systems and Signals Standard Properties Commutativity Associativity Distributivity
  • 21. EITF75 Systems and Signals Some consequences Commutativity Associativity Distributivity
  • 22. EITF75 Systems and Signals Some consequences Commutativity Associativity Distributivity
  • 23. EITF75 Systems and Signals Some consequences Commutativity Associativity Distributivity
  • 24. EITF75 Systems and Signals BIBO stability A system is BIBO stable if
  • 25. EITF75 Systems and Signals LTI LTI systems Today we will show that these are equivalent For some h(k) For some a(k), b(k) We now show this
  • 26. EITF75 Systems and Signals Relation to difference equations
  • 27. EITF75 Systems and Signals Relation to difference equations Consider now We then get
  • 28. EITF75 Systems and Signals Relation to difference equations Consider now We then get Pattern recognition, suitably done at home, gives
  • 29. EITF75 Systems and Signals LTI Summary AN LTI SYSTEM ”A” is equivalent to A CONVOLUTION WITH IMPULSE RESPONSE ”h(n)” which is equivalent to A RECURSION EQUATION WITH COEFFICIENTS ”a(k), b(k)”
  • 30. EITF75 Systems and Signals Brief info on correlation Not focal point of course, but highly important in signal processing Correlation measures similarity between two signals
  • 31. EITF75 Systems and Signals Brief info on correlation Not focal point of course, but highly important in signal processing Auto correlation Correlation measures similarity between two signals Cross correlation Measures similarity between time shifted versions of the same signal Measures similarity between time shifted versions of different signals
  • 32. EITF75 Systems and Signals Brief info on correlation Not focal point of course, but highly important in signal processing Auto correlation Correlation measures similarity between two signals Cross correlation Measures similarity between time shifted versions of the same signal Measures similarity between time shifted versions of different signals Example: 5G communication system UE1 UE2 When a user (UE) wants to connect, it sends a known signal, x1(n) or x2(n) x1(n) x2(n)
  • 33. EITF75 Systems and Signals Brief info on correlation Not focal point of course, but highly important in signal processing Auto correlation Correlation measures similarity between two signals Cross correlation Measures similarity between time shifted versions of the same signal Measures similarity between time shifted versions of different signals Example: 5G communication system UE1 UE2 When a user (UE) wants to connect, it sends a known signal, x1(n) or x2(n) x1(n) x2(n) Cross correlation between x1(n) and x2(n) should be small (to know who is connecting)
  • 34. EITF75 Systems and Signals Brief info on correlation Not focal point of course, but highly important in signal processing Auto correlation Correlation measures similarity between two signals Cross correlation Measures similarity between time shifted versions of the same signal Measures similarity between time shifted versions of different signals Example: 5G communication system UE1 UE2 When a user (UE) wants to connect, it sends a known signal, x1(n) or x2(n) x1(n) x2(n) Auto correlation of x1(n) (and x2(n)) should be delta (to know when a user is connecting)
  • 35. EITF75 Systems and Signals Brief info on correlation Cross correlation for input and output signals
  • 36. Appendix LTI system A system is LTI if-and-only if: • It is linear • It is time-invariant Method II (not in book, but I find it illuminating) Input x(n): A sequence of numbers Output y(n): A sequence of numbers In the Linear algebra course, how did we represent a sequence of numbers?
  • 37. EITF75 Systems and Signals LTI system A system is LTI if-and-only if: • It is linear • It is time-invariant Method II (not in book, but I find it illuminating) Input x(n): A sequence of numbers Output y(n): A sequence of numbers In the Linear algebra course, how did we represent a sequence of numbers? With a vector IN OUT
  • 38. EITF75 Systems and Signals LTI system A system is LTI if-and-only if: • It is linear • It is time-invariant Method II (not in book, but I find it illuminating) Input x(n): A sequence of numbers Output y(n): A sequence of numbers In the Linear algebra course, how did we represent a sequence of numbers? With a vector IN OUT Why is the linear algebra course dealing so much with matrices?
  • 39. EITF75 Systems and Signals LTI system A system is LTI if-and-only if: • It is linear • It is time-invariant Method II (not in book, but I find it illuminating) Input x(n): A sequence of numbers Output y(n): A sequence of numbers In the Linear algebra course, how did we represent a sequence of numbers? With a vector IN OUT Why is the linear algebra course dealing so much with matrices? Because every linear function can be represented by a matrix
  • 40. EITF75 Systems and Signals LTI system A system is LTI if-and-only if: • It is linear • It is time-invariant Method II (not in book, but I find it illuminating) Summary so far: A linear system can be represented as where
  • 41. EITF75 Systems and Signals LTI system A system is LTI if-and-only if: • It is linear • It is time-invariant Method II (not in book, but I find it illuminating) A linear system can be represented as where But, our system is LTI, not only linear, so this imposes restrictions on i.e., must have a special structure
  • 42. EITF75 Systems and Signals LTI system A system is LTI if-and-only if: • It is linear • It is time-invariant Method II (not in book, but I find it illuminating) A linear system can be represented as Let us understand this special structure
  • 43. EITF75 Systems and Signals LTI system A system is LTI if-and-only if: • It is linear • It is time-invariant Method II (not in book, but I find it illuminating) A linear system can be represented as Let us understand this special structure Assume
  • 44. EITF75 Systems and Signals LTI system A system is LTI if-and-only if: • It is linear • It is time-invariant Method II (not in book, but I find it illuminating) A linear system can be represented as Let us understand this special structure Assume The output must be the first column of
  • 45. EITF75 Systems and Signals LTI system A system is LTI if-and-only if: • It is linear • It is time-invariant Method II (not in book, but I find it illuminating) A linear system can be represented as Let us understand this special structure Assume
  • 46. EITF75 Systems and Signals LTI system A system is LTI if-and-only if: • It is linear • It is time-invariant Method II (not in book, but I find it illuminating) A linear system can be represented as Let us understand this special structure Assume The output must be the second column of
  • 47. EITF75 Systems and Signals LTI system A system is LTI if-and-only if: • It is linear • It is time-invariant Method II (not in book, but I find it illuminating) Now recall that system is time-invariant Implication?
  • 48. EITF75 Systems and Signals LTI system A system is LTI if-and-only if: • It is linear • It is time-invariant Method II (not in book, but I find it illuminating) Now recall that system is time-invariant Implication? The outputs should be The same, but one step delayed
  • 49. EITF75 Systems and Signals LTI system A system is LTI if-and-only if: • It is linear • It is time-invariant Method II (not in book, but I find it illuminating) Now recall that system is time-invariant Implication? The outputs should be The same, but one step delayed i.e.
  • 50. EITF75 Systems and Signals LTI system A system is LTI if-and-only if: • It is linear • It is time-invariant Method II (not in book, but I find it illuminating) Now recall that system is time-invariant Implication? The outputs should be The same, but one step delayed i.e. equal values along all diagonals
  • 51. EITF75 Systems and Signals LTI system A system is LTI if-and-only if: • It is linear • It is time-invariant Method II (not in book, but I find it illuminating) Summary. An LTI system is any discrete-time system that can be described by Some vector Same vector Same vector Same vector Same vector Same vector
  • 52. EITF75 Systems and Signals LTI system A system is LTI if-and-only if: • It is linear • It is time-invariant Method II (not in book, but I find it illuminating) Summary. An LTI system is any discrete-time system that can be described by Some vector Same vector Same vector Same vector Same vector Same vector Alternative formulation of course-goal: Understand properties of a matrix of the form Some vector Same vector Same vector Same vector Same vector Same vector
  • 53. EITF75 Systems and Signals LTI system Some vector Same vector Same vector Same vector Same vector Same vector The LTI system is FULLY characterized by one vector/sequence of numbers/discrete signal