The document discusses the z-transform, which is useful for analyzing discrete-time signals and systems. It defines the z-transform as the sum of a discrete-time signal multiplied by z-n, where z is a complex variable. The region of convergence for a z-transform consists of the values of z where this sum converges. The z-transform has properties like linearity, time shifting, and convolution that allow discrete-time signals and systems to be analyzed in the complex z-domain. Key topics covered include the definition of the z-transform, properties like region of convergence and poles/zeros, and properties like linearity, time shifting, and the convolution theorem.
The z-Transform is often time more convenient to use
Definition:
Compare to DTFT definition:
z is a complex variable that can be represented as z=r ej
Substituting z=ej will reduce the z-transform to DTFT
Region of Convergence for a discrete time signal x[n] is defined as a continuous region in z plane where the Z-Transform converges.
The roots of the equation P(z) = 0 correspond to the ’zeros’ of X(z)
The roots of the equation Q(z) = 0 correspond to the ’poles’ of X(z)
The RoC of the Z-transform depends on the convergence of the polynomials P(z) and Q(z),
Uses to analysis of digital filters.
Used to simulate the continuous systems.
Analyze the linear discrete system.
Used to finding frequency response.
The z-Transform is often time more convenient to use
Definition:
Compare to DTFT definition:
z is a complex variable that can be represented as z=r ej
Substituting z=ej will reduce the z-transform to DTFT
Region of Convergence for a discrete time signal x[n] is defined as a continuous region in z plane where the Z-Transform converges.
The roots of the equation P(z) = 0 correspond to the ’zeros’ of X(z)
The roots of the equation Q(z) = 0 correspond to the ’poles’ of X(z)
The RoC of the Z-transform depends on the convergence of the polynomials P(z) and Q(z),
Uses to analysis of digital filters.
Used to simulate the continuous systems.
Analyze the linear discrete system.
Used to finding frequency response.
Z Transform And Inverse Z Transform - Signal And SystemsMr. RahüL YøGi
The z-transform is the most general concept for the transformation of discrete-time series.
The Laplace transform is the more general concept for the transformation of continuous time processes.
For example, the Laplace transform allows you to transform a differential equation, and its corresponding initial and boundary value problems, into a space in which the equation can be solved by ordinary algebra.
The switching of spaces to transform calculus problems into algebraic operations on transforms is called operational calculus. The Laplace and z transforms are the most important methods for this purpose.
z-Transform is for the analysis and synthesis of discrete-time control systems.The z transform in discrete-time systems play a similar role as the Laplace transform in continuous-time systems
EE8591 Digital Signal Processing :
UNIT II DISCRETE TIME SYSTEM ANALYSIS
Z-transform and its properties, inverse z-transforms; difference equation – Solution by ztransform,
application to discrete systems - Stability analysis, frequency response –Convolution – Discrete Time Fourier transform , magnitude and phase representation
Z Transform And Inverse Z Transform - Signal And SystemsMr. RahüL YøGi
The z-transform is the most general concept for the transformation of discrete-time series.
The Laplace transform is the more general concept for the transformation of continuous time processes.
For example, the Laplace transform allows you to transform a differential equation, and its corresponding initial and boundary value problems, into a space in which the equation can be solved by ordinary algebra.
The switching of spaces to transform calculus problems into algebraic operations on transforms is called operational calculus. The Laplace and z transforms are the most important methods for this purpose.
z-Transform is for the analysis and synthesis of discrete-time control systems.The z transform in discrete-time systems play a similar role as the Laplace transform in continuous-time systems
EE8591 Digital Signal Processing :
UNIT II DISCRETE TIME SYSTEM ANALYSIS
Z-transform and its properties, inverse z-transforms; difference equation – Solution by ztransform,
application to discrete systems - Stability analysis, frequency response –Convolution – Discrete Time Fourier transform , magnitude and phase representation
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Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
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About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
2. THE Z-TRANSFORM:
INTRODUCTION
Why z-Transform?
1. Many of signals (such as x(n)=u(n), x(n) = (0.5)n
u(-n),
x(n) = sin(nω) etc. ) do not have a DTFT.
2. Advantages like Fourier transform provided:
Solution process reduces to a simple algebraic procedures
The temporal domain sequence output y(n) = x(n)*h(n) can
be represent as Y(z)= X(z)H(z)
Properties of systems can easily be studied and
characterized in z – domain (such as stability..)
Topics:
Definition of z –Transform
Properties of z- Transform
Inverse z- Transform
3. DEFINITION OFTHE Z-TRANSFORM
1. Definition:The z-transform of a discrete-time signal x(n) is defined by
where z = rejw
is a complex variable.The values of z for which the sum
converges define a region in the z-plane referred to as the region of
convergence (ROC).
2. Notationally, if x(n) has a z-transform X(z), we write
3. The z-transform may be viewed as the DTFT or an exponentially weighted
sequence. Specifically, note that with z = rejw
, X(z) can be looked as the DTFT
of the sequence r--n
x(n) and ROC is determined by the range of values of r of
the following right inequation.
4. ROC & Z-PLANE
Complex z-plane
z = Re(z)+jIm(z) = rejw
Zeros and poles of X(z)
Many signals have z-transforms that are rational
function of z:
Factorizing it will give:
The roots of the numerator polynomial, βk,are referred to
as the zeros (o) and αkare referred to as poles (x). ROC
of X(z) will not contain poles.
5. ROC PROPERTIES
ROC is an annulus or disc in the z-plane centred at the origin.
i.e.
A finite-length sequence has a z-transform with a region of
convergence that includes the entire z-plane except, possibly,
z = 0 and z = .The point z = will be included if x(n) = 0 for n < 0,
and the point z = 0 will be included if x(n) = 0 for n > 0.
A right-sided sequence has a z-transform with a region of
convergence that is the exterior of a circle:
ROC: |z|>α
A left-sided sequence has a z-transform with a region of
convergence that is the interior of a circle:
ROC: |z|<β
The FourierTransform of x(n) converges absolutely if and only
if ROC of z-transform includes the unit circle
6.
7.
8.
9.
10.
11.
12.
13. PROPERTIES OF Z-TRANSFORM
Linearity
If x(n) has a z-transform X(z) with a region of convergence Rx, and if
y(n) has a z-transform Y(z) with a region of convergence Ry,
and the ROC of W(z) will include the intersection of Rx and Ry, that
is, Rw contains .
Shifting property
If x(n) has a z-transform X(z),
Time reversal
If x(n) has a z-transform X(z) with a region of convergence Rx that is
the annulus , the z-transform of the time-reversed sequence
x(-n) is
and has a region of convergence , which is denoted by
)()()()()()( zbYzaXzWnbynaxnw Z
+=→←+=
yx RR
)()( 0
0 zXznnx nZ −
→←−
βα << z
)()( 1−
→←− zXnx Z
αβ 11 << z
xR1
14. PROPERTIES OF Z-TRANSFORM
Multiplication by an exponential
If a sequence x(n) is multiplied by a complex exponential αn
.
Convolution theorm
If x(n) has a z-transform X(z) with a region of convergence Rx, and if h(n)
has a z-transform H(z) with a region of convergence Rh,
The ROC of Y(z) will include the intersection of Rx and Rh, that is,
Ry contains Rx R∩ h .
With x(n), y(n), and h(n) denoting the input, output, and unit-sample
response, respectively, and X(z), Y(x), and H(z) their z-transforms. The z-
transform of the unit-sample response is often referred to as the system
function.
Conjugation
If X(z) is the z-transform of x(n), the z-transform of the complex conjugate
of x(n) is
)()( 1
zXnx Zn −
→← αα
)()()()()()( zHzXzYnhnxny Z
=→←∗=
)()( ∗∗∗
→← zXnx Z
15. PROPERTIES OF Z-TRANSFORM
Derivative
If X(z) is the z-transform of x(n), the z-transform of is
Initial value theorem
If X(z) is the z-transform of x(n) and x(n) is equal to zero for
n<0, the initial value, x(0), maybe be found from X(z) as
follows:
dz
zdX
znnx Z )(
)( −→←
)(lim)0( zXx
z ∞→
=