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Chapter 2 Discrete-Time Signals and Systems

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1 Chapter 2 Discrete-Time Signals and Systems
Content The Discrete-Time Signal: Sequence The Discrete-Time System The Discrete-Time Fourier Transform (DTFT) The Symmetric Properties of the DTFT System Function and Frequency Response Copyright © Shi Ping CUC

2 The Discrete-Time Signal: Sequences
Elementary sequences Unit sample sequence Copyright © Shi Ping CUC

3 The Discrete-Time Signal: Sequences
Unit step sequence Copyright © Shi Ping CUC

4 The Discrete-Time Signal: Sequences
Rectangular sequence Copyright © Shi Ping CUC

5 The Discrete-Time Signal: Sequences
Sinusoidal sequence amplitude digital angular frequency phase Copyright © Shi Ping CUC

6 The Discrete-Time Signal: Sequences
Real-valued exponential sequence The is convergent when The is divergent when Copyright © Shi Ping CUC

7 The Discrete-Time Signal: Sequences
Complex-valued exponential sequence Attenuation factor=0,>0,<0时,幅度保持不变,变大,变小。 Attenuation factor Copyright © Shi Ping CUC

8 The Discrete-Time Signal: Sequences
Classification of sequences Finite-length sequence is defined only for a finite time interval: where examples 至少是除z=0和z=无穷的开域(0,无穷)“有限z平面”。 当N1≥0,0<|z|≤无穷, 当N2≤0,0≤|z|<无穷, The length of a finite-length sequence can be increased by zero-padding Copyright © Shi Ping CUC

9 The Discrete-Time Signal: Sequences
Right-sided sequence has zero-valued samples for where If , a right-sided sequence is called a causal sequence 右边序列z变换的收敛域为:Rx_<|z|<“无穷”,Rx_是收敛域的最小半径。对于因果序列,在“无穷”处也收敛。 Copyright © Shi Ping CUC

10 The Discrete-Time Signal: Sequences
Left-sided sequence has zero-valued samples for where If , a left-sided sequence is called a anti-causal sequence 左边序列z变换的收敛域为:0<|z|<Rx+,Rx+是收敛域的最大半径。对于反因果序列,在0处也收敛。 Copyright © Shi Ping CUC

11 The Discrete-Time Signal: Sequences
Two-sided sequence is defined for any n a dual-sided sequence can be seen as the sum of a right-sided sequence and a left-sided sequence. 双边序列的收敛域:Rx_<|z|<Rx+ Copyright © Shi Ping CUC

12 The Discrete-Time Signal: Sequences
Absolutely summable sequence Example: Copyright © Shi Ping CUC

13 The Discrete-Time Signal: Sequences
Square-summable sequence Example: It is square-summable but not absolutely summable Copyright © Shi Ping CUC

14 The Discrete-Time Signal: Sequences
Operations on sequence Time-shifting operation where is an integer delaying operation z-1 Unit delay advance operation z Unit advance Copyright © Shi Ping CUC

15 The Discrete-Time Signal: Sequences
Time-reversal (folding) operation Addition operation Sample-by-sample addition 时间翻褶 Adder Copyright © Shi Ping CUC

16 The Discrete-Time Signal: Sequences
Scaling operation Multiplier A Product (modulation) operation Sample-by-sample multiplication Scaling:缩放比例 modulator Copyright © Shi Ping CUC

17 The Discrete-Time Signal: Sequences
Sample summation Sample production Copyright © Shi Ping CUC

18 The Discrete-Time Signal: Sequences
Sequence energy Sequence power Copyright © Shi Ping CUC

19 The Discrete-Time Signal: Sequences
Decimation by a factor D Every D-th samples of the input sequence are kept and others are removed: Copyright © Shi Ping CUC

20 The Discrete-Time Signal: Sequences
Interpolation by a factor I I -1 equidistant zeros-valued samples are inserted between each two consecutive samples of the input sequence. Copyright © Shi Ping CUC

21 The Discrete-Time Signal: Sequences
The periodicity of sequence if : any integer : positive integer then the is called a periodic sequence, and the value of N is called the fundamental period. 提问:正弦序列是否一定是周期性的,其周期是多少? a periodic sequence is usually expressed as Copyright © Shi Ping CUC

22 The Discrete-Time Signal: Sequences
The periodicity of sinusoidal sequence If , : any integer is a periodic sequence and its period is Copyright © Shi Ping CUC

23 Copyright © 2005. Shi Ping CUC
If is a integer If is a noninteger rational number If is a irrational number is an aperiodic sequence Copyright © Shi Ping CUC

24 The Discrete-Time Signal: Sequences
The periodicity of Complex-valued exponential sequence when , the periodicity of Complex-valued exponential sequence is the same as the sinusoidal sequence Copyright © Shi Ping CUC

25 The Discrete-Time Signal: Sequences
The periodicity of sinusoidal sequence which is developed by uniformly sampling a continuous-time sinusoidal signal Analog angular frequency 连续时间的正弦信号本身具有周期性,对其抽样后所得到的正弦序列的周期与原来的正弦信号的周期有何关系? Sampling period Sampling angular frequency Digital angular frequency Copyright © Shi Ping CUC

26 The Discrete-Time Signal: Sequences
Units: Sampling period : seconds/sample Analog frequency : hertz (Hz) Analog angular frequency : radians/second Digital angular frequency : radians/sample Copyright © Shi Ping CUC

27 The Discrete-Time Signal: Sequences
The periodicity: The period of the continuous-time sinusoidal signal The sampling period If is a rational number, then are positive integers Copyright © Shi Ping CUC

28 The Discrete-Time Signal: Sequences
Sequence synthesis Unit sample synthesis Any arbitrary sequence can be synthesized in the time-domain as a weighted sum of delayed (advanced) and scaled unit sample sequence. 单位取样序列的移位加权和 Copyright © Shi Ping CUC

29 The Discrete-Time Signal: Sequences
Even and odd synthesis Even (symmetric): Odd (antisymmetric): Any arbitrary real-valued sequence can be decomposed into its even and odd component: return Copyright © Shi Ping CUC

30 The Discrete-Time System
Introduction A discrete-time system processes a given input sequence x(n) to generate an output sequence y(n) with more desirable properties. Mathematically, an operation T [ • ] is used. y(n) = T [ x(n) ] x(n): excitation, input signal y(n): response, output signal example example Copyright © Shi Ping CUC

31 The Discrete-Time System
Classification Linear System Time-Invariant (Shift-Invariant) System Linear Time-Invariant (LTI) System Causal System Stable System Copyright © Shi Ping CUC

32 The Discrete-Time System
Linear System A system is called linear if it has two mathematical properties: homogeneity and additivity. Accumulator Copyright © Shi Ping CUC

33 The Discrete-Time System
Time-Invariant (Shift-Invariant) System Accumulator Copyright © Shi Ping CUC

34 The Discrete-Time System
Linear Time-Invariant (LTI) System A system satisfying both the linearity and the time-invariance properties is called an LTI system. LTI systems are mathematically easy to analyze and characterize, and consequently, easy to design. A accumulator is an LTI system ! Copyright © Shi Ping CUC

35 The Discrete-Time System
The output of an LTI system is called linear convolution sum An LTI system is completely characterized in the time domain by the impulse response h(n). example Copyright © Shi Ping CUC

36 The Discrete-Time System
Causal System In a causal system, the -th output sample depends only on input samples for and does not depend on input samples for e.g. 如y(n)=x(n+1)即为非因果系统 For a causal system, changes in output samples do not precede changes in the input samples. Copyright © Shi Ping CUC

37 The Discrete-Time System
An LTI system will be a causal system if and only if : An ideal low-pass filter is not a causal system ! A sequence is called a causal sequence if : Copyright © Shi Ping CUC

38 The Discrete-Time System
Stable System A system is said to be bounded-input bounded-output (BIBO) stable if every bounded input produces a bounded output, i.e. An LTI system will be a stable system if and only if : Copyright © Shi Ping CUC

39 The Discrete-Time System
The M-point moving average filter is BIBO stable : prove A causal LTI discrete-time system: 证明参见Ch2(3)P5 以及Ch2(2)P28 prove Copyright © Shi Ping CUC

40 The Discrete-Time System
Causal and Stable System A system is said to be a causal and stable system if the impulse response is causal and absolutely summable , i.e. return Copyright © Shi Ping CUC

41 The Discrete-time Fourier Transform (DTFT)
The transform-domain representation of discrete-time signal Discrete-Time Fourier Transorm (DTFT) Discrete-Fourier Transform (DFT) z-Transform Copyright © Shi Ping CUC

42 The Discrete-time Fourier Transform (DTFT)
The definition of DTFT DTFT: IDTFT: 在黑板上推导反变换公式 在黑板上推导X(ejw)的收敛问题 Existence condition: Copyright © Shi Ping CUC

43 The Discrete-time Fourier Transform (DTFT)
The comparison of vs. Time domain Frequency domain discrete continuous Real valued Complex-valued Summation integral Copyright © Shi Ping CUC

44 The Discrete-time Fourier Transform (DTFT)
About It is a periodic function of with a period of The range of The integral range of It can be expressed as X(ejw)也可以表示成实部和虚部。 magnitude function phase function and are all real function of example Copyright © Shi Ping CUC

45 The Discrete-time Fourier Transform (DTFT)
DTFT vs. z Transform Copyright © Shi Ping CUC

46 The Discrete-time Fourier Transform (DTFT)
The general properties of DTFT Linearity The DTFT is a linear transformation Time shifting A shift in the time domain corresponds to the phase shifting Copyright © Shi Ping CUC

47 The Discrete-time Fourier Transform (DTFT)
Frequency shifting Multiplication by a complex exponential corresponds to a shift in the frequency domain Convolution Convolution in time domain corresponds to multiplication in frequency domain Copyright © Shi Ping CUC

48 The Discrete-time Fourier Transform (DTFT)
Multiplication Energy (Parseval’s Theorem) energy density spectrum Copyright © Shi Ping CUC

49 The Discrete-time Fourier Transform (DTFT)
Multiplied by an exponential sequence Sequence weighting Copyright © Shi Ping CUC

50 The Discrete-time Fourier Transform (DTFT)
Conjugation Conjugation in the time domain corresponds to the folding and conjugation in the frequency domain Folding Folding in the time domain corresponds to the folding in the frequency domain Conjugation and Folding Conjugation and folding in the time domain corresponds to the conjugation in the frequency domain return Copyright © Shi Ping CUC

51 The symmetric properties of the DTFT
Conjugate symmetry of Conjugate symmetric sequence: For real-valued sequence, it is even symmetric: Conjugate antisymmetric sequence: 证明:如果是共轭对称序列,则其实部偶对称,虚部奇对称 For real-valued sequence, it is odd symmetric: Copyright © Shi Ping CUC

52 The symmetric properties of the DTFT
Any arbitrary sequence can be expressed as the sum of a conjugate symmetric sequence and a conjugate antisymmetric sequence Copyright © Shi Ping CUC

53 The symmetric properties of the DTFT
Conjugate symmetry of The can be expressed as the sum of the conjugate symmetric component and the conjugate antisymmetric component Copyright © Shi Ping CUC

54 The symmetric properties of the DTFT
conjugate symmetric For real-valued function, it is even symmetric conjugate antisymmetric For real-valued function, it is odd symmetric Copyright © Shi Ping CUC

55 The symmetric properties of the DTFT
Implication: If the sequence is real and even, then is also real and even. Copyright © Shi Ping CUC

56 The symmetric properties of the DTFT
If the sequence x(n) is real, then example Copyright © Shi Ping CUC

57 The symmetric properties of the DTFT
The DTFT of periodic sequences The DTFT of complex-valued exponential sequences Copyright © Shi Ping CUC

58 The symmetric properties of the DTFT
The DTFT of constant-value sequences Copyright © Shi Ping CUC

59 The symmetric properties of the DTFT
The DTFT of unit sample sequences Copyright © Shi Ping CUC

60 The symmetric properties of the DTFT
The DTFT of general periodic sequences return Copyright © Shi Ping CUC

61 System Function and Frequency Response
The representation of a LTI system Impulse response Difference equation System function 这里指的是离散时间LTI系统 Copyright © Shi Ping CUC

62 System Function and Frequency Response
System function (Transfer function) The z-transform of the impulse response h(n) of the LTI system is called system function or transfer function Copyright © Shi Ping CUC

63 System Function and Frequency Response
The region of convergence (ROC) for H(z) An LTI system is stable if and only if the unit circle is in the ROC of H(z) An LTI system is causal if and only if the ROC of H(z) is An LTI system is both stable and causal if and only if the H(z) has all its poles inside the unit circle, i.e. the ROC of H(z) is Copyright © Shi Ping CUC

64 System Function and Frequency Response
System function vs. difference equation difference equation take z-transform for both sides Copyright © Shi Ping CUC

65 System Function and Frequency Response
Frequency response of an LTI system The DTFT of an impulse response is called the frequency response of an LTI system, i.e. 注意,h(n)为实数序列。因此H(exp(jw))为共轭偶对程,即幅度偶对称,相位奇对称。 example magnitude response function example phase response function Copyright © Shi Ping CUC

66 System Function and Frequency Response
Group delays In general, the frequency response is a complex function of 介绍群延时的含义 is a continuous function of is a periodic function of , the period is Copyright © Shi Ping CUC

67 System Function and Frequency Response
Response to exponential sequence The output sequence is the input exponential sequence modified by the response of the system at frequency ejw0n 称为系统的特征函数 H(ejw0)称为特征值(即:系统在w0处的频率响应) Copyright © Shi Ping CUC

68 System Function and Frequency Response
Response to sinusoidal sequences Copyright © Shi Ping CUC

69 System Function and Frequency Response
Response to arbitrary sequences Copyright © Shi Ping CUC

70 System Function and Frequency Response
Geometric interpretation of frequency response 这一部分内容可演示pez from dspfirst. Copyright © Shi Ping CUC

71 System Function and Frequency Response
is a real number Copyright © Shi Ping CUC

72 System Function and Frequency Response
K有可能是负数,因此需要表示成模和相角的形式。 zero vector pole vector Copyright © Shi Ping CUC

73 System Function and Frequency Response
zero vector pole vector Copyright © Shi Ping CUC

74 System Function and Frequency Response
Copyright © Shi Ping CUC

75 System Function and Frequency Response
An approximate plot of the magnitude and phase responses of the system function of an LTI system can be developed by examining the pole and zero locations To highly attenuate signal components in a specified frequency range, we need to place zeros very close to or on the unit circle in this range To highly emphasize signal components in a specified frequency range, we need to place poles very close to or on the unit circle in this range Copyright © Shi Ping CUC

76 System Function and Frequency Response
Copyright © Shi Ping CUC

77 System Function and Frequency Response
Minimum-Phase and Maximum-Phase system the number of zeros inside the unit circle the number of zeros outside the unit circle the number of poles inside the unit circle the number of poles outside the unit circle Copyright © Shi Ping CUC

78 Copyright © 2005. Shi Ping CUC
A causal stable system A causal stable system with all zeros inside the unit circle is called a minimum-phase delayed system 当omiga变化2pi时,单位圆内的零矢量或极矢量的相位也变化2pi;而单位圆外的零矢量或极矢量的相位变化量为0。 A causal stable system with all zeros outside the unit circle is called a maximum-phase delayed system Copyright © Shi Ping CUC

79 Copyright © 2005. Shi Ping CUC
An anti-causal stable system An anti-causal stable system with all zeros inside the unit circle is called a maximum-phase advanced system An anti-causal stable system with all zeros outside the unit circle is called a minimum-phase advanced system Copyright © Shi Ping CUC

80 System Function and Frequency Response
Important properties of minimum-phase delayed system minimum-phase delayed system is often called minimum-phase system for short. It plays an important role in telecommunications Any nonminimum-phase system can be expressed as the product of a minimum-phase system function and a stable all-pass system For all systems with the identical 当h(n)和hmin(n)都是N点序列时,当其总能量相同时,最小相位系统的能量更集中在n=0附近。 根据Pasvel定理,当两个序列的|H(ejw)|相同时,说明其频域能量相同,因而其时域能量也相同。所以上面的第一个式子是成立的。 Copyright © Shi Ping CUC

81 System Function and Frequency Response
All-pass system Definition A system that has a constant magnitude response for all frequencies, that is, The simplest example of an all-pass system is a pure delay system with system function This system passes all signals without modification except for a delay of k samples. Copyright © Shi Ping CUC

82 System Function and Frequency Response
1-th order all-pass system 在黑板上画全通系统的零极点镜像对称关系 Copyright © Shi Ping CUC

83 System Function and Frequency Response
An alternative form of 1-th order all-pass system 先取共轭再求倒数=先求倒数再取共轭 Mirror image symmetry with respect to the unit circle Copyright © Shi Ping CUC

84 System Function and Frequency Response
2-th order all-pass system 选择两个零点(两个极点)互为共轭是为了保证多项式系数为实数。 example Copyright © Shi Ping CUC

85 System Function and Frequency Response
example Copyright © Shi Ping CUC

86 System Function and Frequency Response
N-th order all-pass system 因为D(z)的系数为实数,可看成是实序列的z变换,因此其频响共轭翻转。教材P73 表中No.16 Copyright © Shi Ping CUC

87 System Function and Frequency Response
An alternative form for N-th order all-pass system The number of real poles and zeros The number of complex-conjugate pair of poles and zeros For causal and stable system Copyright © Shi Ping CUC

88 System Function and Frequency Response
Application Phase equalizers When placed in cascade with a system that has an undesired phase response, a phase equalizer is designed to compensate for the poor phase characteristics of the system and therefore to produce an overall linear-phase response. Copyright © Shi Ping CUC

89 System Function and Frequency Response
Group delays Copyright © Shi Ping CUC

90 System Function and Frequency Response
Any causal-stable nonminimum-phase system can be expressed as the product of a minimum-phase delayed system cascaded with a stable all-pass system example a minimum-phase system a pair of conjugate zeros outside the unit circle Copyright © Shi Ping CUC

91 Copyright © 2005. Shi Ping CUC
is a minimum-phase system is a 2-th all-pass system Copyright © Shi Ping CUC

92 System Function and Frequency Response
By cascading an all-pass system an unstable system can be made stable without changing its magnitude response example 这里指的是因果稳定系统 unstable system stable system Copyright © Shi Ping CUC

93 System Function and Frequency Response
Relationships between system representations Difference Equation Express H(z) in z-1 cross multiply and take inverse Inverse ZT ZT take ZT solve for Y/X 虚线表示系统要稳定. substitute Inverse DTFT DTFT Take DTFT solve for Y/X return Copyright © Shi Ping CUC

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96 Copyright © 2005. Shi Ping CUC
Rectangular sequence return Copyright © Shi Ping CUC

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return Copyright © Shi Ping CUC

98 Real-valued exponential sequence
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99 Complex-valued exponential sequence
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106 Time-shifting operation
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folding operation return Copyright © Shi Ping CUC

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addition operation return Copyright © Shi Ping CUC

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modulation operation return Copyright © Shi Ping CUC

110 Copyright © 2005. Shi Ping CUC
periodic sequence return Copyright © Shi Ping CUC

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Periodicity of sequence return Copyright © Shi Ping CUC

112 Periodicity of sequence 2
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115 Copyright © 2005. Shi Ping CUC
Accumulator The output at time instant n is the sum of the input sample at time instant n and the previous output at time instant n-1, which is the sum of all previous input sample values from to n-1 The input-output relation can also be written in the form: This form is used for a causal input sequence, in which case y(-1) is called the initial condition return Copyright © Shi Ping CUC

116 Copyright © 2005. Shi Ping CUC
M-point moving-average system An application: consider Where is the signal, and is a random noise return Copyright © Shi Ping CUC

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return Copyright © Shi Ping CUC

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Accumulator Hence, the above system is linear return Copyright © Shi Ping CUC

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Accumulator Hence, the above system is time-invariant return Copyright © Shi Ping CUC

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return Copyright © Shi Ping CUC

121 Copyright © 2005. Shi Ping CUC
The M-point moving average filter For a bounded input , we have Hence, the M-point moving average filter is BIBO stable return Copyright © Shi Ping CUC

122 Copyright © 2005. Shi Ping CUC
A causal LTI discrete-time system return Copyright © Shi Ping CUC

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Mirror image symmetry return Copyright © Shi Ping CUC

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