101-2 ss07 samplingcc.ee.ntu.edu.tw/~fengli/teaching/signalssystems/... · spring 2013...
TRANSCRIPT
Spring 2013
信號與系統Signals and Systems
Chapter SS-7Sampling
Feng-Li LianNTU-EE
Feb13 – Jun13
Figures and images used in these lecture notes are adopted from“Signals & Systems” by Alan V. Oppenheim and Alan S. Willsky, 1997
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-2
Periodic Aperiodic
FS CTDT
(Chap 3)FT
DT
CT (Chap 4)
(Chap 5)
Bounded/Convergent
LTzT DT
Time-Frequency
(Chap 9)
(Chap 10)
Unbounded/Non-convergent
CT
CT-DT
Communication
Control
(Chap 6)
(Chap 7)
(Chap 8)
(Chap 11)
Introduction LTI & Convolution(Chap 1) (Chap 2)
Flowchart
DigitalSignalProcessing
(dsp-8)
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-3Fourier Series, Fourier Transform, Laplace Transform, z-Transform
CT DT
FS
FT
LT/zT
time frequency time frequency
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-4Outline
Representation of a Continuous-Time Signal by its Samples: The Sampling Theorem
Reconstruction of a Signal from its Samples Using Interpolation
The Effect of Under-sampling: Aliasing
Discrete-Time Processing of Continuous-Time Signals
Sampling of Discrete-Time Signals
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-5The Sampling Theorem
Representation of CT Signals by its Samples
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-6The Sampling Theorem
Representation of CT Signals by its Samples
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-7The Sampling Theorem
Representation of CT Signals by its Samples
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-8The Sampling Theorem
Representation of CT Signals by its Samples
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-9The Sampling Theorem
Impulse-Train Sampling:
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-10The Sampling Theorem
Impulse-Train Sampling:
Ex 4.8, pp. 299-300
Eq 4.70, p. 322
Ex 4.21, p. 323
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-11The Sampling Theorem
Impulse-Train Sampling:Ex 4.21, 4.22, pp. 323-4
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-12The Sampling Theorem
The Sampling Theorem:
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-13The Sampling Theorem
Exact Recovery by an Ideal Lowpass Filter:
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-14The Sampling Theorem
Exact Recovery by an Ideal Lowpass Filter:
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-15The Sampling Theorem
Sampling with Zero-Order Hold:
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-16The Sampling Theorem
Sampling with Zero-Order Hold:
Ex 4.4, p. 293
Eq 4.27, p. 301
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-17The Sampling Theorem
With Ideal Lowpass Filter & with Zero-Order Hold:
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-18The Sampling Theorem
Sampling with Zero-Order Hold:
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-19Outline
Representation of a Continuous-Time Signal by its Samples: The Sampling Theorem
Reconstruction of a Signal from its Samples Using Interpolation
The Effect of Under-sampling: Aliasing
Discrete-Time Processing of Continuous-Time Signals
Sampling of Discrete-Time Signals
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-20Reconstruction of a Signal from its Samples Using Interpolation
Exact Interpolation:
Ex 2.11, p. 110
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-21Reconstruction of a Signal from its Samples Using Interpolation
Exact Interpolation:
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-22Reconstruction of a Signal from its Samples Using Interpolation
0 2 4 6 8 10 12 14 16 18
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-8 -6 -4 -2 0 2 4 6 8-0.5
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0 0.5 1 1.5 2 2.5 3
x 104
-1.5
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x 104
-1.5
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Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-23Reconstruction of a Signal from its Samples Using Interpolation
Ideal Interpolating Filter & The Zero-Order Hold:
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-24Reconstruction of a Signal from its Samples Using Interpolation
Sampling & Interpolation of Images:
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-25Reconstruction of a Signal from its Samples Using Interpolation
Higher-Order Holds:
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-26Reconstruction of a Signal from its Samples Using Interpolation
Higher-Order Holds:
= *
=
Ex 4.4, p. 293
X
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-27Reconstruction of a Signal from its Samples Using Interpolation
First-Order Hold on Image Processing:
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-28
Reconstruction of a Signal from its Samples Using Interpolation
Three Filters: Ideal Lowpass, Zero-Order, First-Order
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-29Outline
Representation of a Continuous-Time Signal by its Samples: The Sampling Theorem
Reconstruction of a Signal from its Samples Using Interpolation
The Effect of Under-sampling: Aliasing
Discrete-Time Processing of Continuous-Time Signals
Sampling of Discrete-Time Signals
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-30Effect of Under-sampling: Aliasing
Overlapping in Frequency-Domain: Aliasing
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-31Effect of Under-sampling: Aliasing
Overlapping in Frequency-Domain: Aliasing
0 2 4 6 8 1 0 1 2 1 4 1 6 1 8- 1 . 5
- 1
- 0 . 5
0
0 . 5
1
1 . 5
0 2 4 6 8 1 0 1 2 1 4 1 6 1 8- 1 . 5
- 1
- 0 . 5
0
0 . 5
1
1 . 5
0 2 4 6 8 1 0 1 2 1 4 1 6 1 8- 1 . 5
- 1
- 0 . 5
0
0 . 5
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1 . 5
0 2 4 6 8 1 0 1 2 1 4 1 6 1 8- 1 . 5
- 1
- 0 . 5
0
0 . 5
1
1 . 5
0 2 4 6 8 1 0 1 2 1 4 1 6 1 8- 1 . 5
- 1
- 0 . 5
0
0 . 5
1
1 . 5
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-32Effect of Under-sampling: Aliasing
Overlapping in Frequency-Domain: Aliasing
0 2 4 6 8 1 0 1 2 1 4 1 6 1 8- 1 . 5
- 1
- 0 . 5
0
0 . 5
1
1 . 5
0 2 4 6 8 1 0 1 2 1 4 1 6 1 8- 1 . 5
- 1
- 0 . 5
0
0 . 5
1
1 . 5
0 2 4 6 8 1 0 1 2 1 4 1 6 1 8- 1 . 5
- 1
- 0 . 5
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0 . 5
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1 . 5
0 2 4 6 8 1 0 1 2 1 4 1 6 1 8- 1 . 5
- 1
- 0 . 5
0
0 . 5
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1 . 5
0 2 4 6 8 1 0 1 2 1 4 1 6 1 8- 1 . 5
- 1
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0
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1
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0 2 4 6 8 1 0 1 2 1 4 1 6 1 8- 1 . 5
- 1
- 0 . 5
0
0 . 5
1
1 . 5
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-33Effect of Under-sampling: Aliasing
Overlapping in Frequency-Domain: Aliasing
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-34Effect of Under-sampling: Aliasing
Overlapping in Frequency-Domain: Aliasing
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-35Effect of Under-sampling: Aliasing
Overlapping in Frequency-Domain: Aliasing
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-36Effect of Under-sampling: Aliasing
Overlapping in Frequency-Domain: Aliasing
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-37Effect of Under-sampling: Aliasing
Overlapping in Frequency-Domain: Aliasing
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-38Effect of Under-sampling: Aliasing
Overlapping in Frequency-Domain: Aliasing
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-39Effect of Under-sampling: Aliasing
Strobe Effect:
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-40Outline
Representation of a Continuous-Time Signal by its Samples: The Sampling Theorem
Reconstruction of a Signal from its Samples Using Interpolation
The Effect of Under-sampling: Aliasing
Discrete-Time Processingof Continuous-Time Signals
Sampling of Discrete-Time Signals
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-41Discrete-Time Processing of Continuous-Time Signals
Discrete-Time Processing of CT Signals:
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-42Discrete-Time Processing of Continuous-Time Signals
C/D or A-to-D (ADC) and D/C or D-to-A (DAC):
C/D: continuous-to-discrete-timeconversion
A-to-D: analog-to-digital converter
D/C: discrete-to-continuous-timeconversion
D-to-A: digital-to-analog converter
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-43Discrete-Time Processing of Continuous-Time Signals
C/D Conversion:
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-44Discrete-Time Processing of Continuous-Time Signals
C/D Conversion:
Table 4.2, p. 329
Eq 7.3, 7.6, p. 517
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-45Discrete-Time Processing of Continuous-Time Signals
C/D Conversion:
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-46Discrete-Time Processing of Continuous-Time Signals
C/D Conversion:
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-47Discrete-Time Processing of Continuous-Time Signals
D/C Conversion:
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-48Discrete-Time Processing of Continuous-Time Signals
Overall System:
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-49Discrete-Time Processing of Continuous-Time Signals
Frequency-Domain Illustration:1
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-50Discrete-Time Processing of Continuous-Time Signals
CT & DT Frequency Responses:
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-51Discrete-Time Processing of Continuous-Time Signals
Frequency-Domain Illustration:
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-52Discrete-Time Processing of Continuous-Time Signals
Digital Differentiator:(band-limited)
Ex 4.16, p. 317
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-53Discrete-Time Processing of Continuous-Time Signals
Delay:(band-limited)
Ex 4.15, p. 317
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-54Outline
Representation of a Continuous-Time Signal by its Samples: The Sampling Theorem
Reconstruction of a Signal from its Samples Using Interpolation
The Effect of Under-sampling: Aliasing
Discrete-Time Processing of Continuous-Time Signals
Sampling of Discrete-Time Signals
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-55Sampling of Discrete-Time Signals
Impulse-Train Sampling:
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-56Sampling of Discrete-Time Signals
Impulse-Train Sampling:
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-57Sampling of Discrete-Time Signals
Exact Recovery Using Ideal Lowpass Filter:
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-58Sampling of Discrete-Time Signals
DT Decimation & Interpolation: Down-samplingEq 5.45, p. 378: Time expansion
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-59Sampling of Discrete-Time Signals
Higher Equivalent Sampling Rate: Up-sampling
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-60Sampling of Discrete-Time Signals
Down-sampling+ Up-sampling:
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-61In Summary Feng-Li Lian © 2013Feng-Li Lian © 2013
NTUEE-SS7-Sampling-62In Summary
Discrete-Time Processing of CT Signals
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-63Chapter 7: Sampling
Representation of of a CT Signal by Its Samples: • The Sampling Theorem
Reconstruction of of a Signal from Its Samples • Using exact interpolation• Using zero-order hold• Using higher-order hold
The Effect of Under-sampling• Overlapping in Frequency-Domain• Aliasing
DT Processing of CT SignalsSampling of Discrete-Time Signals
• Down-sampling• Up-sampling
Feng-Li Lian © 2013Feng-Li Lian © 2013NTUEE-SS7-Sampling-64
Periodic Aperiodic
FS CTDT
(Chap 3)FT
DT
CT (Chap 4)
(Chap 5)
Bounded/Convergent
LTzT DT
Time-Frequency
(Chap 9)
(Chap 10)
Unbounded/Non-convergent
CT
CT-DT
Communication
Control
(Chap 6)
(Chap 7)
(Chap 8)
(Chap 11)
Introduction LTI & Convolution(Chap 1) (Chap 2)
Flowchart
DigitalSignalProcessing
(dsp-8)