Lecture Digital signal processing: Chapter 6 - Nguyen Thanh Tuan
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Lecture Digital signal processing - Chapter 6 introduce transfer function and digital filter realization. In this chapter, you will learn to: Transfer functions (Impulse response, difference equation, impulse response,...), digital filter realization (Direct form, canonical form, cascade form).
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Lecture Digital signal processing: Chapter 6 - Nguyen Thanh TuanChapter 6Transfer functionand Digital Filter Realization Nguyen Thanh Tuan, Click M.Eng. to edit Master subtitle style Department of Telecommunications (113B3) Ho Chi Minh City University of Technology Email: nttbk97@yahoo.com With the aid of z-transforms, we can describe the FIR and IIR filters in several mathematically equivalent wayDigital Signal Processing 2 Transfer function and Digital Filter Realization Content 1. Transfer functions Impulse response Difference equation Impulse response Frequency response Block diagram of realization 2. Digital filter realization Direct form Canonical form Cascade formDigital Signal Processing 3 Transfer function and Digital Filter Realization 1. Transfer functions Given a transfer functions H(z) one can obtain: (a) the impulse response h(n) (b) the difference equation satisfied the impulse response (c) the I/O difference equation relating the output y(n) to the input x(n). (d) the block diagram realization of the filter (e) the sample-by-sample processing algorithm (f) the pole/zero pattern (g) the frequency response H(w)Digital Signal Processing 4 Transfer function and Digital Filter Realization Impulse response Taking the inverse z-transform of H(z) yields the impulse response h(n) Example: consider the transfer function To obtain the impulse response, we use partial fraction expansion to write Assuming the filter is causal, we findDigital Signal Processing 5 Transfer function and Digital Filter Realization Difference equation for impulse response The standard approach is to eliminate the denominator polynomial of H(z) and then transfer back to the time domain. Example: consider the transfer function Multiplying both sides by denominator, we find Taking inverse z-transform of both sides and using the linearity and delay properties, we obtain the difference equation for h(n):Digital Signal Processing 6 Transfer function and Digital Filter Realization I/O difference equation Write then eliminate the denominators and go back to the time domain. Example: consider the transfer function We have which can write Taking the inverse z-transforms of both sides, we have Thus, the I/O difference equation isDigital Signal Processing 7 Transfer function and Digital Filter Realization Block diagram One the I/O difference equation is determined, one can mechanize it by block diagram Example: consider the transfer function We have the I/O difference equation The direct form realization is given byDigital Signal Processing 8 Transfer function and Digital Filter Realization Sample processing algorithm From the block diagram, we assign internal state variables to all the delays: We define v1(n) to be the content of the x-delay at time n: Similarly, w1(n) is the content of the y-delay at time n:Digital Signal Processing 9 Transfer function and Digital Filter Realization Frequency response and pole/zero pattern Given H(z) whose ROC contains unit circle, the frequency response H(w) can be obtained by replacing z=ejw. Example: Using the identity we obtain an expression for the magnitude response Drawing peaks when passing near poles Drawing dips when passing near zerosDigital Signal Processing 10 ...
Nội dung trích xuất từ tài liệu:
Lecture Digital signal processing: Chapter 6 - Nguyen Thanh TuanChapter 6Transfer functionand Digital Filter Realization Nguyen Thanh Tuan, Click M.Eng. to edit Master subtitle style Department of Telecommunications (113B3) Ho Chi Minh City University of Technology Email: nttbk97@yahoo.com With the aid of z-transforms, we can describe the FIR and IIR filters in several mathematically equivalent wayDigital Signal Processing 2 Transfer function and Digital Filter Realization Content 1. Transfer functions Impulse response Difference equation Impulse response Frequency response Block diagram of realization 2. Digital filter realization Direct form Canonical form Cascade formDigital Signal Processing 3 Transfer function and Digital Filter Realization 1. Transfer functions Given a transfer functions H(z) one can obtain: (a) the impulse response h(n) (b) the difference equation satisfied the impulse response (c) the I/O difference equation relating the output y(n) to the input x(n). (d) the block diagram realization of the filter (e) the sample-by-sample processing algorithm (f) the pole/zero pattern (g) the frequency response H(w)Digital Signal Processing 4 Transfer function and Digital Filter Realization Impulse response Taking the inverse z-transform of H(z) yields the impulse response h(n) Example: consider the transfer function To obtain the impulse response, we use partial fraction expansion to write Assuming the filter is causal, we findDigital Signal Processing 5 Transfer function and Digital Filter Realization Difference equation for impulse response The standard approach is to eliminate the denominator polynomial of H(z) and then transfer back to the time domain. Example: consider the transfer function Multiplying both sides by denominator, we find Taking inverse z-transform of both sides and using the linearity and delay properties, we obtain the difference equation for h(n):Digital Signal Processing 6 Transfer function and Digital Filter Realization I/O difference equation Write then eliminate the denominators and go back to the time domain. Example: consider the transfer function We have which can write Taking the inverse z-transforms of both sides, we have Thus, the I/O difference equation isDigital Signal Processing 7 Transfer function and Digital Filter Realization Block diagram One the I/O difference equation is determined, one can mechanize it by block diagram Example: consider the transfer function We have the I/O difference equation The direct form realization is given byDigital Signal Processing 8 Transfer function and Digital Filter Realization Sample processing algorithm From the block diagram, we assign internal state variables to all the delays: We define v1(n) to be the content of the x-delay at time n: Similarly, w1(n) is the content of the y-delay at time n:Digital Signal Processing 9 Transfer function and Digital Filter Realization Frequency response and pole/zero pattern Given H(z) whose ROC contains unit circle, the frequency response H(w) can be obtained by replacing z=ejw. Example: Using the identity we obtain an expression for the magnitude response Drawing peaks when passing near poles Drawing dips when passing near zerosDigital Signal Processing 10 ...
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