Question

Compare the location of the poles and zeros and the frequency response of the scaled version of $H(z)$ to those for the original filter.

   Compare the location of the poles and zeros and the frequency response of the scaled version of $H(z)$ to those for the original filter. 
 
Digital Signal Processing. Principles, Algorithms and System Design
Digital Signal Processing. Principles, Algorithms and System Design
Winser Alexander and… 1st Edition
Chapter 6, Problem 6 ↓

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Scaling the filter means multiplying the transfer function $H(z)$ by a constant factor. Let's call this factor $k$. So the scaled version of $H(z)$ is $kH(z)$.  Show more…

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Compare the location of the poles and zeros and the frequency response of the scaled version of $H(z)$ to those for the original filter.
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Key Concepts

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Poles and Zeros in the Z-Domain
In digital filter design, the poles and zeros of the transfer function H(z) play a crucial role in determining the filter's stability and frequency characteristics. Poles indicate the natural resonances and potential instability, while zeros provide control over frequency attenuation and the formation of nulls in the frequency response. Their locations in the z-plane directly influence the shape and selective properties of the filter response.
Frequency Response of Digital Filters
The frequency response of a digital filter is obtained by evaluating its transfer function on the unit circle (i.e., setting z = e^(j?)). This response describes how the filter processes different frequency components of a signal, including amplitude and phase shifts. Analyzing the frequency response enables engineers to assess whether the filter meets specified performance criteria such as passband ripple, stopband attenuation, and phase linearity.
Scaling in the Z-Domain
Scaling a digital filter typically refers to modifying the filter's transfer function by scaling its argument or coefficients, which in turn alters the positions of its poles and zeros in the z-plane. This transformation impacts how the frequency components are mapped to the output, often leading to changes in the filter’s frequency response such as stretching or compressing the frequency axis. Understanding this scaling effect is essential when designing filters that must maintain or adjust their frequency characteristics under transformations.

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Chapter 14, Problem 57. Determine the center frequency and bandwidth of the bandpass filters in Fig. 14.88.

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