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 10.1.1 Causality and Its Implications

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제13주

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Chapter 10 : Design of Digital Filters

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10.1 General Considerations

 In the filter design process

we determine the coefficients of a causal FIR or IIR filter that closely approximates the desired frequency response spec.

FIR: linear-phase characteistics.

IIR: lower sidelobes in the stopband, fewer parameters, less memory, lower computational complexity.

 Frequency transformations

LP prototype filter -> BPF, BSF, HPF.

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 10.1.1 Causality and Its Implications

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 10.1.1 Causality and Its Implications

What are the necessary & sufficient conditions that a frequency response characteristic H(w) must satisfy for causality?

Conversely, if |H(w)| is square integrable and if the integral (8.1.3) is finite, then H(w) is causal.

The magnitude function |H(w)| can be zero at some frequencies, but it cannot be zero over any finite band of frequencies, since the

integral then becomes infinite.

Therefore, ideal filter is non-causal.

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 10.1.1 Causality and Its Implications

Causality on the real and imaginary components of H(w)

j

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 10.1.1 Causality and Its Implications

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 10.1.2 Characteristics of Practical Frequency-Selective Filters

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Appendix : Linear shift-invariant causal systems Appendix : Linear shift-invariant

Appendix : Linear shift-invariant causal systems Appendix : Linear shift-invariant