IIR filter design - Continuous and Discrete Time Signals and Systems - page 745

16.18 Quantize the coefficients of the bandstop filters obtained in Problem
16.16 with a resolution of three decimal points. Are the filter with quan-
tized coefficients stable?
16.19 Repeat Problem 16.18 with a resolution of one decimal point.
16.20 By plotting the poles of the highpass filter obtained in Problem 16.10,
determine if the filter is absolutely stable. Quantize the coefficients of
the filter with a resolution of three decimal points. Are the filter with
quantized coefficients stable?
16.21 By plotting the poles of the bandpass filter obtained in Problem 16.11,
determine if the filter is absolutely stable. Quantize the coefficients of
the filter with three decimal points accuracy. Is the filter with quantized
coefficients stable?
16.22 By plotting the poles of the bandstop filter obtained in Problem 16.12,
determine if the filter is absolutely stable. Quantize the coefficients of
the filter with three decimal points accuracy. Is the filter with quantized
coefficients stable?
16.23 Compare the implementation complexity of the highpass FIR filter
designed in Example 15.5 and the IIR filters designed in Problem 16.14.
16.24 Compare the implementation complexity of the bandpass FIR filter
designed in Example 15.6 and the IIR filters designed in Problem 16.15.
16.25 Compare the implementation complexity of the bandstop FIR filter
designed in Example 15.7 and the IIR filters designed in Problem 16.16.
16.26 Using the M ATLAB , filter design function, confirm the transfer func-
tions derived in Problems 16.10-16.16.