Digital Filter Design by T. W. Parks

By T. W. Parks

Explains the layout and implementation of electronic filters at the TMS 320 sign Processor. The TMS 320 is the major sign processing machine and is produced via Texas tools. This ebook is an functions textual content written for commercial clients of the chip, in addition to a supplementary graduate-level textual content in electronic clear out layout.

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The Ideal Low- Pass Frequency Response This chapter develops design procedures by considering the basic low-pass filter. The simplest ideal response has a pass band extending from o = 0 up to to = to, and a stop band extending from o = o, up to the Nyquist frequency of o = 7c (see Fig. In some cases there is a region between the pass band and the stop band where neither the desired nor the undesired signals exist. Or the region may be the overlap of the spectra of the desired and undesired signals.

5) can be sampled at N frequencies. Again, care must be used to avoid large errors between sample frequencies. The frequency-sampling design method can be used directly to design FIR filters; however, it may also be used as a starting point or intermediate stage in a more complicated method. 1. 1shows that by allowing a transition region as in Fig. lb, it is possible to reduce the overshoot or ripple in the pass band and stop band for a given order. ' This was a popular approach to FIR filter design before the Remes exchange algorithm was developed for the direct design of optimal Chebyshev filters.

5) can be sampled at N frequencies. Again, care must be used to avoid large errors between sample frequencies. The frequency-sampling design method can be used directly to design FIR filters; however, it may also be used as a starting point or intermediate stage in a more complicated method. 1. 1shows that by allowing a transition region as in Fig. lb, it is possible to reduce the overshoot or ripple in the pass band and stop band for a given order. ' This was a popular approach to FIR filter design before the Remes exchange algorithm was developed for the direct design of optimal Chebyshev filters.

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