A User-Oriented Approach to Designing FIR Deconvolution Filters
نویسنده
چکیده
Based on learning in input-output signal domain and controlling noise amplification by varying sampling rate, a pragmatic approach is developed for designing FIR deconvolution filters with the desired noise gains producing accurate as possible output time-domain waveforms for filter support intervals defined by a user. As an example, FIR linear phase digital differentiator is designed by the developed methodology for socalled logarithmic derivative technique and its performance is compared with that of the appropriate equiripple minimax and maximally linear differentiators. Key-Words: FIR Deconvolution Filters, Design by Learning, Regularization by Choosing Sampling Rate
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تاریخ انتشار 2012