Multirate Signal Processing for Communication Systems

By F. Harris. 2004

506 citations recorded by the source corpus.

Multirate Signal Processing for Communication Systems: Current Practice and Next Generation Techniques fredric j harrisMultirate signal processing can reduce costs and improve performance in applications ranging from laboratory instruments to cable modems, wireless systems, and consumer entertainment products. This book offers the first systematic, clear, and intuitive introduction to multirate signal processing for working engineers and system designers.The author uses extensive examples and figures to illuminate a wide range of multirate techniques, from basic resampling to leading-edge cascade and multiple-stage filter structures. Along the way, he draws on extensive research and consulting experience to introduce processing itricksi shown to maximize performance and efficiency.Coverage includes: Effective sampling and resampling in time and frequency domains Relationships between IIR Filter specifications and filter length (taps) Window design and equal-ripple (Remez) design techniques Square-Root Nyquist and Half Band Filters, including new design enhancements Polyphase IIR Filters: up-sampling, down-sampling, and cascade up-down sampling Polyphase interpolators and filters that perform arbitrary sample rate change Dyadic Half Band Filters, including quadrature mirror and IIR Filters Polyphase Channelizers, including M-path modulators, demodulator channel banks, simultaneous interpolation, and channel bank formation Comprehensive coverage of recursive all-pass filtersoa topic never before covered in this detail Comparisons with traditional DSP design techniques Extensive applications coverage throughout

Subfields: Computational Mechanics, Computer Vision and Pattern Recognition, Signal Processing

View Paper: https://www.semanticscholar.org/paper/9d0faf3948dff47e930e96f927d592cc7cb08045

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In Computational Mechanics

In Computer Vision and Pattern Recognition

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Citations in the corpus

Deep Learning Based Communication Over the Air (2017, methodology): “transceiver, relying on polyphase filterbank clock recovery [32] with 32 phase filters (each with 1408 RRC taps) and a normalized loop bandwidth of 0.”
PPR: partial packet recovery for wireless networks (2007, methodology): “We can therefore include the same training sequence in the postamble (see Figure 3) and post-process the samples of the signal in the body of the packet afterwards, using standard signal processing techniques [17].”