Digital audio, speech recognition, cable modems, radar, high-definition television-these are but a few of the modern computer and communications applications relying on digital signal processing (DSP) and the attendant application-specific integrated circuits (ASICs). As information-age industries constantly reinvent ASIC chips for lower power ...
The sampling rates for digital signal processing (DSP) in such applications as speech, telephony, mobile radio, video, radar and sonar, ranges from 10 kHz to 100 MHz. Real-time implementation of such systems requires design of hardware that can process signal samples as these are received from the source, rather than storing them in buffers for ...
"Pipelined Lattice and Wave Digital Recursive Filters" uses look-ahead transformation and constrained filter design approaches. It is also shown that pipelining often reduces the roundoff noise in a digital filter. The pipelined recursive lattice and wave digital filters presented are well suited where increasing speed and reducing area or power ...
Adaptive filtering is commonly used in many communication applications including speech and video predictive coding, mobile radio, ISDN subscriber loops, and multimedia systems. Existing adaptive filtering topologies are non-concurrent and cannot be pipelined. "Pipelined Adaptive Digital Filters" presents new pipelined topologies which are useful ...
Addresses a wide selection of multimedia applications, programmable and custom architectures for the implementations of multimedia systems, and arithmetic architectures and design methodologies. The book covers recent applications of digital signal processing algorithms in multimedia, presents high-speed and low-priority binary and finite field ...
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