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Parallel Architecture for Reliable Digital Signal Processing Systems introduces the concept of a dual-mode architecture that allows users a dynamic;
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The market for single chip microprocessors is huge and their performance continues to increase, driven by the on-going demand for more;
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current and fluent in VLSI design methodologies for DSP. Enter VLSI Digital Signal Processing Systems-a unique, comprehensive guide to;
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Intended as a text for three courses - Signals and Systems, Digital Signal Processing (DSP), and DSP Architecture - this comprehensive text;
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Aims to bridge the gap between parallel computer architectures and the creation of parallel digital signal processing (DSP) algorithms;
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Digital Design of Signal Processing Systems discusses a spectrum of architectures and methods for effective implementation of algorithms;
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Processing we present a novel method for implementing signal processing based on WT in an analog way. The methodology presented focuses on the;
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Pattern Recognition and Signal Processing in Archaeometry: Mathematical and Computational Solutions for Archaeology offers state of the art;
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For senior/graduate courses in Digital Signal Processing. This text offers students a hands-on approach to understanding architecture and;
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of time-based signal processing and design techniques of CMOS time-mode circuits have emerged; however, an in-depth examination of the principles;
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practical and robust solutions based on digital signal processing techniques. Users will find this to be a comprehensive resource that contributes;
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A significant revision of a best-selling text for the introductory digital signal processing course. This book presents the;
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, and arithmetic architectures and design methodologies. The book covers recent applications of digital signal processing algorithms;
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Now available in a three-volume set, this updated and expanded edition of the bestselling The Digital Signal Processing Handbook continues;
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Now available in a three-volume set, this updated and expanded edition of the bestselling The Digital Signal Processing Handbook continues;
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Studio version 6 available on companion website Digital Signal Processing Using the ARM(R) Cortex(R)-M4 serves as a teaching aid for university;
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Classical signal processing techniques are based primarily on the analog nature of all signals. However, the continuously improving;
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-transform, and digital filters. Part 2: Model-based Signal Processing covers probability and information models, Bayesian inference, Wiener filter;
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Presents the latest developments in the prgramming and design of programmable digital signal processors (PDSPs) with very-long-instruction;
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principles for designing the robust digital signal processing algorithms employed by complex radar systems.;
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principles for designing the robust digital signal processing algorithms employed by complex radar systems.;
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Field-Programmable Gate Arrays (FPGAs) are revolutionizing digital signal processing. The efficient implementation of front-end digital;
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This volume deals with the following topics: 2-D, 3-D automata and grammars, parallel architecture for image processing, parallel digital;
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real-time architectures for embedded systems Event-based continuous-time signal acquisition and DSP Statistical event-based signal processing;
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digital (FIR and IIR) filters Event-based local bandwidth estimation and signal reconstruction Event-Based Control and Signal Processing is the;
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Now available in a three-volume set, this updated and expanded edition of the bestselling Digital Signal Processing Handbook continues to;
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