Digital signal processing (DSP) covers a wide range of applicationssuch as signal acquisition, analysis, transmission, storage, andsynthesis. Special attention is needed for the VLSI (very largescale integration) implementation of high performance DSP systemswith examples from video and radar applications. This book providesbasic architectures for VLSI implementations of DSP tasks coveringarchitectures for application specific circuits and programmableDSP circuits. It fills an important gap in the literature byfocusing on the transition from algorithms specification toarchitectures for VLSI implementations. Areas coveredinclude: * architectures for basic operations and elementary functions * parallel processing and pipelining * application specific array processors * programmable digital signal processors With the fusion of signal processing algorithms and VLSI circuitdesign it will assist digital signal processing architecturedevelopers. This book is of particular interest to electronicengineering and computer science students and will benefitpractitioners of digital signal processor circuit design.

This CD contains five appendices from the book and programs (MATLAB, Simulink, C, and TMS320C5000 assembly) with their associated data files.

"Presents the latest developments in the prgramming and design of programmable digital signal processors (PDSPs) with very-long-instruction word (VLIW) architecture, algorithm formulation and implementation, and modern applications for multimedia processing, communications, and industrial control."

Digital signal processing (DSP) covers a wide range of applications in which the implementation of high-performance systems to meet stringent requirements and performance constraints is receiving increasing attention both in the industrial and academic contexts. Conceived to be available to a wide audience, the aim of this book is to provide students, researchers, engineers and the industrial community with a guide to the latest advances in emerging issues in the design and implementation of DSP systems for application-specific circuits and programmable devices. The book is divided into different sections including real-time audio applications, optical signal processing, image and video processing and advanced architectures and implementations. It will enable early-stage researchers and developers to deal with the important gap in knowledge in the transition from algorithm specification to the design of architectures for VLSI implementations.

This book addresses hardware architectures for implementations of Digital Signal Processing algorithms. Depending on software requirements, DSP may be implemented as dedicated hardware or as software programmable devices, and architectures for implementations of basic operations and basic functions are relevant for both implementation types. The mapping of signal processing algorithms onto specific array processors is covered, as are special applications digital filters and linear transforms. The architectures of programmable DSPs are integral to the book, and architectural measures to increase signal processing performance are explained. Both basic architectures of standard processors, and more specialist means such as SIMD, VLIW, and superscalar architectures are included. Significant developments in technology since the previous edition will receive particular focus: these include semiconductor technologies enabling the implementation of several programmable cores on one chip; multiprocessors with homogenous and heterogeneous structures; and Field Programmable Gate Arrays (FPGAs) allowing rapid prototyping. A concluding chapter looks at alternative DSP design styles (dedicated digital design, implementations using commercial DSP processors, application specific programmable processors, FPGA implementations) driven by application demands and implementation constraints. The focus of the book is the transition of signal processing algorithms to hardware architectures for VLSI implementations.

In DSP Architecture Design Essentials, authors Dejan Marković and Robert W. Brodersen cover a key subject for the successful realization of DSP algorithms for communications, multimedia, and healthcare applications. The book addresses the need for DSP architecture design that maps advanced DSP algorithms to hardware in the most power- and area-efficient way. The key feature of this text is a design methodology based on a high-level design model that leads to hardware implementation with minimum power and area. The methodology includes algorithm-level considerations such as automated word-length reduction and intrinsic data properties that can be leveraged to reduce hardware complexity. From a high-level data-flow graph model, an architecture exploration methodology based on linear programming is used to create an array of architectural solutions tailored to the underlying hardware technology. The book is supplemented with online material: bibliography, design examples, CAD tutorials and custom software.