Symbolic And Knowledge Based Signal Processing


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Symbolic and Knowledge-based Signal Processing


Symbolic and Knowledge-based Signal Processing

Author: Alan V. Oppenheim

language: en

Publisher:

Release Date: 1992


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Aimed at signal processors and computer scientists, this book of self-contained discussions explores how computer science can enhance the performance of signal processing systems and their design.

Handbook of VLSI Chip Design and Expert Systems


Handbook of VLSI Chip Design and Expert Systems

Author: A. F. Schwarz

language: en

Publisher: Academic Press

Release Date: 2014-05-10


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Handbook of VLSI Chip Design and Expert Systems provides information pertinent to the fundamental aspects of expert systems, which provides a knowledge-based approach to problem solving. This book discusses the use of expert systems in every possible subtask of VLSI chip design as well as in the interrelations between the subtasks. Organized into nine chapters, this book begins with an overview of design automation, which can be identified as Computer-Aided Design of Circuits and Systems (CADCAS). This text then presents the progress in artificial intelligence, with emphasis on expert systems. Other chapters consider the impact of design automation, which exploits the basic capabilities of computers to perform complex calculations and to handle huge amounts of data with a high speed and accuracy. This book discusses as well the characterization of microprocessors. The final chapter deals with interactive I/O devices. This book is a valuable resource for system design experts, circuit analysts and designers, logic designers, device engineers, technologists, and application-specific designers.

Lessons in Estimation Theory for Signal Processing, Communications, and Control


Lessons in Estimation Theory for Signal Processing, Communications, and Control

Author: Jerry M. Mendel

language: en

Publisher: Pearson Education

Release Date: 1995-03-14


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Estimation theory is a product of need and technology. As a result, it is an integral part of many branches of science and engineering. To help readers differentiate among the rich collection of estimation methods and algorithms, this book describes in detail many of the important estimation methods and shows how they are interrelated. Written as a collection of lessons, this book introduces readers o the general field of estimation theory and includes abundant supplementary material.