Overview

Feedback-Based Orthogonal Digital Filters: Theory, Applications, and Implementation develops the theory of a feedback-based orthogonal digital filter and examines several applications where the filter topology leads to a simple and efficient solution. The development of the filter structure is linked to concepts in observer theory. Several signal processing problems can be represented as estimation problems, where a parametric representation of the input is used, to try and replicate it locally. This estimation problem can be solved using an identity observer, and the filter topology falls in this framework. Hence the filter topology represents a universal building block that can find application in several problems, such as spectral estimation, time-recursive computation of transforms, etc. Further, because of the orthogonality constraints satisfied by the structure, it also represents a robust solution under finite precision conditions. The book also presents the observer-based viewpoint of several signal processing problems, and shows that problems that are typically treated independently in the literature are in fact linked and can be cast in a single unified framework. In addition to examining the theoretical issues, the book describes practical issues related to a hardware implementation of the building block, in both the digital and analog domain. On the digital side, issues relating to implementation using semi-custom chips (FPGA's), and ASIC design are examined. On the analog side, the design and testing of a fabricated chip, that functions as a multi-sinusoidal phase-locked-loop, are described. Feedback-Based Orthogonal Digital Filters serves as an excellent reference. May be used as a text for advanced courses on the subject.

Full Product Details

Author:   Mukund Padmanabhan ,  Kenneth W. Martin ,  Gábor Péceli
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 1996
Volume:   343
Dimensions:   Width: 15.50cm , Height: 1.40cm , Length: 23.50cm
Weight:   0.429kg
ISBN:  

9781461285595

ISBN 10:   1461285593
Pages:   266
Publication Date:   26 September 2011
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

1 Introduction.- 1.1 Introduction.- 1.2 Brief overview of Observer theory.- 1.3 Overview of the Chapters.- 1.4 Notation.- 2 Feedback-Based Orthogonal Filter Structure.- 2.1 Introduction.- 2.2 Development of filter structure.- 2.3 Finite wordlength effects.- 2.4 Relationship to alternative approaches.- 2.5 Discussion.- 3 Time-Recursive Transform Computation.- 3.1 Introduction.- 3.2 Signal Representations and Transformations.- 3.3 A Common Framework for Recursive Transforms.- 3.4 Transform domain digital signal processing.- 3.5 Fast algorithms for recursive transformations.- 3.6 Discussion.- 4 Spectral Estimation.- 4.1 Introduction.- 4.2 Preliminaries.- 4.3 Development of the Pseudo-Gradient-Based Adaptive Algorithm †.- 4.4 Tracking of periodic signals.- 4.5 Spectral Analysis of Short Data-Segments †.- 4.6 Hyperstable Adaptation †.- 4.7 Simulations.- 4.8 Discussion.- 5 Hardware Implementation.- 5.1 Introduction.- 5.2 Bit-Serial Implementation.- 5.3 Bit-Parallel Implementation.- 5.4 Analog Implementation †.- 5.5 Discussion.- A Allpass Decomposition.- A.1 Circuit-theoretic interpretation.- A.2 Other transfer functions.- B Wave Digital Filter Structures.- C Orthogonal2 Filter Structures.- D Hyperstable Adaptive Filter.- E Bit-Serial Arithmetic — Building Blocks.

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