(USA) Presumed first edition, Owner's name to endpaper, no other markings, the lower corner tips of the covers are slightly bumped, otherwise Near Fine; no dust jacket as published. Hardcover, xvi,410pp, index, graphs. Jackson is a Fellow of the IEEE and a recipient of the Technical Achievement Award of the IEEE, Acoustics Speech and |Signal Processing Society. This book provides a broad general introduction to the field of Digital Signal Processing. (3.0 JM LVR 205/1 Size: 8vo - over 7�" - 9�".

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Bibliographic Details

Title

Digital Filters and Signal Processing (Second edition)

Publisher

Kluwer Academic Publishers, Boston

Publication Date

1989

Language

English

ISBN 10

0898382769

ISBN 13

9780898382761

Binding

Hardcover

Edition

1st.

Condition

Near Fine

Dust Jacket Condition

No Dust Jacket

Seller catalogs

Math, Science,Technology,Physics, Engineering

About this title

Synopsis

This text provides a broad introduction to the field of digital signal processing and contains sufficient material for a two-semester sequence in this multifaceted subject. It is also written with the practicing engineer or scientist in mind, having many observations and examples of practical significance drawn from the author's industrial experience. The first semester, at the junior, senior, or first-year graduate level, could cover chapters 2 through 7 with topics perhaps from chapters 8 and 9, depending upon the background of the students. The only requisite background is linear systems theory for continuous-time systems, including Fourier and Laplace trans� forms. Many students will also have had some previous exposure to discrete-time systems, in which case chapters 2 through 4 may serve to review and expand that preparation. Note, in particular, that knowledge of probability theory and random processes is not required until chapters 10 and 11, except for section 7. 6 on the periodogram. A second, advanced course could utilize material from chapters 8 through 13. A comprehensive one-semester course for suitably prepared graduate students might cover chapters 4 through 9 and additional topics from chapters 10 through 13. Sections marked with a dagger Ct) cover advanced or specialized topics and may be skipped without loss of continuity. Notable features of the book include the following: 1. Numerous useful filter examples early in the text in chapters 4 and 5. 2. State-space representation and structures in chapters 4 and 11.

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