Digital signal processing using MATLAB / Vinay K. Ingle, John G. Proakis. 6
By: Ingle, Vinay K. 4 0 16 [, ] | [, ] |
Contributor(s): 5 6 [] |
Language: Unknown language code Summary language: Unknown language code Original language: Unknown language code Series: ; Australia : Cengage Learning, ©2012;copyright 2012.46Edition: Third editionDescription: 23 cm. xv, 652 pages : illustrationsContent type: text Media type: unmediated Carrier type: volumeISBN: 9781111427375 (paperbaack)ISSN: 2Other title: 6 []Uniform titles: | | Subject(s): -- 2 -- 0 -- -- | -- 2 -- 0 -- 6 -- | 2 0 -- | -- -- MATLAB. 20 -- | | -- -- Digital techniques;Mathematics. Signal processing -- -- 20 -- | -- -- -- 20 -- --Genre/Form: -- 2 -- Additional physical formats: DDC classification: | 621.3822 In4d 2012 LOC classification: | TK5102.9 | .I534 20122Other classification:| Item type | Current location | Home library | Collection | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|---|
| Book | PLM | PLM Circulation Section | Circulation-Circulating | 621.3822 In4d 2012 (Browse shelf) | Available | C36539 |
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Includes bibliographical references (p. 635-636) and index.
1. Introduction 2. Discrete-time signals and systems 3. Discrete-time Fourier analysis 4. z-Transform 5. Discrete Fourier transform 6. Implementation of discrete-time filters 7. FIR filter design 8. IIR filter design 9. Sampling rate conversion 10. Round-off effects in digital filters 11. Applications in adaptive filtering 12. Applications in communications.
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In this supplementary text, MATLAB® is used as a computing tool to explore traditional DSP topics and solve problems to gain insight. This greatly expands the range and complexity of problems that students can effectively study in the course. Since DSP applications are primarily algorithms implemented on a DSP processor or software, a fair amount of programming is required. Using interactive software such as MATLAB® makes it possible to place more emphasis on learning new and difficult concepts than on programming algorithms. Interesting practical examples are discussed and useful problems are explored.--publisher.
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