Digital Signal Processing 101 : everything you know to get started / Michael Parker.
Material type:
TextPublisher: Oxford, United Kingdom : Newnes is an imprint of Elsevier, [2017]Publisher: ©2017Edition: Second editionDescription: xvi, 415 pages : illustrations ; 24 cmContent type: - text
- unmediated
- volume
- 9780128114537 (paperback)
- TK 5102.9 P37 2017
| Item type | Current library | Shelving location | Call number | Copy number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|---|
Book
|
TUP Manila Library | General Circulation Section-GF | TK 5102.9 P37 2017 (Browse shelf(Opens below)) | c.1 | Available | P00031374 | |
Book
|
TUP Manila Library | General Circulation Section-GF | TK 5102.9 P37 2017 (Browse shelf(Opens below)) | c.2 | Available | P00033638 |
Browsing TUP Manila Library shelves, Shelving location: General Circulation Section-GF Close shelf browser (Hides shelf browser)
|
No cover image available
|
|
|
|
|
|
||
| TK 5102.9 I534 2000 Digital signal processing using MATLAB / | TK 5102.9 I54 2012 Digital signal processing using MATLAB / | TK 5102.9 L39 2018 Practical signal processing and its applications : with solved homework problems / | TK 5102.9 P37 2017 Digital Signal Processing 101 : everything you know to get started / | TK 5102.9 P37 2017 Digital Signal Processing 101 : everything you know to get started / | TK 5102.9 P47 1999 Signals, systems, and transforms / | TK 5102.9 R63 2004 Signals and systems : analysis using transform methods and MATLAB / |
Includes index.
Includes bibliographical references at the end of each chapters and index.
Digital Signal Processing 101: Everything You Need to Know to Get Started provides a basic tutorial on digital signal processing (DSP). Beginning with discussions of numerical representation and complex numbers and exponentials, it goes on to explain difficult concepts such as sampling, aliasing, imaginary numbers, and frequency response. It does so using easy-to-understand examples with minimum mathematics. In addition, there is an overview of the DSP functions and implementation used in several DSP-intensive fields or applications, from error correction to CDMA mobile communication to airborne radar systems. This book has been updated to include the latest developments in Digital Signal Processing, and hasïŽeight new chapters on: Automotive Radar Signal Processing Space-Time Adaptive Processing RadarField Orientated Motor Control Matrix Inversion algorithms GPUs for computing Machine LearningEntropy and Predictive CodingVideo compression.
There are no comments on this title.