Digital signal processing : fundamentals and applications / Lizhe Tan, Jean Jiang.
Material type: TextPublisher: London [England] ; San Diego, CA : Elsevier/Academic Press, [2019]Edition: Third editionDescription: xv, 903 pages : illlustrationsContent type:- text
- computer
- online resource
- 9780128150719
- 621.3822 23
- TK5102.9 .T36 2019
Item type | Current library | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|
E-Resources | Main Library E-Resources | 621.3822 T161 (Browse shelf(Opens below)) | Available | E001980 |
Browsing Main Library shelves, Shelving location: E-Resources Close shelf browser (Hides shelf browser)
621.382 W798 Wireless communications and networks - recent advances | 621.3820285/53 L532 Communication systems principles using MATLAB / | 621.3822 R215 Channel Coding Techniques for Wireless Communications / | 621.3822 T161 Digital signal processing : fundamentals and applications / | 621.3822 T161 Digital signal processing : fundamentals and applications / | 621.3822 Z46 Principles of communications systems, modulation, and noise / | 621.3824 An627 Antenna engineering handbook / |
Includes bibliographical references (pages 885-887) and index.
1. Introduction to Digital Signal Processing 2. Signal Sampling and Quantization 3. Digital Signals and Systems 4. Discrete Fourier Transform and Signal Spectra 5. The Z-Transform 6. Digital Signal Processing Systems, Basic Filtering Types, and Digital Filter Realizations 7. Finite Impulse Response Filter Design 8. Infinite Impulse Response Filter Design 9. Adaptive Filters and Applications 10. Waveform Quantization and Compression 11. Multirate Digital Signal Processing, Oversampling Analog-To-Digital Conversion, and Undersampling of Bandpass Signals 12. Subband and Wavelet-Based Coding 13. Image Processing Basics 14. Hardware and Software for Digital Signal Processors.
Digital Signal Processing: Fundamentals and Applications, Third Edition, not only introduces students to the fundamental principles of DSP, it also provides a working knowledge that they take with them into their engineering careers. Many instructive, worked examples are used to illustrate the material, and the use of mathematics is minimized for an easier grasp of concepts. As such, this title is also useful as a reference for non-engineering students and practicing engineers. The book goes beyond DSP theory, showing the implementation of algorithms in hardware and software. Additional topics covered include adaptive filtering with noise reduction and echo cancellations, speech compression, signal sampling, digital filter realizations, filter design, multimedia applications, over-sampling, etc. More advanced topics are also covered, such as adaptive filters, speech compression such as PCM, µ-law, ADPCM, and multi-rate DSP, over-sampling ADC subband coding, and wavelet transform.
There are no comments on this title.