I think the reason DSP is preceived as difficult to understand, is because traditional book/class tend to spend most of the time solving equations such as DFT, FFT, Z-transform of different signal (pulse, unit step, sinusoidal, square, triangular etc), differential equation to get zero and pole, sta
Digital signal processing : fundamentals and applications
โ Scribed by Li Tan; Jean Jiang
- Publisher
- Elsevier
- Year
- 2013
- Tongue
- English
- Leaves
- 893
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
This textbook presents digital signal processing (DSP) principles, applications, and hardware implementation issues, emphasizing achievable results and conclusions through the presentation of numerous worked examples, while reducing the use of mathematics for an easier grasp of the concepts. This text gives students in electronics, computer engineering and bioengineering an understanding of essential DSP principles and implementation, demonstrating how the subject is fundamental to engineering as practiced today. Covers DSP principles with emphasis on applications to communications and control.Discusses implementation of DSP algorithms in hardware and softwareChapter Objectives, worked examples, and end of chapter exercises aid the reader in grasping key concepts and solving related problemsWebsite with MATLAB programs for simulation and C programs for real-time DSP New to this Edition: MATLAB projects dealing with practical applications added throughout the bookNew chapter (chapter 13) covering subband coding and wavelet transforms, methods that have become popular in the DSP fieldNew applications included in many chapters, including applications of DFT to seismic signals, electrocardiography data, and vibration signalsAll real-time C programs revised for the TMS320C6713 DSK. Read more...
๐ SIMILAR VOLUMES
I think the reason DSP is preceived as difficult to understand, is because traditional book/class tend to spend most of the time solving equations such as DFT, FFT, Z-transform of different signal (pulse, unit step, sinusoidal, square, triangular etc), differential equation to get zero and pole, sta
This textbook presents digital signal processing (DSP) principles, applications, and hardware implementation issues, emphasizing achievable results and conclusions through the presentation of numerous worked examples, while reducing the use of mathematics for an easier grasp of the concepts. Thi
<p><i>Digital Signal Processing: Fundamentals and Applications, Third Edition,</i> 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
This textbook presents digital signal processing (DSP) principles, applications, and hardware implementation issues, emphasizing achievable results and conclusions through the presentation of numerous worked examples, while reducing the use of mathematics for an easier grasp of the concepts.