Digital signal processing (DSP) is used in a wide range of applications including voice processing, image processing, digital communications, the transfer of data over the internet, and image and data compression. Engineers who develop DSP applications today, and in the future, need to understand the fundamental theories and mathematical algorithms, and will need to address implementation issues like mapping algorithms to hardware, computational efficiency, and the effects of finite precision arithmetic. Alexander covers all these topics at a level appropriate for senior undergraduates or first year graduate students, making this text the ideal bridge between the theory and analytical procedures that form the basis for modern DSP, and pratical implementation.
1. Covers fundamental theories and analytical procedures that form the basis of modern DSP
2. Shows practical implementation of DSP in software and hardware
3. Includes Matlab for design and implementation of signal processing algorithms and related discrete time systems
4. Bridges the gap between reference texts and the knowledge needed to implement DSP applications in software or hardware
"synopsis" may belong to another edition of this title.
Learn the fundamental theories of modern DSP, apply them to voice, image, and data processing, and practice implementation of DSP algorithms in hardware and software.
"About this title" may belong to another edition of this title.
(No Available Copies)
If you know the book but cannot find it on AbeBooks, we can automatically search for it on your behalf as new inventory is added. If it is added to AbeBooks by one of our member booksellers, we will notify you!Create a Want