Digital signal processor
Digital signal processing algorithms require a large number of mathematical operations to be performed quickly on a set of data. Signals are converted from analog to digital, manipulated digitally, and then converted again to form digital to analog, as shown in the diagram. Many digital signal processing applications have real-time constraints; that is, for the system to work, the DSP operation must be completed within some time constraint.
The microarchitecture of a digital signal processor is optimized specifically for digital signal processing applications.
Other pages [change]
- A. John Anderson (1994). Foundations of Computer Technology. CRC Press. ISBN 0412598108. http://books.google.com/books?id=6PUH68h45BsC&pg=PA361&dq=%22real+time%22+%22digital+signal+processor%22&lr=&as_brr=3&ei=ALYlSNGNC4KKswOczZC8DQ&sig=Wt0P3ZANNvw8E5W1GzNGY5PoXfM#PPA361,M1.
Other websites [change]
- DSP Processor - Core-Based Wireless System Design
- DSP Engineering Magazine
- Introduction to DSP - Processor tutorial
- Improv Systems Homepage
- Analog Devices Homepage
- DSP Discussion Groups
- DSP Online Book
- DSPs and VLIW
- Pocket Guide to Processors for DSP - Berkeley Design Technology, INC
- DSP Online eBooks
- Texas Instruments Homepage
- CEVA, Inc. Homepage
- Freescale Semiconductor Homepage
- BDTI DSP Kernel Benchmarks™ Results
- The 2008 EDN DSP directory
- DSP-FPGA.com Magazine
- AR Parameter Estimation using TMS320C30