Advanced Signal Processing Algorithms for Wireless Communications
Overview & Synopsis
Inexpensive and rapid computational power provided powerful tools to overcome the limitations of current technologies and enabled us to apply several advanced statistical signal processing techniques for the design of receivers in wireless communications systems. In this presentation, we first mention the knowledge gaps in general. Then, we briefly explain two techniques, namely, the expectation maximization (EM) and its modified version called the space-alternating generalized expectation maximization (SAGE) algorithm and the Monte Carlo Markov Chain (MMCC) technique based on the Gibbs Sampling algorithm.
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Document Information
| Document Title | Advanced Signal Processing Algorithms for Wireless Communications |
|---|---|
| Author / Organization | Erdal Panayırcı, Costas Georghiades, Xiaodong Wang, and Hakan A. Çırpan |
| Subject & Discipline | Wireless Communications and Mobile Computing, Digital Signal Processing (DSP), Sound and Imaging Processing, Computer Networks and Communications |
| Categories | Wireless Communications and Mobile Computing |
| Resource Verification | Verification pending |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
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| File Format | application/pdf (Portable Document Format) |
| Language | ENGLISH |
| Catalog ID | DOC-95877 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |