Ding (U. of California-Davis) and Li (Georgia Institute of Technology, Atlanta) discuss the design of blind equalization and identification and its application to research and development in digital communications systems. They assume readers have a basic background knowledge in digital communications systems and various mathematical tools, among them linear system analysis, digital signal processing, Fourier signal analysis, linear algebra, probability, and stochastic processes. In order to avoid becoming tangled in many tedious and often complicated analyses, they focus on basic algorithms and development to capture the essential concepts of underlying problems and approaches. The treatment is suitable for a graduate course. CiP shows the title as Blind Channel Equalization and Identification. Annotation c. Book News, Inc., Portland, OR (booknews.com)
This text seeks to clarify various contradictory claims regarding capabilities and limitations of blind equalization. It highlights basic operating conditions and potential for malfunction. The authors also address concepts and principles of blind algorithms for single input multiple output (SIMO) systems and multi-user extensions of SIMO equalization and identification.
