This comprehensive volume explores the analysis of the behavior (stability and performance) of adaptive signal processing (ASP) algorithms. Authors Victor Solo and Xuan Kong discuss general methods of both algorithm construction and algorithm analysis. They introduce ASP through its applications, show how to construct ASP algorithms, and provide a detailed global stability and performance analysis in the presence of time varying parameters in both deterministic and stochastic settings.

Adaptive Signal Processing Algorithms: explores deterministic stability analysis by means of averaging methods; covers blind equalization; utilizes simulation throughout to amplify theoretical and practical points; lists additional references for each chapter for those who wish to pursue a specific topic in more depth than is provided. In addition, this is the first book of its type to treat time varying parameters.