Advanced Textbooks in Control and Signal Processing- Princip ...

Anthony Zaknich

• 25 april 2005
• 9781852339845

Samenvatting:

The topics of control engineering and signal processing continue to flourish and develop. A new concept in control and signal processing is known to have arrived when sufficient material has evolved for the topic to be taught as a specialised tutorial workshop or as a course to undergraduate, graduate or industrial engineers.

Kalman and Wiener Filters, Neural Networks, Genetic Algorithms and Fuzzy Logic Systems Together in One Text Book

How can a signal be processed for which there are few or no a priori data?

Professor Zaknich provides an ideal textbook for one-semester introductory graduate or senior undergraduate courses in adaptive and self-learning systems for signal processing applications. Important topics are introduced and discussed sufficiently to give the reader adequate background for confident further investigation. The material is presented in a progression from a short introduction to adaptive systems through modelling, classical filters and spectral analysis to adaptive control theory, nonclassical adaptive systems and applications.

Features:

• Comprehensive review of linear and stochastic theory.

• Design guide for practical application of the least squares estimation method and Kalman filters.

• Study of classical adaptive systems together with neural networks, genetic algorithms and fuzzy logic systems and their combination to deal with such complex problems as underwater acoustic signal processing.

• Tutorial problems and exercises which identify the significant points and demonstrate the practical relevance of the theory.

• PDF Solutions Manual, available to tutors from springeronline.com, containing not just answers to the tutorial problems but also course outlines, sample examination material and project assignments to help in developing a teaching programme and to give ideas for practical investigations.

This is an ideal textbook for one-semester introductory graduate or senior undergraduate courses in adaptive and self-learning systems for signal processing. The material progresses from a short introduction to adaptive systems through modelling, classical filters and spectral analysis to adaptive control theory, nonclassical adaptive systems and applications.Features:- Comprehensive review of linear and stochastic theory.- Design guide for practical application of the least squares estimation method and Kalman filters.- Study of classical adaptive systems together with neural networks, genetic algorithms and fuzzy logic systems and their combination deals with complex problems like underwater acoustic signal processing.- Tutorial problems and exercises which identify significant points and demonstrate the practical relevance of the theory.- PDF Solutions Manual available to tutors containing answers to the tutorial problems, course outlines, sample examination material and project assignments.