This book is an accessible guide to adaptive signal processing methods that equips the reader with advanced theoretical and practical tools for the study and development of circuit structures and provides robust algorithms relevant to a wide variety of application scenarios. Examples include multimodal and multimedia communications, the biological and biomedical fields, economic models, environmental sciences, acoustics, telecommunications, remote sensing, monitoring and in general, the modeling and prediction of complex physical phenomena. The reader will learn not only how to design and implement the algorithms but also how to evaluate their performance for specific applications utilizing the tools provided. While using a simple mathematical language, the employed approach is very rigorous. The text will be of value both for research purposes and for courses of study.Remark In the context of RVs, care must be taken. aquot;From the Latin probare, test, try, and ilis, be able to. Some example of continuous, discrete, and mixed pdf and cdf. 634 Appendix C. Elements of Random Variables, Stochastic Processes, and anbsp;...
|Title||:||Fundamentals of Adaptive Signal Processing|
|Publisher||:||Springer - 2014-12-30|