The book "Adaptive Filters; Principles of Least Mean Squares with MATLAB
" is written by Alexander D. Poularikas and translated by Dr. Mahdi Bakrani and Dr. Rajabi, members of the faculty at Qom University of Technology, published by Qom University of Technology Press.
According to the Public Relations of Qom University of Technology, adaptive filters are detailed in 436 pages and 9 chapters, aimed at engineers and scientists in applied sciences who wish to learn the principles of adaptive filtering but are not specialists in this specific field.
The book on adaptive filters serves as the first course in digital signal processing for graduate studies, focusing on the most important part of adaptive filters, namely least mean squares (LMS), which is part of the domain of statistical signal processing.
Adaptive filters have found applications in various and diverse fields such as telecommunications, control, radar, sonar, and geology.
Among the chapters of this book are vectors, matrices, processing of discrete deterministic signals, time stochastic processes, Wiener filters, and more.
Those interested in obtaining "Adaptive Filters" can correspond via email at press@qut.ac.ir or call extension 162.
