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This book covers random signals and random processes along with estimation of probability density function, estimation of energy spectral density and power spectral density. The properties of random processes and signal modelling are discussed with basic communication theory estimation and detection. MATLAB simulations are included for each concept with output of the program with case studies and project ideas. The chapters progressively introduce and explain the concepts of random signals and cover multiple applications for signal processing. The book is designed to cater to a wide audience starting from the undergraduates (electronics, electrical, instrumentation, computer, and telecommunication engineering) to the researchers working in the pertinent fields. Key Features: * Aimed at random signal processing with parametric signal processing-using appropriate segment size. * Covers speech, image, medical images, EEG and ECG signal processing. * Reviews optimal detection and estimation. * Discusses parametric modeling and signal processing in transform domain. * Includes MATLAB codes and relevant exercises, case studies and solved examples including multiple choice questions

高清PDF文件 Preface Most every mathematics Ph.D. student must take a qualifying exam in com- plex variables. The task is a bit daunting. This is one of the oldest areas in mathematics, it is beautiful and compelling, and there is a plethora of material. The literature in complex variables is vast and diverse. There are a great many textbooks in the subject, but each has a different point of view and places different emphases according to the tastes of the author. Thus it is a bit difficult for the student to focus on what are the essential parts of this subject. What must one absolutely know for the qualifying exam? What will be asked? What techniques will be stressed? What are the key facts? The purpose of this book is to answer these questions. This is definitely not a comprehensive textbook like [GRK]. It is rather an entree to the disci- pline. It will tell you the key ideas in a first-semester graduate course in the subject, map out the important theorems, and indicate most of the proofs. Here by “indicate” we mean that (i) if the proof is short then we include it, (ii) if the proof is of medium length then we outline it, and bf (iii) if the proof is long then we sketch it. This book has plenty of figures, plenty of examples, copious commentary, and even in-text exercises for the students. But, since it is not a formal textbook, it does not have exercise sets. It does not have a Glossary or a Table of Notation. This is meant to be a breezy book that you could read at one or two sittings, just to get the sense of what this subject is about and how it fits together. In that wise it is quite different from a typical mathematics text or monograph. After reading this book (or even while reading this book), you will want to pick up a more traditional and comprehensive tome and work your way through it. The present book will get you started on your journey.

A First Course in Mathematical Analysis Mathematical Analysis (often called Advanced Calculus) is generally found by students to be one of their hardest courses inMathematics. This text uses the so-called sequential approach to continuity, differentiability and integration to make it easier to understand the subject. Topics that are generally glossed over in the standard Calculus courses are given careful study here. For example, what exactly is a ‘continuous’ function? And how exactly can one give a careful definition of ‘integral’? This latter is often one of the mysterious points in a Calculus course – and it is quite tricky to give a rigorous treatment of integration! The text has a large number of diagrams and helpful margin notes, and uses many graded examples and exercises, often with complete solutions, to guide students through the tricky points. It is suitable for self study or use in parallel with a standard university course on the subject.

2006 by Taylor & Francis Group, LLC 高清格式。。。。。。。

Jenkins, W.K. “Fourier Series, Fourier Transforms, and the DFT” Digital Signal Processing Handbook Ed. Vijay K. Madisetti and Douglas B. Williams Boca Raton: CRC Press LLC, 1999

优快云上有书的代码，我把书上传一下 MATLAB7.x数字信号处理 pdf

A First Course in Complex Analysis