MATLAB: An Introduction with Applications
Designed for the newest version of the popular MATLAB software program, MATLAB: An Introduction with Applications, 3/e requires no previous knowledge of computer programming. The first chapter describes basic features of the program and shows how to use it in simple arithmetic operations with scalars. The next two chapters focus on the topic of arrays (the basis of MATLAB), while the remaining text covers a wide range of other applications. Computer screens, tutorials, samples, and...
Matlab: A Practical Introduction to Programming and Problem Solving
Matlab: A Practical Introduction to Programming and Problem Solving discusses the basic programming concepts and skills needed for problem solving using MATLAB software. The book differs from other texts in that it teaches programming concepts and the use of the built-in functions in MATLAB simultaneously. Starting with basic programming concepts, such as variables, assignments, input/output, selection, and loop statements, problems are introduced and solved throughout the book. The book is...
Mastering System Identification in 100 Exercises
This book enables readers to understand system identification and linear system modeling through 100 practical exercises without requiring complex theoretical knowledge. The contents encompass state-of-the-art system identification methods, with both time and frequency domain system identification methods covered, including the pros and cons of each. Each chapter features MATLAB exercises, discussions of the exercises, accompanying MATLAB downloads, and larger projects that serve as...
Computer-Based Exercises for Signal Processing Using Matlab (Matlab Curriculum)
This text is intended for use on introductory graduate-level courses in digital signal processing. Developed by a group of six scholars and teachers, this book offers a collection of exercises and projects which guide students in the use of MATLAB to explore major topical areas in digital signal processing. Features of the text include: projects and exercises which make full use of the power of MATLAB to explore conceptual, analytical and computational issues in digital signal processing;...
DIGITAL SIGNAL PROCESSING: THEORY AND PRACTICE
This text is intended for a senior undergraduate and graduate level, one-semester course on digital signal processing. It emphasizes the use of the discrete Fourier transform (the heart of practical digital signal processing) and comprehensively covers the design of commonly-used digital filters. The large number of visual aids such as figures, flow graphs, and tables should make the mathematical topic easy to learn. The numerous examples and the set of Matlab programs (a supplement to the...
Digital Signal Processing Laboratorty
Given the rapid software and hardware developments in DSP, it is vital for students to complement their theoretical learning with practical applications. Digital Signal Processing Laboratory is a practical, readily understandable text for those studying DSP for the first time. The author acquaints students with an integrated approach consisting of side-by-side training in theory and hardware/software aspects of DSP, making it ideal for the companion laboratory to a class in DSP theory.To...
Introduction to Digital Signal Processing (Essential Electronics)
'Introduction to Digital Signal Processing' covers the basic theory and practice of digital signal processing (DSP) at an introductory level. As with all volumes in the Essential Electronics Series, this book retains the unique formula of minimal mathematics and straightforward explanations. The author has included examples throughout of the standard software design package, MATLAB and screen dumps are used widely throughout to illustrate the text. Ideal for students on degree and diploma...
Ripples in Mathematics
This introduction to the discrete wavelet transform and its applications is based on a novel approach to discrete wavelets called lifting. After an elementary introduction, connections of filter theory are presented, and wavelet packet transforms are defined. The time-frequency plane is used for interpretation of signals, problems with finite length signals are detailed, and MATLAB is used for examples and implementation of transforms.
Synthetic Aperture Radar Signal Processing with MATLAB Algorithms
An up-to-date analysis of the SAR wavefront reconstruction signal theory and its digital implementation With the advent of fast computing and digital information processing techniques, synthetic aperture radar (SAR) technology has become both more powerful and more accurate. Synthetic Aperture Radar Signal Processing with MATLAB Algorithms addresses these recent developments, providing a complete, up-to-date analysis of SAR and its associated digital signal processing algorithms. This book...
Probabilistic Methods of Signal and System Analysis (The ^AOxford Series in Electrical and Computer Engineering)
Probabilistic Methods of Signal and System Analysis, 3/e stresses the engineering applications of probability theory, presenting the material at a level and in a manner ideally suited to engineering students at the junior or senior level. It is also useful as a review for graduate students and practicing engineers. Thoroughly revised and updated, this third edition incorporates increased use of the computer in both text examples and selected problems. It utilizes MATLAB as a...
System Analysis and Signal Processing: With emphasis on the use of Matlab
Are you looking for: a clear and accessible introduction to `signals and systems'? A text that integrates the use of MATLAB throughout and provides an introductory tutorial to the software? Comprehensive coverage of both continuous and discrete-time signal processing? A book that will be useful for further study? If the answer to any of the above questions is `Yes', then this is the ideal coursebook for you. System Analysis and Signal Processing provides a self-contained text suitable...
Computer-Based Exercises for Signal Processing Using MATLAB Ver.5
FEATURES: *Presents many computer-based problems that can be done in conjunction with a course in DSP theory. *Projects relate to practical systems and implementations so the reader can learn and understand how DSP is applied. *Includes projects and exercises, which make full use of the power of MATLAB v5 to explore conceptual, analytical, and computational issues in digital signal processing. *Many projects provide hints to introduce pitfalls, limitations and tricks for getting the most out...
Mastering Dsp Concepts Using Matlab
Organized around eight tutorials covering a typical set of topics in DSP, this text uses MATLAB Tutor programs to help students visualize key concepts in DSP. Intended as a supplement, it requires no MATLAB programming experience. Each chapter contains an overview of the material followed by simple examples which demonstrate how to quickly and effectively use and master each tutor. The text features GUIs for visualizing important DSP concepts such as signals and operations on signals,...
Signal Processing Algorithms in MATLAB (Bk/Disk)
MATLAB is the current "hot" language in signal processing. This book/disk package deails the basic algorithms of digital signal processing, and is written around a set of over 50 MATLAB function m-files, each of which is included on the disk. Emphasizes the application, as opposed to the theory of digital signal processing, covering discrete Fourier transforms, spectral analysis, the frequency and time-domain response of linear systems, digital IIR and FIR filtering; fast convolution and...
Introduction to Random Signals and Applied Kalman Filtering, 3rd Edition (Book only)
In this updated edition the main thrust is on applied Kalman filtering. Chapters 1-3 provide a minimal background in random process theory and the response of linear systems to random inputs. The following chapter is devoted to Wiener filtering and the remainder of the text deals with various facets of Kalman filtering with emphasis on applications. Starred problems at the end of each chapter are computer exercises. The authors believe that programming the equations and analyzing the results...
Digital Filters and Signal Processing: With MATLAB® Exercises
Digital Filters and Signal Processing, Third Edition ... with MATLAB Exercises presents a general survey of digital signal processing concepts, design methods, and implementation considerations, with an emphasis on digital filters. It is suitable as a textbook for senior undergraduate or first-year graduate courses in digital signal processing. While mathematically rigorous, the book stresses an intuitive understanding of digital filters and signal processing systems, with numerous...
Computer-Based Exercises for Signal Processing Using Matlab (Matlab Curriculum)
This text is intended for use on introductory graduate-level courses in digital signal processing. Developed by a group of six scholars and teachers, this book offers a collection of exercises and projects which guide students in the use of MATLAB to explore major topical areas in digital signal processing. Features of the text include: projects and exercises which make full use of the power of MATLAB to explore conceptual, analytical and computational issues in digital signal processing;...
