[Free DownLoad] - Books for Matlab Programming & Applications Part 1

[Free DownLoad] - Books for Matlab Programming & Applications Part 1

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1. 

Multi-carrier Communication Systems With Examples In Matlab®: A New Perspective

Book Description:

Detailing the advantages and limitations of multi-carrier communication, this book proposes possible solutions for these limitations. Multi-Carrier Communication Systems with Examples in MATLAB®: A New Perspectiveaddresses the two primary drawbacks of orthogonal frequency division multiplexing (OFDM) communication systems: the high sensitivity to carrier frequency offsets and phase noise, and the high peak-to-average power ratio (PAPR) of the transmitted signals.

Presenting a new interleaving scheme for multicarrier communication, the book starts with a detailed overview of multi-carrier systems such as OFDM, multi-carrier code division multiple access (MC-CDMA), and single-carrier frequency division multiple access (SC-FDMA) systems. From there, it proposes a new way to deal with the frequency-selective fading channel: the single-carrier with frequency domain equalization (SC-FDE) scheme.

The second part of the book examines the performance of the continuous phase modulation (CPM)-based OFDM (CPM-OFDM) system. It proposes a CPM-based single-carrier frequency domain equalization (CPM-SC-FDE) structure for broadband wireless communication systems.

In the third part of the book, the author proposes a chaotic interleaving scheme for both CPM-OFDM and the CPM-SC-FDE systems. A comparison between the proposed chaotic interleaving and the conventional block interleaving is also performed in this part.

The final part of the book presents efficient image transmission techniques over multi-carrier systems such as OFDM, MC-CDMA, and SC-FDMA. It details a new approach for efficient image transmission over OFDM and MC-CDMA systems using chaotic interleaving that transmits images over wireless channels efficiently.

The book studies the performance of discrete cosine transform-based single-carrier frequency division multiple access (DCT-SC-FDMA) with image transmission. It also proposes a CPM-based DCT-SC-FDMA structure for efficient image transmission.

The book includes MATLAB® simulations along with MATLAB code so you can practice carrying out your own extensive simulations.

Link download: PDF

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2. 

Still Image And Video Compression With Matlab

Book Description:

This book describes the principles of image and video compression techniques and introduces current and popular compression standards, such as the MPEG series. Derivations of relevant compression algorithms are developed in an easy-to-follow fashion. Numerous examples are provided in each chapter to illustrate the concepts.

This authoritative text enables readers to grasp the basic principles of still image and video compression methods as well as the current and popular compression standards, such as JPEG, MPEG, and Advanced Video Coding (AVC). Written in clear language and with minimal mathematical derivations, it allows readers to gain practical experience in simulating actual compression systems via the globally popular MATLAB software platform.

The book first introduces qualitatively the plethora of image compression methods available followed by image acquisition techniques, illustrating the design of uniform and non-uniform quantizers. Next, various image transforms such as the discrete cosine (dct) and discrete wavelet (dwt) are explained. Predictive coding—a core ingredient in various compression standards—is reviewed, along with lossless compression methods. Then follow chapters on still image compression schemes using DCT and wavelets (where JPEG and JPEG2000 standards for still image compression are described) and video coding principles. Finally, the book explains video compression standards such as MPEG-1, 2, and 4 as well as H.264 (AVC), and covers video compression in a wireless environment.

Each chapter contains problems of varying difficulty—both analytical and software-oriented—and powerful simulation examples using MATLAB code to provide hands-on experience in applying various compression techniques. The code is simple enough to be easily modified to suit a reader's particular application. Many examples are accompanied by real-world pictures that illustrate the specific effect of a compression scheme. These unique features make this comprehensive resource an ideal textbook for senior and first-year graduate students in courses in image processing and compression in electrical engineering and computer science. It is also a concise hands-on reference for professionals and practicing engineers.

Link download: PDF

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3. 

Arduino Programming Using Matlab

Book Description:

MATLAB has a feature to enable Arduino development via MATLAB Support Package for Arduino Hardware since MATLAB 2014a. This book helps you to develop Arduino program using MATLAB. The following is highlight topics:
* Preparing Development Environment
* Setting Arduino Development for MATLAB
* Working with Digital I/O
* Working with PWM and Analog Input
* Working with I2C
* Working with SPI
* Working with Servo Motor
* Measuring and Plotting Sensor Data in Real-Time

Link download: PDF

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4. 

Accelerating MATLAB Performance: 1001 Tips to Speed Up MATLAB Programs

Book Description:

The MATLAB® programming environment is often perceived as a platform suitable for prototyping and modeling but not for "serious" applications. One of the main complaints is that MATLAB is just too slow.

Accelerating MATLAB Performance aims to correct this perception by describing multiple ways to greatly improve MATLAB program speed. Packed with thousands of helpful tips, it leaves no stone unturned, discussing every aspect of MATLAB.

Ideal for novices and professionals alike, the book describes MATLAB performance in a scale and depth never before published. It takes a comprehensive approach to MATLAB performance, illustrating numerous ways to attain the desired speedup.

The book covers MATLAB, CPU, and memory profiling and discusses various tradeoffs in performance tuning. It describes both the application of standard industry techniques in MATLAB, as well as methods that are specific to MATLAB such as using different data types or built-in functions.

The book covers MATLAB vectorization, parallelization (implicit and explicit), optimization, memory management, chunking, and caching. It explains MATLAB’s memory model and details how it can be leveraged. It describes the use of GPU, MEX, FPGA, and other forms of compiled code, as well as techniques for speeding up deployed applications. It details specific tips for MATLAB GUI, graphics, and I/O. It also reviews a wide variety of utilities, libraries, and toolboxes that can help to improve performance.

Sufficient information is provided to allow readers to immediately apply the suggestions to their own MATLAB programs. Extensive references are also included to allow those who wish to expand the treatment of a particular topic to do so easily.

Supported by an active website, and numerous code examples, the book will help readers rapidly attain significant reductions in development costs and program run times.

Link download: PDF

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5. 

Computational Statistics Handbook With Matlab, 2nd Edition

Book Description:

This book is perfectly appropriate as a textbook for an introductory course on computational statistics. It covers many useful topics, which in combination with the well-documented code, make the underlying concepts easy to grasp by the students. … Overall, this is a very nice book to be used in an undergraduate- or Masters-level computational statistics course. It would also prove useful to researchers in other fields that want to learn and implement quickly some advanced statistical techniques.

As with the bestselling first edition, Computational Statistics Handbook with MATLAB®, Second Edition covers some of the most commonly used contemporary techniques in computational statistics. With a strong, practical focus on implementing the methods, the authors include algorithmic descriptions of the procedures as well as examples that illustrate the use of the algorithms in data analysis. Updated for MATLAB® R2007a and the Statistics Toolbox, Version 6.0, this edition incorporates many additional computational statistics topics.
New to the Second Edition

• New functions for multivariate normal and multivariate t distributions

• Updated information on the new MATLAB functionality for univariate and bivariate histograms, glyphs, and parallel coordinate plots

• New content on independent component analysis, nonlinear dimensionality reduction, and multidimensional scaling

• New topics on linear classifiers, quadratic classifiers, and voting methods, such as bagging, boosting, and random forests

• More methods for unsupervised learning, including model-based clustering and techniques for assessing the results of clustering

• A new chapter on parametric models that covers spline regression models, logistic regression, and generalized linear models

• Expanded information on smoothers, such as bin smoothing, running mean and line smoothers, and smoothing splines

With numerous problems and suggestions for further reading, this accessible text facilitates an understanding of computational statistics concepts and how they are employed in data analysis.

Link download: PDF

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[Free DownLoad] - Books for Matlab Programming & Applications Part 2