Matlab

MathWorks MATLAB R2017a (9.2.0.538062) macOS  Software

Posted by Artist14 at July 2, 2017
MathWorks MATLAB R2017a (9.2.0.538062) macOS

MathWorks MATLAB R2017a (9.2.0.538062) macOS | 9.92 GB

Millions of engineers and scientists worldwide use MATLAB to analyze and design the systems and products transforming our world. MATLAB is in automobile active safety systems, interplanetary spacecraft, health monitoring devices, smart power grids, and LTE cellular networks. It is used for machine learning, signal processing, image processing, computer vision, communications, computational finance, control design, robotics, and much more.

Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms (repost)  eBooks & eLearning

Posted by libr at July 23, 2017
Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms (repost)

Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms by Caner Ozdemir
English | ISBN: 0470284846 | 2012 | PDF | 408 pages | 14,9 MB
Digital Signal Processing with Matlab Examples, Volume 2: Decomposition, Recovery, Data-Based Actions [Repost]

Jose Maria Giron-Sierra - Digital Signal Processing with Matlab Examples, Volume 2: Decomposition, Recovery, Data-Based Actions
Published: 2016-12-03 | ISBN: 9811025363 | PDF | 913 pages | 21.78 MB

MATLAB Machine Learning [Repost]  eBooks & eLearning

Posted by hill0 at July 21, 2017
MATLAB Machine Learning [Repost]

MATLAB Machine Learning by Michael Paluszek
English | 29 Dec. 2016 | ISBN: 1484222490 | 348 Pages | PDF | 9.87 MB

This book is a comprehensive guide to machine learning with worked examples in MATLAB. It starts with an overview of the history of Artificial Intelligence and automatic control and how the field of machine learning grew from these. It provides descriptions of all major areas in machine learning.

Data Analysis with MATLAB for Excel Users  eBooks & eLearning

Posted by naag at July 21, 2017
Data Analysis with MATLAB for Excel Users

Data Analysis with MATLAB for Excel Users
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | Lec: 26 | 286 MB
Genre: eLearning | Language: English

MATLAB tutorial for Importing, Analyzing and sharing your results of data analysis from excel files.
Modelling Organs, Tissues, Cells and Devices: Using MATLAB and COMSOL Multiphysics (Lecture Notes in Bioengineering) [Repost]

Modelling Organs, Tissues, Cells and Devices: Using MATLAB and COMSOL Multiphysics (Lecture Notes in Bioengineering) by Socrates Dokos
English | 28 Mar. 2017 | ISBN: 3642548008 | 518 Pages | PDF | 17.29 MB

This book presents a theoretical and practical overview of computational modeling in bioengineering, focusing on a range of applications including electrical stimulation of neural and cardiac tissue,

MATLAB Demystified [Repost]  eBooks & eLearning

Posted by ChrisRedfield at July 17, 2017
MATLAB Demystified [Repost]

David McMahon - MATLAB Demystified
Published: 2007-04-27 | ISBN: 0071485511 | PDF | 336 pages | 4.66 MB
"Numerical Methods for Engineers and Scientists: An Introduction with Applications using MATLAB" by Amos Gilat

"Numerical Methods for Engineers and Scientists: An Introduction with Applications using MATLAB" by Amos Gilat
ITexLi | 2014 | ISBN: 1118803019 9781118803011 | pages | PDF | MB

This book provides engineers with a more concise treatment of the essential topics of numerical methods while emphasizing MATLAB use. The third edition includes a new chapter, with all new content, on Fourier Transform and a new chapter on Eigenvalues (compiled from existing Second Edition content). The focus is placed on the use of anonymous functions instead of inline functions and the uses of subfunctions and nested functions. This updated edition includes 50% new or updated Homework Problems, updated examples, helping engineers test their understanding and reinforce key concepts.

New To This Edition
NEW Chapter: A new chapter (Chapter 7) on Fourier Methods has been added to the book. The chapter covers Fourier series, discrete Fourier series, Discrete Fourier Transform, and an introduction to the Fast Fourier Transform (FFT), which is widely used in engineering for processing digital data.
Eignvalues and Eignvectors: This topic, which was part of Chapter 4 (Solving a System of Linear Equations) in the first two editions of the book, is now covered in a separate chapter, further strengthening the coverage of this key topic.

MATLAB: The third edition of the book is updated to MATLAB R2012b. All the programs use anonymous functions, and function handles are used for passing functions into functions. Appendix A has been updated to the current version of MATLAB.
Homework Problems: Increased number of end-of-chapter problems to approximately 40 per chapter. About 50% of end-of-chapter problems have been revised.

"Numerical and Analytical Methods with MATLAB" by William Bober, Chi-Tay Tsai  eBooks & eLearning

Posted by exLib at July 15, 2017
"Numerical and Analytical Methods with MATLAB" by William Bober, Chi-Tay Tsai

"Numerical and Analytical Methods with MATLAB" by William Bober, Chi-Tay Tsai
Series: Computational Mechanics and Applied Analysis
CRC Press | 2010 | ISBN: 1420093576 9781420093575 | 470 pages | PDF | 13 MB

This volume presents extensive coverage of the MATLAB programming language for engineers. It demonstrates how the built-in functions of MATLAB can be used to solve systems of linear equations, ODEs, roots of transcendental equations, statistical problems, optimization problems, control systems problems, and stress analysis problems.

Processing Medical Thermal Images: Using Matlab®  eBooks & eLearning

Posted by AvaxGenius at July 12, 2017
Processing Medical Thermal Images: Using Matlab®

Processing Medical Thermal Images: Using Matlab® By Robert Koprowski
English | PDF | 2018 | 154 Pages | ISBN : 3319613391 | 13.5 MB

The book presents automatic and reproducible methods for the analysis of medical infrared images. All methods highlighted here have been practically implemented in Matlab, and the source code is presented and discussed in detail. Further, all methods have been verified with medical specialists, making the book an ideal resource for all IT specialists, bioengineers and physicians who wish to broaden their knowledge of tailored methods for medical infrared image analysis and processing.