MATLAB Data Import and Export

MATLAB Data Import and Export

MATLAB Data Import and Export by MathWorks
English | 2018 | ISBN: na | 552 Pages | PDF | 3.81 MB
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Learning MATLAB

Learning MATLAB
Learning MATLAB
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hour 13M | 185 MB
Genre: eLearning | Language: English


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Differential Equations A Problem Solving Approach Based on MATLAB


Differential Equations A Problem Solving Approach Based on MATLAB

Differential Equations: A Problem Solving Approach Based on MATLAB by P. Mohana Shankar
2018 | ISBN: 1138501603 | English | 458 pages | PDF | 23 MB

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Advanced Numerical Methods with Matlab 2 Resolution of Nonlinear, Differential and Partial Differential Equations


Advanced Numerical Methods with Matlab 2 Resolution of Nonlinear, Differential and Partial Differential Equations

Bouchaib Radi and Abdelkhalak El Hami, "Advanced Numerical Methods with Matlab 2 Resolution of Nonlinear, Differential and Partial Differential Equations"
English | ISBN: 1786302934 | 2018 | 218 pages | PDF | 4 MB

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MathWorks MATLAB R2018a Update 3


MathWorks MATLAB R2018a Update 3
MathWorks MATLAB R2018a Update 3 | 978 Mb

MATLABĀ® combines a desktop environment tuned for iterative analysis and design processes with a programming language that expresses matrix and array mathematics directly.
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MathWorks MATLAB R2018a Update 3 (9.4.0.885841) Only


MathWorks MATLAB R2018a Update 3 (9.4.0.885841) Only
MathWorks MATLAB R2018a Update 3 | 1.9 Gb

MathWorks introduced an update to Release 2018a (R2018a) with a range of new capabilities and fixed bugs in MATLAB and Simulink. This update contains performance improvements for the labeling apps in Computer Vision System Toolbox, and updates the makefile for GPU Coder's Multi-Platform Deep Learning Targeting example.
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Learn MATLAB and Simulink Programming


Learn MATLAB and Simulink Programming

Learn MATLAB and Simulink Programming
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 7 Hours | Lec: 74 | 885 MB
Genre: eLearning | Language: English

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Mathworks Matlab R2018a Update 3 Full

Mathworks Matlab R2018a Update 3 Full
Mathworks Matlab R2018a Update 3 Full | 13.89 GB

MATLAB (short for "Matrix Laboratory") is a software package for solving technical computing problems and the programming language of the same name used in this package. Using MATLAB created by MathWorks, you can easily perform matrix calculations, visualize mathematical functions and experimental data, implement computational algorithms, design a graphical user interface for solving specific problems, and interact with other programming languages ​​and programs via special interfaces.
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MathWorks MATLAB R2018a Update.3

MathWorks MATLAB R2018a Update.3


MathWorks MATLAB R2018a Update 3 | 1.9 Gb

MathWorks introduced an update to Release 2018a (R2018a) with a range of new capabilities and fixed bugs in MATLAB and Simulink. This update contains performance improvements for the labeling apps in Computer Vision System Toolbox, and updates the makefile for GPU Coder's Multi-Platform Deep Learning Targeting example.
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Introduction to Digital Signal Processing Using MATLAB with Application to Digital Communications

Introduction to Digital Signal Processing Using MATLAB with Application to Digital Communications

Introduction to Digital Signal Processing Using MATLAB with Application to Digital Communications By K.S. Thyagarajan
English | PDF,EPUB | 2018 (2019 Edition) | 510 Pages | ISBN : 3319760289 | 119.61 MB
This textbook provides engineering students with instruction on processing signals encountered in speech, music, and wireless communications using software or hardware by employing basic mathematical methods. The book starts with an overview of signal processing, introducing readers to the field. It goes on to give instruction in converting continuous time signals into digital signals and discusses various methods to process the digital signals, such as filtering. The author uses MATLAB throughout as a user-friendly software tool to perform various digital signal processing algorithms and to simulate real-time systems. Readers learn how to convert analog signals into digital signals; how to process these signals using software or hardware; and how to write algorithms to perform useful operations on the acquired signals such as filtering, detecting digitally modulated signals, correcting channel distortions, etc. Students are also shown how to convert MATLAB codes into firmware codes. Further, students will be able to apply the basic digital signal processing techniques in their workplace. The book is based on the author's popular online course at University of California, San Diego.
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