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How to Optimally Sample and Resample Images: Theory and Methods Using Matlab

Posted By: yoyoloit
How to Optimally Sample and Resample Images: Theory and Methods Using Matlab

How to Optimally Sample and Resample Images: Theory and Methods Using MATLAB
by Yaroslavsky, Leonid;

English | 2020 | ISBN: 9811471800 | 183 pages | True PDF | 5.17 MB

Electric Power System Planning: Issues, Algorithms and Solutions (Repost)

Posted By: AvaxGenius
Electric Power System Planning: Issues, Algorithms and Solutions (Repost)

Electric Power System Planning: Issues, Algorithms and Solutions By Hossein Seifi, Mohammad Sadegh Sepasian
English | PDF | 2011 | 379 Pages | ISBN : 3642179886 | 10.4 MB

The present book addresses various power system planning issues for professionals as well as senior level and postgraduate students. Its emphasis is on long-term issues, although much of the ideas may be used for short and mid-term cases, with some modifications. Back-up materials are provided in twelve appendices of the book.
The readers can use the numerous examples presented within the chapters and problems at the end of the chapters, to make sure that the materials are adequately followed up.

Backpropagation Learning Method in Matlab

Posted By: ELK1nG
Backpropagation Learning Method in Matlab

Backpropagation Learning Method in Matlab
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 1.31 GB | Duration: 3h 21m

Learn to Develop Neural Network Methods in Matlab without using any Tools.

Wireless Communication Systems in Matlab, Second Edition

Posted By: interes
Wireless Communication Systems in Matlab, Second Edition

Wireless Communication Systems in Matlab, Second Edition by Mathuranathan Viswanathan and Varsha Srinivasan
English | Jun 8, 2020 | ISBN: n/a | ISBN-13: 9798648350779, 9798648523210 | 382 pages | PDF | 12 MB

Power Electronics(DCDC Converters,Matlab,Simulink) ELECTRICA

Posted By: ELK1nG
Power Electronics(DCDC Converters,Matlab,Simulink) ELECTRICA

Power Electronics(DCDC Converters,Matlab,Simulink) ELECTRICA
MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz
Language: English | Size: 696 MB | Duration: 54m

Designing, Modelling and Analysis of Power Electronics Components using Proteus and Simulink

Learning MATLAB: A Problem Solving Approach

Posted By: AvaxGenius
Learning MATLAB: A Problem Solving Approach

Learning MATLAB: A Problem Solving Approach by Walter Gander
English | PDF | 2015 | 155 Pages | ISBN : 3319253263 | 3.4 MB

This comprehensive and stimulating introduction to Matlab, a computer language now widely used for technical computing, is based on an introductory course held at Qian Weichang College, Shanghai University, in the fall of 2014.

Pattern Recognition and Computational Intelligence Techniques Using Matlab

Posted By: AvaxGenius
Pattern Recognition and Computational Intelligence Techniques Using Matlab

Pattern Recognition and Computational Intelligence Techniques Using Matlab by E. S. Gopi
English | PDF(Repost),EPUB | 2020 | 263 Pages | ISBN : 3030222721 | 52.5 MB

This book presents the complex topic of using computational intelligence for pattern recognition in a straightforward and applicable way, using Matlab to illustrate topics and concepts. The author covers computational intelligence tools like particle swarm optimization, bacterial foraging, simulated annealing, genetic algorithm, and artificial neural networks.

Digital Signal Processing: An Introduction

Posted By: AvaxGenius
Digital Signal Processing: An Introduction

Digital Signal Processing: An Introduction by Dr. D. Sundararajan
English | PDF,EPUB | 2021 | 403 Pages | ISBN : 303062367X | 33.5 MB

This textbook for a one semester introductory course in digital signal processing for senior undergraduate and first year graduate students in electrical and computer engineering departments is concise, highly readable, and yet provides comprehensive coverage of the topic. Each new topic is presented with examples and figures. The highly mathematical content of the topic is presented lucidly to make the learning the subject easier. Practical aspects of the subject are clearly indicated so that the student can apply the principles in real applications. Matlab programs for FIR filter design are provided as supplementary material online

Digital Image Processing Using Matlab

Posted By: DZ123
Digital Image Processing Using Matlab

Gonzalez, "Digital Image Processing Using Matlab"
English | 2009 | ISBN: 0070702624 | PDF | pages: 754 | 32.5 mb

Matlab Digital Image Processing From Ground Up™

Posted By: Sigha
Matlab Digital Image Processing From Ground Up™

Matlab Digital Image Processing From Ground Up™
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 2.39 GB
Genre: eLearning Video | Duration: 59 lectures (4 hour, 19 mins) | Language: English

Image Processing : Edge-Detection Algorithms , Convolution, Filter Design, Gray-Level Transformation, Histograms etc.

Numerical Methods for Engineering An introduction using MATLAB® and computational electromagnetics examples, 2nd Edition

Posted By: AvaxGenius
Numerical Methods for Engineering An introduction using MATLAB® and computational electromagnetics examples, 2nd Edition

Numerical Methods for Engineering An introduction using MATLAB® and computational electromagnetics examples, 2nd Edition by Karl F. Warnick
English | PDF | 2020 | 377 Pages | ISBN : 1839530731 | 4.47 MB

The revised and updated second edition of this textbook teaches students to create modeling codes used to analyze, design, and optimize structures and systems used in wireless communications, microwave circuits, and other applications of electromagnetic fields and waves. Worked code examples are provided for key algorithms using the MATLAB technical computing language.

Performing Feature Engineering with MATLAB

Posted By: lucky_aut
Performing Feature Engineering with MATLAB

Performing Feature Engineering with MATLAB
Duration: 54m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 137 MB
Genre: eLearning | Language: English

MATLAB is a widely used programming language for statistical computing. This course will teach you the fundamentals of performing feature engineering within MATLAB.

Introduction to Nonlinear Finite Element Analysis (Corrected publication 2018)

Posted By: AvaxGenius
Introduction to Nonlinear Finite Element Analysis (Corrected publication 2018)

Introduction to Nonlinear Finite Element Analysis by Nam-Ho Kim
English | EPUB | 2015 (Corrected publication 2018) | 444 Pages | ISBN : 1441917454 | 5 MB

This book introduces the key concepts of nonlinear finite element analysis procedures. The book explains the fundamental theories of the field and provides instructions on how to apply the concepts to solving practical engineering problems.

Discrete Stochastic Processes and Optimal Filtering

Posted By: AvaxGenius
Discrete Stochastic Processes and Optimal Filtering

Discrete Stochastic Processes and Optimal Filtering by Jean‐Claude Bertein
English | PDF | 2007 | 290 Pages | ISBN : 1905209746 | 2.77 MB

Optimal filtering applied to stationary and non-stationary signals provides the most efficient means of dealing with problems arising from the extraction of noise signals. Moreover, it is a fundamental feature in a range of applications, such as in navigation in aerospace and aeronautics, filter processing in the telecommunications industry, etc. This book provides a comprehensive overview of this area, discussing random and Gaussian vectors, outlining the results necessary for the creation of Wiener and adaptive filters used for stationary signals, as well as examining Kalman filters which are used in relation to non-stationary signals. Exercises with solutions feature in each chapter to demonstrate the practical application of these ideas using Matlab.

Robust data analysis in R and Matlab

Posted By: Sigha
Robust data analysis in R and Matlab

Robust data analysis in R and Matlab
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 3.51 GB
Genre: eLearning Video | Duration: 8 sections • 73 lectures • 9h 12m total length | Language: English

Learn robust data analysis with R and Matlab, the key in Machine Learning, Data Science and Statistics