Learn IT - Books tags matlab

MATLAB Machine Learning Recipes: A Problem-Solution Approach

Apress, 2019

Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies critical to machine learning. Each example solves a real-world problem.

All code in MATLAB Machine Learning Recipes: A Problem-Solution Approach is executable....

Antenna and EM Modeling with Matlab

John Wiley & Sons, 2002

An accessible and practical tool for effective antenna design

Due to the rapid development of wireless communications, the modeling of radiation and scattering is becoming more important in the design of antennas. Consequently, it is increasingly important for antenna designers and students of antenna design to have a comprehensive...

Introduction to Numerical Ordinary and Partial Differential Equations Using MATLAB

John Wiley & Sons, 2004

Learn how to solve complex differential equations using MATLAB®

Introduction to Numerical Ordinary and Partial Differential Equations Using MATLAB® teaches readers how to numerically solve both ordinary and partial differential equations with ease. This innovative publication brings together a skillful treatment of MATLAB...

Python Scripting for Computational Science (Texts in Computational Science and Engineering)

Springer, 2004

The goal of this book is to teach computational scientists and engineers how to develop tailored, flexible, and efficient working environments built from small programs (scripts) written in the easy-to-learn, very high-level language Python. The focus is on examples and applications of relevance to computational science: gluing existing...

Real-Time Digital Signal Processing from MATLAB® to C with the TMS320C6x DSPs, Second Edition

CRC Press, 2011

From the Foreword:

"…There are many good textbooks today to teach digital signal processing, but most of them are content to teach the theory, and perhaps some MATLAB® simulations. This book has taken a bold step forward. It not only presents the theory, it reinforces...

Digital Signal Processing: System Analysis and Design

Cambridge University Press, 2010

This new, fully-revised edition covers all the major topics of digital signal processing (DSP) design and analysis in a single, all-inclusive volume, interweaving theory with real-world examples and design trade-offs. Building on the success of the original, this edition includes new material on random signal processing, a new chapter on...

Digital Signal Processing

McGraw-Hill, 2005

An up-to-the-minute textbook for junior/senior level signal processing courses and senior/graduate level digital filter design courses, this text is supported by a DSP software package known as D-Filter which would enable students to interactively learn the fundamentals of DSP and digital-filter design. The book includes a free license to...

Physics of Semiconductor Devices

Springer, 2002

Physics of Semiconductor Devices is a textbook aimed at college undergraduate and graduate teaching. It covers both basic classic topics such as energy band theory and the gradual-channel model of the MOSFET as well as advanced concepts and devices such as MOSFET short-channel effects, low-dimensional devices and single-electron transistors. As a...

Digital Filters and Signal Processing in Electronic Engineering: Theory, Applications, Architecture, Code (Woodhead Publishing Series in Optical and Electronic Materials)

Woodhead Publishing, 1998

From industrial and teaching experience the authors provide a blend of theory and practice of digital signal processing (DSP) for advanced undergraduate and post-graduate engineers reading electronics. This fast-moving, developing area is driven by the information technology revolution. It is a source book in research and development for...

Digital Signal Processing with Examples in MATLAB® (Electrical Engineering & Applied Signal Processing Series)

CRC Press, 2011

Based on fundamental principles from mathematics, linear systems, and signal analysis, digital signal processing (DSP) algorithms are useful for extracting information from signals collected all around us. Combined with today’s powerful computing capabilities, they can be used in a wide range of application areas, including...

Hyperspectral Data Processing: Algorithm Design and Analysis

John Wiley & Sons, 2013

Hyperspectral Data Processing: Algorithm Design and Analysis is a culmination of the research conducted in the Remote Sensing Signal and Image Processing Laboratory (RSSIPL) at the University of Maryland, Baltimore County. Specifically, it treats hyperspectral image processing and hyperspectral signal processing as separate subjects in...

MATLAB Machine Learning

Apress, 2016

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.

The book reviews...

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