Posted by **interes** at Oct. 7, 2014

English | 2014 | ISBN: 1848216971 | 132 pages | PDF | 2 MB

This book presents an algorithm for the detection of an orthogonal frequency division multiplexing (OFDM) signal in a cognitive radio context by means of a joint and iterative channel and noise estimation technique.

Posted by **naag** at Dec. 14, 2017

MP4 | Video: AVC 1920x1080 | Audio: AAC 48KHz 2ch | Duration: 39M | 1.38 GB

Posted by **AvaxGenius** at Dec. 7, 2017

English | PDF,EPUB | 2017 (2018 Edition) | 264 Pages | ISBN : 1484232038 | 4.99 MB

Familiarize yourself with the basics of Python for engineering and scientific computations using this concise, practical tutorial that is focused on writing code to learn concepts. Introduction to Python is useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation.

Posted by **First1** at Dec. 5, 2017

English | August 11th, 2017 | ASIN: B074TX351D, ISBN: 0262036630 | 306 pages | AZW3 | 1.70 MB

Picture a computer scientist, staring at a screen and clicking away frantically on a keyboard, hacking into a system, or perhaps developing an app. Now delete that picture.

Posted by **AvaxGenius** at Dec. 3, 2017

English | EPUB | 2015 | 291 Pages | ISBN : 3319200097 | 2.66 MB

This book presents basic ideas of machine learning in a way that is easy to understand, by providing hands-on practical advice, using simple examples, and motivating students with discussions of interesting applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural networks, and support vector machines.

Posted by **AvaxGenius** at Dec. 3, 2017

English | EPUB | 2017 | 348 Pages | ISBN : 3319639129 | 3.13 MB

This textbook presents fundamental machine learning concepts in an easy to understand manner by providing practical advice, using straightforward examples, and offering engaging discussions of relevant applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural networks, and support vector machines.

Posted by **AvaxGenius** at Nov. 28, 2017

English | PDF,EPUB | 2017 | 222 Pages | ISBN : 1484231880 | 4.95 MB

Familiarize yourself with MATLAB using this concise, practical tutorial that is focused on writing code to learn concepts. Starting from the basics, this book covers array-based computing, plotting and working with files, numerical computation formalism, and the primary concepts of approximations. Introduction to MATLAB is useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation.

Posted by **ChrisRedfield** at Nov. 14, 2017

Published: 2006-06-08 | ISBN: 158488584X | PDF | 520 pages | 3.32 MB

Posted by **Landau17** at Nov. 7, 2017

MP4 | Video: 720p | Duration: 1:51:14 | English | Subtitles: VTT | 222.7 MB

Posted by **nebulae** at Oct. 25, 2017

English | ISBN: 3319674366 | 2017 | 121 pages | PDF, EPUB | 10 MB