svpwm technique as a control stratergy for more Efficient and less harmonic operation of motors.
標(biāo)簽： stratergy Efficient operation technique
上傳時(shí)間： 2017-06-22
上傳用戶：huql11633
Libsvm is a simple, easy-to-use, and Efficient software for SVM classification and regression. It solves C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-SVM regression. It also provides an automatic model selection tool for C-SVM classification. This document explains the use of libsvm.
標(biāo)簽： classification easy-to-use regression and
上傳時(shí)間： 2017-06-24
上傳用戶：253189838
This is an Efficient implementation of the algorithm for calculating the universal image quality index
標(biāo)簽： implementation calculating algorithm Efficient
上傳時(shí)間： 2017-07-07
上傳用戶：guanliya
This also a nice paper about Synchronization and Channel Estimation in OFDM Algorithms for Efficient Implementation of WLAN Systems
標(biāo)簽： Synchronization Algorithms Estimation Efficient
上傳時(shí)間： 2017-07-14
上傳用戶：qoovoop
The Kalman filter is an Efficient recursive filter that estimates the state of a linear dynamic system from a series of noisy measurements. It is used in a wide range of engineering applications from radar to computer vision, and is an important topic in control theory and control systems engineering. Together with the linear-quadratic regulator (LQR), the Kalman filter solves the linear-quadratic-Gaussian control problem (LQG). The Kalman filter, the linear-quadratic regulator and the linear-quadratic-Gaussian controller are solutions to what probably are the most fundamental problems in control theory.
標(biāo)簽： filter Efficient estimates recursive
上傳時(shí)間： 2017-08-06
上傳用戶：風(fēng)之驕子
Libsvm is a simple, easy-to-use, and Efficient software for SVM classification and regression. It solves C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-SVM regression. It also provides an automatic model selection tool for C-SVM classification. This document explains the use of libsvm.
標(biāo)簽： classification easy-to-use regression and
上傳時(shí)間： 2013-12-21
上傳用戶：zuozuo1215
This article describes a new Efficient implementation of the Cooley-Tukey fast Fourier transform (FFT) algorithm using C++ template metaprogramming. Thank to the recursive nature of the FFT, the source code is more readable and faster than the classical implementation. The efficiency is proved by performance benchmarks on different platforms.
標(biāo)簽： implementation Cooley-Tukey describes Efficient
上傳時(shí)間： 2013-12-23
上傳用戶：netwolf
Peak transform. Reference: Peak Transform for Efficient Image Representation and Coding
標(biāo)簽： Peak Representation Efficient transform
上傳時(shí)間： 2014-12-22
上傳用戶：努力努力再努力
bredth first search is an Efficient searching algorithm
標(biāo)簽： algorithm Efficient searching bredth
上傳時(shí)間： 2013-12-14
上傳用戶：yyq123456789
depth first search is an Efficient searching algorithm
標(biāo)簽： algorithm Efficient searching search
上傳時(shí)間： 2014-01-01
上傳用戶：225588
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