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face
人脸识别的matlab程序,不过是一个主程序界面,要是用的话还得调用很多的子程序(Face recognition matlab program, but is a main program interface, if used, then have to call a lot of subroutines)
- 2007-10-14 16:29:43下载
- 积分:1
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Quantizationmatlab
矢量量化 含说明文档和源码和图像 值得下载(Vector quantization with documentation and source code and image is worth downloading)
- 2007-12-30 21:51:03下载
- 积分:1
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chopperD
chopper d simulution with matlab matlab matlab matlab matlab m
- 2013-05-07 23:14:53下载
- 积分:1
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autocorrelazione
Autocorrelation speech signal for matlab. Computes the f0 frequency.
- 2009-10-30 07:49:33下载
- 积分:1
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3-Phase-sag-Generator
This is a simulation model of 3 phase sag generator and can be used to generate sags for testing Power System Stabilizers
- 2015-03-16 19:53:43下载
- 积分:1
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Capacitive-equipment
电容型设备绝缘在线监测与故障诊断的研究 电力系统在线监测技术(Capacitive type equipment insulation online monitoring and fault diagnosis research)
- 2014-02-13 17:12:16下载
- 积分:1
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Comparison_of_ed_Rayleigh_vs_awgn
compares ed for different wireless channels
- 2014-01-24 16:05:11下载
- 积分:1
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WIM2_ITU_ChannelModel_ver4
The channel modeling work package WP1 of IST-WINNER project provided a Matlab implementation of
the WINNER Phase II Model (referred as WIM this onward). The main purpose of the WIM channel
models is to generate a radio channel realisations for a link and system level simulations. The
implementation is based on the earlier implementations of WINNER II interim model [6], WINNER I
(interim) model [3], 3GPP/3GPP2 Spatial Channel Model (SCM) [4] and SCM(E) Extension models. For
details concerning the WIM model, please refer to [1]. This document describes the SW implementation
structure of WIM, its input/output interface and its functionality. Channel model scenarios and parameters
are modified to correspond to IMT.EVAL [7] channel model.
- 2020-09-02 14:58:08下载
- 积分:1
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Based-on-wavelet-transform-modulus
基于小波变换模极大的多尺度图像边缘检测matlab源代码(Based on wavelet transform modulus maxima of multi-scale edge detection matlab source code)
- 2010-05-19 14:41:01下载
- 积分:1
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sparseBSS1
稀疏分量分解。
function [y A]=sparseBSS1(X,L,langda,G,h,delta)(function [y A]=sparseBSS1(X,L,langda,G,h,delta)
----------------------------------------------------------------
2009-04-15 YangZhicong
X: observed signal,each row correspond to a sensor observations
L: the length of FFT (or the length of Hanning window)
langda: adjust the desired angular width
G: discretize the potential field by taking a sample of G points
h: threshold
y: estimated sourses
A: estimated mix matrix
)
- 2010-05-27 10:22:17下载
- 积分:1