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3898238942894zhiwen
基于matlab的指纹库指纹识别设计，matlab源码和指纹库。(Matlab-based fingerprint identification fingerprint database design, matlab source code and fingerprint database.)
- 2013-11-07 15:24:18下载
- 积分：1
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HFT-Code
MATLAB中实现HFT算法，得到显著图(HFT algorithm implemented in MATLAB, has been significantly Figure)
- 2020-10-11 17:47:32下载
- 积分：1
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music_myself
本人独创MUSIC算法
对初学者有很大帮助~
大家自己下下看吧(Original MUSIC algorithm I am very helpful for beginners ~ we all Look under the following)
- 2010-10-28 22:48:34下载
- 积分：1
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moxing
基于条纹反射的三维形貌测量技术中，由MATLAB建立的非远心光路下的条纹反射系统模型。程序中带有注释。(3-d topography measurement based on fringe reflection of technology, set up by MATLAB stripe reflection not under the telecentric light path system model. In the program with comments.)
- 2014-12-30 13:46:53下载
- 积分：1
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QPSK
QPSK系统的simulink仿真，包括PCM编码、误码率统计以及星座图显示(Simulink simulation of the QPSK system, including PCM coding, bit error rate statistics and the constellation graph display)
- 2015-01-21 15:22:25下载
- 积分：1
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soumekh
说明： matlab的程序多种供您选择！希望大家能借鉴！对你会友帮助的。(Matlab procedures for a variety of your choice! Hope we can learn from! Friends of you will help.)
- 2006-04-12 13:15:59下载
- 积分：1
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LFLuo_3
Lou distribution power flow 3
- 2015-01-04 17:40:55下载
- 积分：1
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stprtool
Statistical Pattern Recognition Toolbox for Matlab，Technical University Prague
- 2011-06-04 23:42:24下载
- 积分：1
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Array_antenna_study
阵列分析与综合入门代码，含比较好的绘图模块(Array analysis with the entry code, with better graphics module)
- 2013-03-04 17:50:37下载
- 积分：1
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sons
Compressive sensing (CS) has been proposed for signals with sparsity
in a linear transform domain. We explore a signal dependent
unknown linear transform, namely the impulse response matrix operating
on a sparse excitation, as in the linear model of speech production,
for recovering compressive sensed speech. Since the linear
transform is signal dependent and unknown, unlike the standard
CS formulation, a codebook of transfer functions is proposed in a
matching pursuit (MP) framework for CS recovery. It is found that
MP is efficient and effective to recover CS encoded speech as well
as jointly estimate the linear model. Moderate number of CS measurements
and low order sparsity estimate will result in MP converge
to the same linear transform as direct VQ of the LP vector derived
the original signal. There is also high positive correlation between
signal domain approximation and CS measurement domain
approximation for a large variety of speech spectra.
- 2020-12-03 13:19:24下载
- 积分：1
