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SVM-Matlab
matlab写的SVM分类,tranning和test分开,可直接使用。(matlab write SVM classification, tranning and test separately, can be used directly.)
- 2010-09-16 21:21:55下载
- 积分:1
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projT
Filtro LC para PWM jhagyusagyuegae
- 2009-12-06 01:38:16下载
- 积分:1
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232432543534534
pid控制程序,基于matlab环境开发,开自行修改(matlab)
- 2009-06-07 09:21:34下载
- 积分:1
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weibull
这是雷达幅度符合韦布尔分布的杂波仿真程序,功率谱为高斯谱,时域上分为I、Q两路。(This is consistent with the Weibull distribution range radar clutter simulation program, power spectrum for the Gaussian spectrum, the time domain is divided into I, Q two.)
- 2008-07-16 19:38:48下载
- 积分:1
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heart500
基于mit数据库的时域心率算法,阈值自动更新,心率自动计算。(Mit database based on time-domain heart rate algorithm, the threshold value is automatically updated, heart rate calculated automatically.)
- 2013-09-21 21:03:49下载
- 积分:1
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code
computer program capable of reducing the number of intensity levels in an image 256 to 2
- 2014-11-13 21:56:35下载
- 积分:1
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my-matlab_LMS
Matlab code for adaptive filter this folder contains two functions and main programs
- 2013-11-30 20:15:58下载
- 积分:1
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Simulation-procedure
Our project is to describe the Brownian Motion and Geometric Brownian Motion. This project is to simulate the price shock. Then we use Geometric Brownian motion to describe the movement of shocks’ price. The program is produced by Matlab.(Application of Ito’s Lemma to a Stock Price Process)
- 2013-11-23 11:43:12下载
- 积分:1
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1
说明: HFSS在MATALAB中的应用,很好的应用教材(HFSS 3D modeling applications in Matlab)
- 2009-09-17 10:44:40下载
- 积分:1
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Audio Systems Toolbox
基于麦克风阵列的声源定位方法很多,相位变换加权的可控响应功率SRP-PHAT声源定位算法在混响环境中有较强的鲁棒性,可实现真实环境中的声源定位,因此该算法得到了广泛应用。SRP-PHAT对阵型没有特定要求,因此也适用于分布式阵列,事实上很多基于分布式阵列的定位系统采用了该算法。(This function creates an acoustic image from a set of microphone array signals using a steered response power (SRP algorithm).This particular version uses only integer shifts on the input signals for the delay and sum operation, and computes the coherent average power (rather than total average power), which does not include the power terms for each individual microphone signal. So the coherent power is effectively the cross-correlation between different microphone signals without the self power terms, and can therefore be negative.)
- 2018-12-10 22:45:48下载
- 积分:1