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bianyuanjiance
此算法是基于小波变换模极大的多尺度图像边缘检测(this algorithm is based on the wavelet transform modulus maxima Multiscale Edge Detection)
- 2007-07-08 11:09:08下载
- 积分：1
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MMC_CPS_Three_Phase_01
matlab 逆变器，用simulink编程，适合初学者模仿学习使用。(simulink inverter for starter)
- 2021-01-18 11:28:43下载
- 积分：1
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eas
a function to find auto correlation
- 2010-09-07 01:36:14下载
- 积分：1
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HOFFMAN
霍夫曼coding程序，用此程序可以对任意图像进行霍夫曼编码。(Huffman coding procedures, this procedure can be used for any image Huffman coding.)
- 2020-11-10 15:19:46下载
- 积分：1
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ZSource-inverter_Maximum-boost-control
Z-Source Inverter with maximum Boost Control
- 2014-08-08 17:56:42下载
- 积分：1
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CalculatingBeatRateOfHeart
calculating beat rate of heart using DWT in Matlab
- 2009-06-07 23:59:05下载
- 积分：1
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sda
MATLAB构建的三段比幅式距离保护模型
内涵保护模块 S函数模块 (MATLAB built three-spoke distance protection model content protection module S function modules)
- 2012-05-18 14:27:40下载
- 积分：1
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keystonemy
进行的梯型变换，解决距离徙动校正，多普勒方向，和快时间方向。(The ladder to transform, solve the range migration correction, Doppler direction, and fast-time direction.)
- 2011-04-30 14:07:56下载
- 积分：1
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kPCA_v2.0
Principal component analysis (PCA) is a popular tool for linear dimensionality reduction and feature extraction. Kernel PCA is the nonlinear form of PCA, which is promising in exposing the more complicated correlation between original high-dimensional features. In this paper, we first talk about the basic ideas of PCA and kernel PCA, and then focus on the reconstruction of pre-images for kernel PCA. We also give an introduction on how PCA is used in active shape models (ASMs), and discuss how kernel PCA can be applied to improve traditional ASMs. Then we show some experiment results to compare the performance of kernel PCA and traditional PCA for pattern classification. We also implement the kernel PCA-based ASMs, and use it to construct human face models.
- 2020-09-20 10:47:53下载
- 积分：1
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AGC_sourcecode
自动增益控制AGC的Matlab源码，其中注释部分对原理进行了详尽的介绍(AGC source code for audio gain control, details has been gaven in the comments)
- 2021-01-26 20:58:40下载
- 积分：1
