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exp2
svpwm 模型实例，希望大家给出意见 (SVPWM model as an example, hope everyone give advice
)
- 2012-04-07 12:51:55下载
- 积分：1
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Gabor
matlab编程 基于颜色和纹理的图像检索系统(matlab programming based on the color and texture of the image retri system)
- 2015-03-19 09:51:45下载
- 积分：1
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yichuansuanfahanshuyouhua
对遗传算法思想的理解和认识,对一个函数求其最小值，采用遗传算法的交叉，变异等特征进行优化求解(Genetic algorithms for understanding and awareness of thoughts, seeking the minimum of a function, using genetic algorithm crossover and mutation characteristics of the optimal solution)
- 2010-11-09 15:15:02下载
- 积分：1
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cntrd
compute centroid of a set of points
- 2011-12-03 04:33:28下载
- 积分：1
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lfsr
1）利用CC++语言实现给定的LFSR；
2）通过不同初始状态生成相应的序列，并观察它们的周期有什么特点；
3）利用生成的序列对文本进行加/解密（按对应位作模2加运算）。
给定的LFSR为：(1) the use of C C++ language given LFSR
2) to generate the corresponding sequences by different initial state, and observe what are the characteristics of their cycle
3) using the generated sequence of text encryption/decryption (press the corresponding bit for modulo-2 addition operation).
LFSR given as follows:)
- 2015-12-14 16:26:56下载
- 积分：1
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wavelet
此程序用提升法实现第二代小波变换
用的是非整数阶小波变换
采用时域实现,步骤先列后行
正变换：分裂，预测，更新；
反变换：更新，预测，合并
只做一层（可以多层，而且每层的预测和更新方程不同）(This procedure achieved by lifting the second generation wavelet transform with a non-integer order wavelet transform time-domain realization of transformation steps, then over are: split, predict, update inverse transform: Update, forecasting, consolidation only a layer of ( can be multi-layer, and each prediction and update equations are different))
- 2010-09-27 10:33:43下载
- 积分：1
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SRACLS_Centering_pc
spectral residual augmented classical least square source code
- 2014-10-09 07:52:06下载
- 积分：1
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xiaobo1
sin函数的简单一维小波变换与一维傅里叶变换的比较算法(sin function with a simple one-dimensional wavelet transform one-dimensional Fourier transform of the comparison algorithm)
- 2013-10-03 09:49:42下载
- 积分：1
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battery
使用simulink对电池进行仿真。比较适合初学者，能提供一点的帮助。(Simulink simulation using the battery. More suitable for beginners, to provide a little help.)
- 2015-08-27 10:43:44下载
- 积分：1
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finknudem-(2)
Scale-invariant feature transform (or SIFT) is an algorithm in computer vision to detect and describe local features in images. The algorithm was published by David Lowe in 1999.[1]
Applications include object recognition, robotic mapping and navigation, image stitching, 3D modeling, gesture recognition, video tracking, individual identification of wildlife and match moving.
The algorithm is patented in the US the owner is the University of British Columbia.
- 2014-10-15 13:10:02下载
- 积分：1
