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App
file for speech recognition
- 2010-05-27 05:45:19下载
- 积分:1
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mysubplot
构建自己的subplot函数,比matlab好用多了,自由控制(Build your own subplot function, easy to use more than matlab, free control)
- 2011-08-22 15:22:21下载
- 积分:1
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SSeparately_be
基于小波变换的分开—合并图像分割matlab.采用多尺度小波变换系数作为四分树结构的分开一合并法图像分割的一致性度量 从而在大的图像块中。。去除噪声的影响,在小的图像块中,以小波变换的局部极大值精确定位边缘,根据边缘信息进行分开一合并法图像分割 .实验表明.算法得到满意的结果 .
(Separately based on wavelet transform- merge image segmentation Matlab. Multi-scale wavelet transform coefficients as the quadtree structure separate consolidation method of image segmentation consistency measure large image block. . To remove the effects of noise, in small image blocks, the local maxima of the wavelet transform precise positioning edge, to separate a combined method for image segmentation according to the edge information. Experiments show. Algorithm to obtain satisfactory results.)
- 2012-09-30 19:33:45下载
- 积分:1
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fangboxiaozao
产生一个含噪声矩形波,用小波分析和傅里叶变换分析进行信号噪声消除并比较两者的去噪声能力。(Produce a rectangular wave Noisy, wavelet analysis and Fourier transform analysis of signal-to-noise cancellation and compare the ability of both to noise.)
- 2012-10-01 12:32:36下载
- 积分:1
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TSP
总结的混合粒子群算法、蚁群算法、遗传算法求TSP(旅行商问题),值得看一看(Summary hybrid particle swarm optimization, ant colony algorithm, genetic algorithm for TSP (traveling salesman problem), it is worth a look)
- 2013-12-31 20:15:58下载
- 积分:1
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ESPRITDemo
is an algorithm in signal processing
- 2010-12-15 03:37:23下载
- 积分:1
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RSSI-location-MATLAB-code
本代码是基于RSSI的无线定位代码,包括PPT和论文说明,代码里边还好有GUI仿真代码。(
The code is based on the RSSI of wireless location code, including PPT and papers instructions, but fortunately there are GUI code inside the simulation code.)
- 2014-10-16 08:42:14下载
- 积分:1
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final-given
This is a code for Dynamic Stochastic Resonance for image denoising
- 2015-06-02 02:55:45下载
- 积分:1
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1
说明: MATLAB程序,用于dsp编程软件仿真,信号的产生,fft变换(MATLABghdsp)
- 2009-12-10 20:55:21下载
- 积分:1
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laplacian_eigen
Laplacian Eigenmaps [10] uses spectral techniques to perform dimensionality reduction. This technique relies on the basic assumption that the data lies in a low dimensional manifold in a high dimensional space.[11] This algorithm cannot embed out of sample points, but techniques based on Reproducing kernel Hilbert space regularization exist for adding this capability.[12] Such techniques can be applied to other nonlinear dimensionality reduction algorithms as well.
- 2011-01-23 02:17:08下载
- 积分:1