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try
用于过采样滤波器组实现最优化设计,主要应用于图象处理(For over-sampling filter banks to achieve the most optimized design, mainly used in image processing)
- 2007-10-22 12:31:43下载
- 积分:1
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Powe_Spectrum_Estimation_based_on_AR_model
基于AR模型的现代谱估计,分别实现自相关法,协方差法,Burg法,对比分析性能,及与经典谱估计的比较(AR model based on modern spectral estimation, respectively, to achieve auto-correlation method, covariance method, Burg method, comparative analysis of performance, and comparison of classical spectral estimation)
- 2020-11-07 19:09:48下载
- 积分:1
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Shape-Recognition
這是一個可以自動尋找图像中的長方形, 正方形, 圓形, 菱形的程式(1- Read the RGB (colored) image in from user.
2- Convert image from (RGB) colored to gray image.
3- Threshold the image (convert gray image to binary image).
4- Invert the binary image (in order to speed up the time of processing).
5- Find the boundaries concentrate.
6- Determine shapes properties (ratio of dimensions, roundness).
7- Classify shapes according to its properties. )
- 2009-04-11 14:58:22下载
- 积分:1
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GWO
说明: Grey Wolf Optimizer MATLAB code for doing optimize your project
- 2019-02-26 03:01:42下载
- 积分:1
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enter_distributions_commands
This functions handles callbacks from the enter_distributions GUI
- 2010-02-09 08:15:12下载
- 积分:1
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oneD_convection_mfiles
upwind1D Upwind difference coefficients for 1D advection-diffusion equation
- 2010-02-19 00:57:30下载
- 积分:1
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zuoye4
用FAMALE.TXT、MALE.TXT的数据作为本次作业使用的样本集,利用C均值聚类方法对样本集进行聚类分析,对结果进行分析.(Use FAMALE. TXT, MALE. TXT data as the assignment is to use the data sets, using the c-means clustering method of the sample set clustering analysis, the analysis of the results.
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- 2011-07-25 17:45:44下载
- 积分:1
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image_resample.m
image resampling matlab coding(it is about resampling image)
- 2015-04-20 10:13:33下载
- 积分:1
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wavlet1
基于matlab小波变换实现的图像压缩
(通过mask截取小波变换系数)(Wavelet Transform Image Compression)
- 2010-06-02 16:57:59下载
- 积分:1
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gcsSVMcgForRegress
基于高斯扰动的布谷鸟算法优化svr网络结合libsvm工具包可进行回归预测(Svr network optimization toolkit can be combined with libsvm regression prediction algorithm based on Gaussian disturbance cuckoo)
- 2021-03-04 23:19:31下载
- 积分:1