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durbin
这是个用Durbin递归求预测误差滤波器和他的输出,是电子所邹谋炎老师给出的例程。(This is a demand by Durbin recursive prediction error filter, and his output is of Electronics Zou Mou-Yan teachers given routine.)
- 2007-07-20 11:07:05下载
- 积分:1
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shortest-path-algorithm-matlab
两种比较常见的最短路径的matlab算法 (Two of the more common of the shortest path algorithm matlab)
- 2011-05-11 16:40:29下载
- 积分:1
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Detectors
用于心电信号检测,包括RR波形检测,QRS检测,能量检测模的最大值最小值(ECG for detection, including the RR wave detection, QRS detection, energy detection module Maximum Minimum)
- 2009-03-24 09:35:21下载
- 积分:1
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bianlunyufuzzy
描述变论域模糊控制的重要论文,相信对研究变论域的朋友有帮助(Describe the variable universe fuzzy control of key papers, I believe that the study of variable universe of friends to help)
- 2009-10-20 16:33:46下载
- 积分:1
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SSI
在matlab环境下结构模态参数识别,振型、频率都有很高的精度(Structural modal parameter identification in the Matlab environment, have a high frequency modes accuracy)
- 2021-03-30 17:09:09下载
- 积分:1
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yuzhifa
深度图像遮挡边缘检测,阈值法,MATLAB源码(Depth of the image edge detection block, threshold method, MATLAB source)
- 2011-10-17 14:48:41下载
- 积分:1
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关联维
计算时间序列的关联维,可评价时间序列的相关性(The correlation dimension of time series can be calculated and the correlation of time series can be evaluated)
- 2020-06-16 14:00:01下载
- 积分:1
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gabor
gabor变换——gabor变换能有效的一直字符的噪声,变形、断裂、模糊以及亮度不均匀图像干扰(gabor)
- 2010-10-09 22:33:43下载
- 积分:1
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IIR
买原创力YCL2812开发板时,赠送的源程序,适合做数字信号处理的朋友参考,谢谢!
(Buy originality YCL2812 development board, the gift of the source, suitable for digital signal processing reference to a friend, thank you!)
- 2011-04-28 15:52:39下载
- 积分:1
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EM_GM
% EM algorithm for k multidimensional Gaussian mixture estimation
%
% Inputs:
% X(n,d) - input data, n=number of observations, d=dimension of variable
% k - maximum number of Gaussian components allowed
% ltol - percentage of the log likelihood difference between 2 iterations ([] for none)
% maxiter - maximum number of iteration allowed ([] for none)
% pflag - 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none)
% Init - structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none)
%
% Ouputs:
% W(1,k) - estimated weights of GM
% M(d,k) - estimated mean vectors of GM
% V(d,d,k) - estimated covariance matrices of GM
% L - log likelihood of estimates
%( EM algorithm for k multidimensional Gaussian mixture estimation Inputs: X (n, d)- input data, n = number of observations, d = dimension of variable k- maximum number of Gaussian components allowed ltol- percentage of the log likelihood difference between 2 iterations ([] for none) maxiter- maximum number of iteration allowed ([] for none) pflag- 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) Init- structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) Ouputs: W (1, k)- estimated weights of GM M (d, k)- estimated mean vectors of GM V (d, d, k)- estimated covariance matrices of GM L- log likelihood of estimates)
- 2008-04-27 15:51:27下载
- 积分:1