-
xindian
一种利用matlab软件处理心电信号的方法，是初步的处理(Matlab software using the method of ECG is the initial treatment of)
- 2009-04-27 10:54:37下载
- 积分：1
-
prec_rec
说明： 画出函数的ROC曲线，precision/recall 曲线(function [prec, tpr, fpr, thresh] = prec_rec(score, target, varargin)
PREC_REC- Compute and plot precision/recall and ROC curves.)
- 2011-03-29 20:46:34下载
- 积分：1
-
Reversible_Jump_MCMC_Bayesian_Model_Selection
This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar -xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
(This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar-xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
)
- 2008-03-07 23:23:12下载
- 积分：1
-
LFM_win_time
this file do LFM compression with time domain weighting for reducing the time side lobe
- 2013-08-17 16:53:55下载
- 积分：1
-
Pade-Approximation---won-young-yang
the source is in the "Applied Numerical Methods Using MATLAB-Won Young Yang, Wenwu Cao, Tae-Sang Chung, John Morris-Wiley-Interscience (2005)"
- 2013-10-20 15:23:41下载
- 积分：1
-
ssim
ssim structural similary measure
- 2011-05-05 02:46:42下载
- 积分：1
-
Code_Pudn
IMAGE ENHANCEMENT METHODS, ACTIVE CONTOUR WITHOUT EDGES, MANUAL THRESHOLD CODES
- 2012-05-02 23:00:45下载
- 积分：1
-
pcnn
利用pcnn，每当有一批像素对应的神经元点火，对像素值进行一次修正。第n次点火的所有神经元用矩阵B（n）表示，
已经点火的像素位置标记为‘1’，未点火的标记为‘0’。通过一个3*3的模板滑过B（n），判断若模板内的值全为‘1’或全为‘0’，
则这些像素值不进行处理，否则若模板中心的值为‘1’，则增加该位置的像素值的大小，中心值为‘0’，则减小像素值。该功能由xiugai(B,K)函数实现
Beta取负值来抑制周围的神经元点火，因为输入pcnn（X）的是模糊图像，抑制之后使处理的像素值更加接近原图像的像素值（抑制参数通过试验确定，并不精确）
总之运行结果只是对像素值变化较大的边缘区域进行了像素值的修正。
通过不断调整参数使峰值信噪比有所升高，但是升高得不是太多(Use pcnn, whenever a group of pixels corresponding to the firing of neurons, a correction value for the pixel. Ignition of all the n-th neuron matrix B (n) represents,
Already ignition pixel position labeled 1 , unfired labeled 0 . By a 3* 3 templates over the B (n), determines if the value within the template are all 1 or all 0 ,
These pixel values are not processed, otherwise the value if the template center 1 , then the increase in the size of the pixel values of the position, the center value of 0 , the pixel value is reduced. This function is implemented by xiugai (B, K) function
Beta is a negative value around the element to inhibit neuronal firing, because the input pcnn (X) is a blurred image, the pixel values of inhibition after treatment of the pixel value closer to an original image (suppression parameter determined by experiment, is not exact)
Results only in short run large changes in the edge region of the pixel values of the corrected pixel values.
)
- 2014-12-01 09:16:42下载
- 积分：1
-
Wind_PMSG
matlab code for PMSG based Wind Power Generation System
- 2015-02-05 13:31:45下载
- 积分：1
-
PID-controller-experiments
文件夹介绍计算机控制系统的PID两个实验，从数字信号的处理的方式，用调节三个控制参数的值从而实现系统控制的稳定。(Folder describes the PID of the two experiments of the computer control system, digital signal processing, system control to adjust the three control parameters values in order to achieve stable.)
- 2012-08-07 22:34:59下载
- 积分：1
