liyapanuofu

Double Density Wavelet Soft

Crank_Nicolson隐式解法，关于一位热传导的(Crank_Nicolson implicit solution, on a heat conduction)

用matlab设计FIR维纳滤波器 假设一个点目标在x，y平面上绕单位圆做圆周运动，由于外界干扰，其运动轨迹发生了偏移。其中，x方向的干扰为均值为0，方差为0.05的高斯噪声；y方向干扰为均值为0，方差为0.06的高斯噪声。用该滤波器处理观测信号，得到其最佳估计。(FIR Wiener filter design using matlab Suppose a point target in the x, y plane around the unit circle in a circular motion due to external interference, its trajectory shift occurred. Which, x the direction of the interference of mean 0 and variance of 0.05 Gaussian noise y direction of the disturbance is zero mean Gaussian noise variance 0.06. Observed with the filter processing signal, to get the best estimate.)

一些经典的例子，对初学MATLAB的同事可能带来帮助(matlab)

分数阶余弦变换的计算的MATLAB程序。(Fractional cosine transform calculation of the MATLAB program.)

说明：  matlab BP网络测试和训练都在里面(matlab BP network testing and training both inside)

此MATLAB程序用于自相关函数的估计（包括直接法和FFT法），信号的频率估计（包括MUSIC, ROOTMUSIC，ESPRIT和MVDR）和功率谱的估计（包括LevinsonDurbin迭代法，BT法和周期图法），并附带相应的仿真图以便于对比(MATLAB for correlation estimate :direct and FFT transform frequency estimate of signals:MUSIC, ROOTMUSIC，ESPRIT和MVDR power spectrum estimate : LevinsonDurbin and BT,corresponding figures are accompanied to compare)

computes incidence matrix from edge matrix

经典的光流算法，matlab编写，希望对初学者有帮助(Optical flow algorithm)

机器学习中的垃圾邮件分类程序，用matlab做的。从以下链接下载垃圾邮件数据（spam data）：(数据已下载，放在spambase.zip) http://www-stat.stanford.edu/~tibs/ElemStatLearn/index.html 该数据包含57个邮件信息相关的变量，每条邮件可以被分类为垃圾邮件（Y=1）和非垃圾邮件（Y=0）。输出Y的值在文件中每一列的末尾。练习的目标是要预测电子邮件是否为垃圾邮件。 (Machine Learning spam classification procedures, using matlab to do. Data (spam data) from the following link to download the junk mail: (data has been downloaded, put spambase.zip) http://www-stat.stanford.edu/ ~ tibs/ElemStatLearn/index.html The data includes 57 e-mail messages related variables, each message can be classified as spam (Y = 1) and non-spam (Y = 0). Y value of the output end of each column in the file. The goal is to predict exercise email is spam.)