bvfreq.m

全向的标定算法，matlab写的，文件比较多。(The calibration of omni-directional algorithm, matlab written)

matlab code for X Steam, Thermodynamic properties of water and steam

We see that HTH matrix is almost diagonal as the off diagonal elements are nearly zero. So we are getting exact estimation in case of PRN INPUT due to diagonality of HTH matrix. As seen that the unknown inpulse response ( h ) and estimated impulse response ( hth ) are coming out to be exactly same. The estimation even gets better for large N .as we get the HTH matrix perfect diagonal. So we come to know that we can estimate the unknown parameters exactly when PRN input is used.

R. Lin and A.P. Petropulu, 揂 New Wireless Medium Access Protocol Based On Cooperation,擨EEE Trans. on Signal Processing, vol. 53, no. 12, pp. 4675-4684, December 2005. (MATLAB code).

Naive Bayes algorithm for data mining

说明：  通过画图找出一个boxcox转换的lambda值(Find out the lambda value of a box Cox transformation by drawing)

生成指定概率分布的随机数，可用于数学与金融的随机分析(Specify the probability distribution of randomly generated number, can be used for the stochastic analysis and financial mathematics)

matlab的m文件，是关于汉明码编码的，文件可以直接运行(matlab m-file is on the Hamming code, files can be run directly)

Smooths a matrix (with/without NaN s) via recursive moving average method and eliminates data gaps. (MOVING_AVERAGE(X,F) smooths the vector data X with a boxcar window of size 2F+1, i.e., by means of averaging each element with the F elements at his right and the F elements at his left. The extreme elements are also averaged but with less data, obviously. Leaving the edges intact. The method is really fast. MOVING_AVERAGE2(X,M,N) smooths the matrix X with a boxcar window of size (2M+1)x(2N+1), i.e., by means of averaging each element with its surrounding elements that fits in the mentioned box centered on it. This one is also really fast. The elements at the edges are averaged too, but the corners are left intact. NANMOVING_AVERAGE(X,F) or NANMOVING_AVERAGE(X,F,1) accept NaN s elements in the vector X the latter interpolates also those NaN s elements surrounded by numeric elements. NANMOVING_AVERAGE2(X,M,N) or NANMOVING_AVERAGE2(X,M,N,1) accept elements NaN s in the matrix X the latter interpolates also those NaN elements surrounded by numeric elements.)

............Two dimensional plot