piotr_toolbox

依据JPEG压缩标准的算法，对lena图像进行压缩，并恢复出原始图像，然后对照原始图像，对恢复出的图像进行客观评价：计算峰值信噪比PSNR及均方误差MSE。(language matlab jpeg picture compress)

中科院的步态数据库 需要的朋友可以下下来看看的 希望对需要的朋友有帮助(The gait of the Chinese academy of sciences need friends can database under it and see what hope to need friends help )

simulink model of zeta converter.try to make it in closed loop. it is for study purpose..

code for bisection method

iris data file for using in matlab

在仿真中通常利用3GPP中的scm信道来模拟MIMO信道，各个scm信道是独立产生，相互之间独立，即相关系数为零。(Often used in the simulation of the 3 GPP SCM channel to simulate the MIMO channel, the SCM channel is independent, independent with each other, the correlation coefficient is zero.)

K最邻近密度估计技术是一种分类方法，不是聚类方法。 不是最优方法，实践中比较流行。 通俗但不一定易懂的规则是： 1.计算待分类数据和不同类中每一个数据的距离（欧氏或马氏）。 2.选出最小的前K数据个距离，这里用到选择排序法。 3.对比这前K个距离，找出K个数据中包含最多的是那个类的数据，即为待分类数据所在的类。(K nearest neighbor density estimation is a classification method, not a clustering method. It is not the best method, but it is popular in practice. Popular but not necessarily understandable rule is: 1. calculate the distance between the data to be classified and the data in each other (Euclidean or Markov). 2. select the minimum distance from the previous K data, where the choice sorting method is used. 3. compare the previous K distances to find out which K data contains the most data of that class, that is, the class to which the data to be classified is located.)

心音信号的DCT域变换压缩编码，LLoyld最佳量化与霍夫曼编码，利用心电R波进行分帧，在不到1 左右失真度的情况下达到了6.0以上的压缩比(Heart sound signals on DCT transform coding, LLoyld optimal quantization and Huffman coding, the use of ECG R wave sub-frame, less than about 1 in the case of distortion to achieve a compression ratio of more than 6.0)

This code is about OLA (overlap Addition method) of Digital Signal. First signal is converted into STFT and after that is recovered back to time domain signal using overlap Addition tecnique

MATLAB is a numeric computation software for engineering and scientific calculations. MATLAB is increasingly being used by students, researchers, practicing engineers and technicians. The causes of MATLAB popularity are legion. Among them are its iterative mode of operation, built-in functions, simple programming, rich set of graphing facilities, possibilities for writing additional functions, and its extensive toolboxes.