wavelet-and-matlab

脉冲编码调制程序，采用A律和u律，可在GUI中显示变换前后波形区别并播放声音。(A Pulse Code Modulation program based on A-law and u-law. Can display in the GUI waveform before-and-after difference and play the sound.)

Matlab小波去噪程序，原创程序，很完整。(Matlab wavelet denoising procedure, original proceedings, it is complete.)

LDPC的检验矩阵的生成，编码和译码过程。(The process of LDPC codes generating,encoding and decoding.)

The method mainly consists in considering a reference normal ECG segment and input ECG (unknown behavior) segment. Each segment of the input ECG T is compared to the reference segment using SEA. The SEA method outputs a measure in the range [0..1] in terms of the correlation factor that reflects the degree of similarity between the reference and the segment under analysis. Based on this measure, the whole segment is classified as normal or abnormal. A user specified threshold value on the correlation factor c is used for decision

Tutorial to design JTAPI applications

This Matlab code calculates the Rand Index and Adjusted rand Index between two clustering groups. The two input clusters has to be in the form of a structure as shown in the example mat file ( A and B ) attached in the folder. The code calculates the contingency table among the cluster and then calculates the Rand Index and Adjusted Rand Index. Using the value of the indices one can know about the similarity of the clustering group

基于Matlab的指纹识别，里面主要运用Jabot进行指纹提取(Matlab-based fingerprint identification, which mainly make use of Jabot fingerprint extraction)

CONVERTING FIGURES TO MATRIX IN MATLAB

3 plane wave to solve band structure

This is a simple program to calculate the output of artificial neural network (ANN) using microcontroller ATMega 32. Assume that the neural architecture is : 2 hidden layers with 4 and 2 neurons respectively and 1 layer output with 1 neuron.This program explains the step how to compute the ANN in off-line mode.Means the weights and biases are already exist (microcontroller is not doing the learning steps). These parameters are produced using MATLAB. Therefore, we have already made the appropriate architecture using MATLAB. The tansig function is use in both of hidden layer. Finally, the neural output will be displayed on LCD port C.