M_5_1_Big

用PTS降低PAPA的仿真源代码,试过了不错,是转发的(PTS reduce the simulation with the source code PAPA)

猫脸变换用于水印中，将水印图像经过一定次数的变换得到不能识别的图像，增强了水印的鲁棒性(Cat face transform for watermarking, the watermark image after a certain number of times the transform of the image does not recognize and enhance the robustness)

说明：  面波数值模拟，交错网格法高阶有限差分数值模拟算法(Surface wave numerical simulation)

color thresholding. this code very usefull

Adds noise to processes x1(n) and x2(n), at SNR=snr, using seeds s1 and s2.(Adds noise to processes x1 (n) and x2 (n), at SNR = snr, using seeds s1 and s2.)

用于信道均衡的RLS算法，可用于水声信道的改进算法(RLS algorithm for channel equalization, the improved algorithm can be used for underwater acoustic channel)

该源码是用MATLAB语言编写，目的是实现序列特征选却和RBF网络功能(The source code is written in MATLAB language, purpose is realized and the RBF network function is selected sequence characteristics)

This paper review the effectiveness of the parity space approach to identify faults or disturbance in a system. The most commonly used is the observer based procedures, and redundancy relationship method. This involves analytical mathematical analysis of geometry and bilinear algebra. Then, technological advances which require complex computation such as artificial intelligence and genetic algorithm had made tremendous improvement to fault Detection and Isolation (FDI) analysis. Dynamic Parity Space Approach was studied for a discrete state-space model. Important data will be extracted using this approach especially for residual generation which is the backbones of FDI analysis. Subsequently, at each time instant k, the generated residuals will form a matrix that will define the fault signature. It is remarkable that this approach is proven in this study to be effective in diagnosis and faults isolation.

说明：  RS码的C实现，通过mex接口，在MATLAB中创建的LTE下行链路中测试，可跑出误码率曲线。(RS code is implemented in C, by mex interface, LTE downlink created in MATLAB test can be run out of BER curves.)

This set of MATLAB files contain an implementation of the gradient projection algorithms described in the paper "Gradient Projection for Sparse Reconstruction: