DPLS_static_abnormal_prediction

Fisher线性判别是线性分类算法中最基本的一种算法，其基本思想是将d维空间中的样本投影到一条最易于分类的投影线上，再进行分类。本文将用使用matlab实现Fisher线性判别算法，并给出４种阈值选择的方法。(Fisher Linear Discriminant is a linear classification algorithm as a basic algorithm, its basic idea is to d-dimensional space of the samples are projected onto one of the most easily classified projector online, and then classified. This article will use matlab to achieve Fisher Linear Discriminant algorithm, and gives four kinds of threshold selection method.)

基于HHT变换的EMD分解程序。通过调用EMD.m的主函数可以解得IMF函数。(HHT in the EMD program, through function call EMD.m can solve for the IMF)

现代控制理论中权威观测器的实现 matlab中用于UI6008数据采集卡的数据采集以及输出的程序 使用方便快捷(Modern control theory in the implementation of the authoritative observer matlab for UI6008 data acquisition card for data acquisition and output procedures using the convenient)

v-blast瑞利信道下的仿真，很经典的一部教程书《Space-time codes and MIMO systems》里面第六章程序(v-blast simulation under Rayleigh channel, it is in a classic tutorial book “Space-time codes and MIMO systems” codes for Chapter VI)

程序给出了0~10发音的语谱图，其中采用分帧函数对信号进行分帧处理然后在用fft算法得到频谱信息，后用灰度图像表示(Program gives the pronunciation of words from 0 to 10 spectra, which employs the signal sub-frame function and then in the sub-frame processing spectral information obtained with the fft algorithm, then said with a gray image)

说明：  一个MATLAB写的BP神经网络原代码(write a MATLAB BP neural network original code!)

集中了kalman,condensation,帧差方法的小球跟踪程序.(concentrated Tracking, condensation, the frame difference of small ball tracking procedures.)

QFSK加高斯噪声后，在0-10dB信噪比下，误码率曲线绘制(After QFSK plus Gaussian noise at 0-10dB SNR, BER curves plotted)

matlab绘制不同概率各种占空比的矩形随机信号的功率谱密度，本人亲自编写，代码精简效率高，且结果准确（网上流传的各种绘制矩形随机信号功率谱密度的matlab代码能画对的极少见...).(matlab draw rectangle with different probabilities of various duty cycle of the power spectral density of random signals, I am personally prepared, the code streamlined efficient and accurate (spread of the Internet to draw rectangles of various random signal power spectral density matlab code to draw on the rare ...).)

说明：  实现多个传感器采集的多通道数据的数据互相关，进行数据融合降维(The data cross-correlation of multi-channel data collected by multiple sensors is realized, and the dimension reduction of data fusion is carried out.)