hyperspectral-image-compression

程序展示了bayes classifier对于连续数据的应用，假设数据均服从高斯分布。程序包含了binary classification和multi-classification的例子。(Program shows bayes classifier for continuous data applications, assume that the data are Gaussian. Program includes a binary classification and multi-classification examples.)

codes for erp lab. a lot of functionalities foe eeg

说明：  八向链码程序，比较有用，在MATLAB环境下使用(Eight to chain code process, more useful, in the MATLAB environment)

有用的SGA的Matlab源代码，求函数的最大值，根据SGA的C代码改变，很容易懂，对SGA 学习很有帮助(useful SGA Matlab source code, the maximum demand function, According to the SGA C code change, it is easy to understand and very helpful to SGA)

About Kalman Filter/control system

说明：  根升余弦函数，主要用在调制时的成型时使用(Root raised cosine function, mainly used in modulation used at the time of molding)

改程序为matlab代码，其内容为实现基于信息最大化的盲源分离算法。该算法主要应用于图像处理，语音信号处理及雷达信号处理当中。(Reform program for the matlab code, which reads the information-based blind source separation algorithm to maximize. The algorithm is mainly used in image processing, speech signal processing and radar signal processed.)

小波变换进行变速箱故障诊断 首先将s1和s2信号时域谱（s1代表维修前的振动信号，s2代表维修后的振动信号），画出来进行对比，会发现s1信号的振动幅值会比较高；然后对s1和s2分别进行小波分解并画出各层的时域谱，只对比s1和s2分后的最高时域谱，s2更加的具有周期性，且幅值较小，s2周期性不够明显，且振动过于密集。分析完时域谱后开始分析频谱，首先对原信号s1和s2fft转换，得到频谱图，如图，然后再对小波分析后高频部分进行fft转换，做出频谱图。对比后我们发现，在f 2375HZ出（也就是齿轮的啮合频率），s1信号频谱幅值会有急剧的升高，然后，其谐波的幅值也会增大。所以可以推断出该维修前的增速箱的齿轮可能出现问题。(Gearbox fault diagnosis based on wavelet transform s1 and s2 first time domain signal spectrum (s1 behalf of the vibration signal before maintenance, vibration signal s2 representative of repaired), drawn comparison, you will find a signal s1 vibration amplitude will be higher then s1 and s2 respectively wavelet decomposition and draw the layers of time-domain spectrum to only a maximum time domain spectroscopy s1 and s2 points after, s2 is more cyclical and smaller magnitude, s2 cyclical enough obviously, and the vibration is too dense. End domain spectral analysis after the beginning of the spectrum analysis, the first of the original signal s1 and s2fft conversion to give the spectrum, as shown, and then after the high frequency part of wavelet analysis fft transformation to make spectrum. We found that after the comparison, at f 2375HZ out (i.e. the gear mesh frequency), there will be a sharp increase in the amplitude spectrum of the signal s1, and then, the amplitude of the ha)

分别仿真16阵元的十字阵列、线阵、面阵和圆阵的LS算法的方向图，对阵列信号处理的同学有帮助。(Simulation 16, respectively, the cross element array, linear array, planar array and the circular array pattern LS algorithm, array signal processing to help students.)

包含光伏电池模块、MPPT模块、BOOST模块、逆变模块，是一种双隐层反向传播神经网络，可以广泛的应用于数据预测及数据分析。( PV modules contain, MPPT module, BOOST module, inverter module, Is a two hidden layer back propagation neural network, Can be widely used in data analysis and forecast data.)