fuzyPID

说明：  改进的HS算法,使用3*3加权平均模板，可以提高光流计算精度。(Improved HS arithmetic )

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)

Beamforming using Leas Mean Square

FBMC/ OQAM 利用多相滤波器和IFFT快速傅里叶变换实现的FBMC基本结构。具有良好的性能。(FBMC/OQAM. polyphase filter and IFFT Fast Fourier transform of the basic structure of FBMC. Good performance.)

this is the Z transform matlab code

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)

说明：  十大经典的机器学习算法--EM算法的MATLAB实现(Ten classic machine learning algorithms--EM algorithm MATLAB realization)

rainbow option.m in the matlab to compute the value of bariier option (to compute the rainbow option an others)

Process for Modulation type recognization system

一个9输入4输出的矩阵，利用BP神经网络训练并预测。通过不断的调试获取最可靠地输出。(A 9-input 4-output matrix, using BP neural network training and prediction. Continue to debug access to the most reliable output.)