y_bus_formation

包括四个MATLAB的基本算例程序，实用安全放心 (Includes four basic example MATLAB program, practical security assured)

说明：  在Visual C++中调用matlab中定义的函数，可以方便利用matlab的资源(Calling Matlab defined in the function, Matlab can facilitate the use of resources)

输入一个脉冲响应文件，可以测得房间混响时间T20 T30(Enter a pulse response file, can measure the room reverberation time T20 T30)

说明：  EEG处理过程中用到的一些程序，如预处理，特征提取等(EEG processing some of the procedures used, such as preprocessing, feature extraction)

the codes which i sent contains matlab code for encryption using 4 out of 8 code,binary to decimal conversion,decimal to binary conversion,subband coding,upsampling.

1D CNN和2D CNN网络的仿真实现，包含完整的子函数分解，采用matlab编写(demo_cnn_auto- demo for Autonomous CNNs with a symmetric A template solve_cnn2d- solve a 2D CNN system, Euler method solve_cnn2d_multi- solve a 2D multi-layered CNN system, Euler method Utility routines make_cnn_params- check and update the CNN params structure make_cnn_params_multi- check and update the multi-layer CNN params structure make_cnn_time- check and update the CNN time structure step_ahead1- advance a 1D CNN state one step forward, Euler method step_ahead2- advance a 2D CNN state one step forward, Euler method unit_sat- unity saturation )

matlab判别分析，基本思想是将高维的模式样本投影到最佳鉴别矢量空间，以达到抽取分类信息和压缩特征空间维数的效果，投影后保证模式样本在新的子空间有最大的类间距离和最小的类内距离，即模式在该空间中有最佳的可分离性。(matlab discriminant analysis, the basic idea is to sample the high-dimensional pattern projected onto the optimal discriminant vector space, in order to achieve the classification of information extraction and compression feature space dimension effect, the projected sample assurance model in the new subspace has the largest class room the intra-class distance and the minimum distance, i.e., have the best separability pattern in the space.)

Some of the files model satellite formation for a leader and follower configuration while others relate direction cosine transformation for 3-1-3 rotation

用镜像矩阵求出矩阵的QR分解（正交三角分解），并求解线性方程组，该方法不必选主元，但其计算过程非常稳定。也可用于求矩阵的广义逆和求解线性最小二乘问题。子过程QRDCMP用镜像矩阵求m*n矩阵A的QR分解，A=Q^TR,其中Q是m*m正交矩阵，R为m*n上三角矩阵；子过程QRBKSB用矩阵的QR分解求解线性方程组Ax=b，其中A为n阶非奇异方阵。(Matrix obtained with the mirror matrix QR decomposition (orthogonal triangular decomposition), and solving linear equations, the method does not have to choose the main element, but its calculation process is very stable. Can also be used to find the generalized inverse matrix and solving linear least squares problems. Sub-process of the mirror matrix QRDCMP m* n matrix A QR decomposition, A = Q ^ TR, wherein Q is a m* m orthogonal matrix, R is m* n upper triangular matrix subprocess QRBKSB a QR decomposition to solve the matrix linear equations Ax = b, where A is non-singular square matrix of order n.)

压缩感知算法,提出了一种新型的信道估计算法(compressed sensing although，A novel channel estimation algorithm is proposed)