boost_switching

全变差图像处理Matlab程序，for the paper: "Algorithms and Software for Total Variation Image Reconstruction via First-Order Methods, Numerical Algorithms"(Software for Total Variation Image Reconstruction (for Matlab Version 7.5 or later) "mxTV" is a software package for image reconstruction based on the Total Variation model, and including denoising, inpainting, and deblurring. The work was carried out as part of the project CSI: Computational Science in Imaging, funded by the Danish Research Council for Technology and Production Sciences, and headed by Prof. Per Christian Hansen, DTU Informatics. The collaborators are DTU Informatics, Dept. of Electronic Systems at Aalborg University, and MOSEK ApS. The underlying algorithms are based on recently published first-order methods developed by Nesterov, tailored specifically to the image restoration problems. These methods have O(1/ε) complexity, where ε is the accuracy of the solution. The core computational routines are written in C, with a mex interface to Matlab. The algorithms and the software are described in the paper: J. Dahl, P. C. Hansen, S. H. Jensen, and T. L. Jensen, Alg)

kICA implementation

自行设计产生两个离散序列信号，对其进行相加、乘及卷积运算。 利用filter命令求下面LTI系统的冲激响应，画出系统的零极点图，判断系统的稳定性、因果性。 绘出系统的频响曲线 (To design of two discrete sequence of signals , their sum , multiplication and convolution . Seeking the following LTI system impulse response filter command , draw system pole-zero diagram to determine the stability of the system , causality . Mapping the frequency response curve )

信号与系统的实验报告：信号系统的系统响应，应用FFT对信号进行频谱分析，用双线性变换法设计IIR滤波器，用窗函数设计FIR滤波器(Signal and system test report: system response signaling system, application FFT spectrum analysis of signals using bilinear transform IIR filters, FIR filter design using window function)

说明：  分布傅里叶算法实现光纤传输中非线性薛定谔方程的求解(fourier method)

说明：  神经网络设计源码，通过MATLAB仿真验证过(Neural network design source, verified by MATLAB)

F2T变换 (F2T transformation )

matlab人脸识别，智能识别人脸，应用于检测识别人脸(matlab face recognition, smart face recognition, face detection and recognition applied)

高阶谱分析，很实用，能帮助分析非平稳信号(Higher order spectral analysis, it is useful to help analyze non-stationary signals)

Tests hypothesis that 2 variables are equally correlated with a 3rd if values from all 3 are paired