FFTSpectralEEG

基于MATLAB的FIR滤波器的设计与仿真(MATLAB-based FIR filter design and simulation)

《MATLAB神经网络30个案例分析》中的第11个例子，案例11 连续Hopfield神经网络的优化-旅行商问题优化计算。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of 11 examples, case 11 continuous Hopfield neural network optimization- traveling salesman problem optimization calculation. Hope to have certain help to everybody! )

信号分解为六层的细节信号的谱分析小波包络谱分析修改版6层( Wavelet envelope spectrum analysis of a modified version of layer signal is decomposed into six layers of detail signal spectrum analysis)

经验模态分解（EMD）方法（平稳化过程）是一种全新的处理非平稳数据序列的方法，其基本思想是：假如一个原始数据序列X(t)的极大值或极小值数目比上跨零点（或下跨零点）的数目多两个（或两个以上），则该数据序列就要进行平稳化处理(Empirical Mode Decomposition (EMD) method (a smooth process) is a new deal with non-stationary data sequence method, the basic idea is: If a raw data sequence X (t) the maximum or minimum number of than the cross-zero (or under the cross-zero) number more than two (or more), then the data is necessary to carry out a smooth sequence of treatment)

连续潮流法求最邻近电压稳定点，程序实现算法(POINT OF COLLAPSE AND CONTINUATION METHODS FOR LARGE)

kfdemo.m is a Matlab script file to run a demonstration of the Bayesian Kalman filter.(kfdemo.m Matlab is a script file to run a dem onstration of the Bayesian Kalman filter.)

数据集稀疏化然后用典型相关分析进行降为再分类(Sparse data sets, and then reduced to using canonical correlation analysis)

应用Gauss-Newton.圆柱拟合 (Application of Gauss-Newton. Cylindrical fitting)

Horn-Schunck optical flow method是光流法处理的一种经典方法。希望对学习光流的朋友提供帮助。(Horn-Schunck optical flow method is the optical flow method of treatment of a classic. I hope to learn optical flow of a friend to help.)

说明：  本文通过对目前常用的现代谱估计方法一一最大墒谱估计方法中的谱 峰幅度和谱线分辫率两个基本问题的分析和讨论，和经典的傅立叶谱估计方法作比 较，指出在最大墒谱估计方法的应用中应注意的几个问题。 (Based on the currently used modern spectral estimation method 11 method of maximum entropy spectral estimation of the spectral peak amplitude and spectral resolving power are two basic problems of analysis and discussion, and the classical Fourier spectrum estimation methods for comparison, that the maximum Application of entropy spectral estimation method should pay attention to several issues.)