GATOOL

元胞自动机的matlab程序。 元胞自动机（CA）是一种用来仿真局部规则和局部联系的方法。典型的元胞自动机是定义在网格上的，每一个点上的网格代表一个元胞与一种有限的状态。变化规则适用于每一个元胞并且同时进行。典型的变化规则，决定于元胞的状态，以及其（ 4或8 ）邻居的状态。元胞自动机已被应用于物理模拟，生物模拟等领域。(Cellular Automata matlab procedures. Cellular Automata (CA) is a simulation used to contact the local rules and local approach. A typical cellular automaton is defined in the grid, each grid point represents a cell with a limited state. Changes in the rules applicable to each cell and at the same time. Typical changes in the rules of decision in the cellular state, as well as its (4 or 8) neighbor state. Cellular Automata have been used in physical simulation, biological simulation and other fields.)

FDTD方法基本讲义,用于学习FDTD基本概念。(FDTD method is basically notes,to learn FDTD bacic.)

说明：  自己编写的计算光流场的MATLAB程序，基于梯度的方法，非常简单(I have written a MATLAB calculation of optical flow procedures, based on the gradient method and it is very simple)

source code for WSN protocols in matlab

ofdm papr程序，适用于slm，pts等(ofdm papr procedures applicable to slm, pts, etc.)

灰色预测模型,灰色预测模型,灰色预测模型,灰色预测模型,灰色预测模型,灰色预测模型,灰色预测模型,灰色预测模型,(Gray prediction model, gray forecasting model, gray forecasting model, gray forecasting model, gray forecasting model, gray forecasting model, gray forecasting model, gray forecasting model,)

相空间重构相关代码,使用重构相空间捕捉非线性特征。(phase space reconstruction.This toolbox contains Matlab functions to capture the nonlinearities of the speech production system using reconstructed phase space (RPS) techniques.)

Chaos and nonlinear dynamics application to financial markets

3.1语音信号的同态处理和倒谱分析30 3.1.1同态处理的基本原理30 3.1.2复倒谱和倒谱31 3.2离散余弦变换34 3.3Mel频率倒谱系数的分析37 3.3.1Mel滤波器组37 3.3.2MFCC特征参数提取38 3.4小波和小波包变换43 3.4.1小波变换43 3.4.2小波包变换44 3.4.3小波包算法45 3.4.4MATLAB中一维小波和小波包变换函数46 3.4.5MATLAB语音信号小波和小波包变换的例子49 3.5EMD的基本理论和算法53 3.5.1EMD的基本概念53 3.5.2EMD 的基本原理55 3.5.3EMD法的完备性和正交性57 3.5.4基于EMD的Hilbert变换的基本原理和算法59 3.5.5EMD法的MATLAB函数60(3.1 homomorphic speech signal processing fundamentals and cepstrum analysis 30 3.1.1 30 3.1.2 homomorphic processing complex cepstrum and cepstrum 31 3.2 Discrete Cosine Transform 34 3.3Mel frequency analysis of 37 3.3.1Mel cepstral filtering control group of 37 3.3.2MFCC feature extraction 38 3.4 wavelet and wavelet packet transform wavelet transform 43 43 3.4.1 3.4.2 3.4.3 44 wavelet packet transform wavelet packet algorithm 45 3.4.4MATLAB one-dimensional wavelet and wavelet packet transform function 46 3.4.5MATLAB voice signal example of wavelet and wavelet packet transform 49 3.5EMD basic theory and algorithms 53 3.5.1EMD basic concepts of the basic principles of law 53 3.5.2EMD of 55 3.5.3EMD completeness and orthogonality 57 3.5.4 Based on the basic principle of MATLAB functions and algorithms EMD Hilbert transform 60 of 59 3.5.5EMD law)

Given 3 points, interpolate the depth for the new pt.