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MATLAB 7.x数字信号处理源代码,包括: 1 常用函数列表 2 第一章到第九章源代码 3 程序说明(MATLAB 7.x digital signal processing source code, including: a list of commonly used functions to the Chapter 2 Chapter 3 source code description of the procedures)

HOPFIELDNETWORK M-file for HopfieldNetwork.fig . HOPFIELDNETWORK, by itself, creates a new HOPFIELDNETWORK or raises the existing singleton*. H = HOPFIELDNETWORK returns the handle to a new HOPFIELDNETWORK or the handle to the existing singleton*. HOPFIELDNETWORK( CALLBACK ,hObject,eventData,handles,...) calls the local function named CALLBACK in HOPFIELDNETWORK.M with the given input arguments. HOPFIELDNETWORK( Property , Value ,...) creates a new HOPFIELDNETWORK or raises the existing singleton*. Starting from the left, property value pairs are applied to the GUI before hopfieldNetwork_OpeningFunction gets called. An unrecognized property name or invalid value makes property application stop. All inputs are passed to hopfieldNetwork_OpeningFcn via varargin.

通过matlab实现拉格朗日乘子法。学习经典优化方法，熟悉matlab语言。(Realize the Lagrangian multiplier method by matlab. Learning classic optimization methods, familiar with matlab language.)

Adaptive filter using Matlab

说明：  跳频通信仿真论文，大家看一下啊，好不容易找到的(Frequency-hopping communication simulation paper, we look at, ah, hard-won)

时频分析工具，自编的小程序，可以进行fft变换，和一些信号分析。(time-frequency analysis tool, designed a small procedure can be carried out fft transform, and some signal analysis.)

Matlab解复合材料层合板的问题.是matlab源代码。(matlab solve composite)

仿真实现了目标跟踪的粒子滤波跟踪，并对误差进行了统计( realize the particle filter)

说明：  灰色系统的matlab程序原代码，可用以对数据建立方程，进行预测(Gray system matlab program source code, the data used to establish equations to predict)

The Mass Univariate ERP Toolbox is a freely available set of MATLAB functions for performing mass univariate analyses of event-related potentials (ERPs), a noninvasive measure of neural activity popular in cognitive neuroscience. A mass univariate analysis is the analysis of a massive number of simultaneously measured dependent variables via the performance of univariate hypothesis tests (e.g., t-tests). Savvy corrections for multiple comparisons are applied to make spurious findings unlikely while still retaining a useful degree of statistical power. The advantages of mass univariate analyses include: reduced need for a priori defined time windows/regions of interest, discovery of unexpected effects even when a priori time windows/regions of interest are available, and greater spatial and temporal resolution than conventional mean time window analyses.