GRNN

说明：  MATLAB程序，用于dsp编程软件仿真，信号的产生，fft变换(MATLABghdsp)

matlab UIcontrol界面编程实例代码(matlab gui problem example)

基于MATLAB平台的PWM调制正弦波的快速傅里叶分析(his model simulates and computes Fourier analysis of PWM based sinusoidal waveform. Fundamental frequency can be changed in model properties. Amplitude modulation index and frequency modulation index can be adjusted in Simulink model directly.)

说明：  MDL源数估计，依照原理亲编亲测。 。。。。。。。。 。。。。。。。(Estimation of the number of signal sources)

直线一一级倒立摆的数学模型。其产品是固高科技GLIP2001(Line eleven mathematical model of inverted pendulum. The product is a solid high-tech GLIP2001)

Amos Gilat写的MATLAB教材，很详细清楚。 An Introduction with Applications, Fourth Edition 2011( An Introduction with Applications, Fourth Edition )

Bandstop Filter Design in Matlab

主成分分析(Principal Component Analysis, 简称PCA)是一种常用的基于变量协方差矩阵对信息进行处理、压缩和抽提的有效方法。 (The principal component analysis (Principal Component Analysis, PCA) is a common covariance matrix of information processing, compression and extraction.)

Field 2 是丹麦理工大学（Technical University of Demark）的J.A.延森（Jorgen Arendt Jenson）开发的一款超声模拟软件，该软件基于线性声场理论， 其最基本概念是空间冲击响应，最早由Tupholme和Stepannishen等提出，空间冲击响应是一个和何置相关的函数，它与换能器上的激励信号卷积，可以得到发射波到焦点的任意一点的声场。换能器接收同波信号相当与发射的逆过程，将空间的反射点作为发射源，与接收换能器的空间冲击响应卷积，从而得到回波信号。(Field 2 is the Technical University of Denmark (Technical University of Demark) is an ultrasound simulation software JA Jensen (Jorgen Arendt Jenson) developed the software based on the linear sound field theory, the basic concept is the spatial impulse response, first by Tupholme and Stepannishen and other proposed space impulse response is a home-related functions and what its convolution with the excitation signal transducer, you can get any of the transmitted wave to the focal point of the sound field. Wave transducer receives a signal corresponding with the inverse process of transmission, the reflector point in space as a transmission source, and the receiving transducer spatial convolution of the impulse response, thereby obtaining the echo signal.)

function [ H ,S ] = HS( f ) UNTITLED2 Summary of this function goes here Detailed explanation goes here syms x1 x2 f1=diff(f,x1) f2=diff(f,x2) S= [f1 f2] H = [diff(f1,x1) diff(f1,x2) diff(f2,x1) diff(f2,x2)] end s0=subs(S,findsym(S),[0 0])(function [H, S] = HS (f) UNTITLED2 Summary of this function goes here Detailed explanation goes here syms x1 x2 f1 = diff (f, x1) f2 = diff (f, x2) S = [f1 f2] H = [diff (f1, x1) diff (f1, x2) diff (f2, x1) diff (f2, x2)] end s0 = subs (S, findsym (S), [0 0 ]))