fourier

bp神经网络的非线性系统建模————非线性函数拟合(nonlinear system modeling bp neural network nonlinear function fitting )

多维变量函数GA优化，matlab语言编写，分模块编写，清晰易懂(multi-variable GA OP by matlab)

hopfield神经网络的基本程序，给出了网络连接以及输入输出之间关系的基本网络(The basic program hopfield neural networks, giving the network connection and the basic network between the input and output)

matlab中移动字符对象，有源程序 并附有说明 直接复制到matlab的m文件中即可运行(matlab moving characters in the object, there is a direct copy the source code with a note to the matlab m-file to run)

MATLAB仿真uwb使用bpsk调制解调的发送(TX)和接收(RX)(MATLAB uwb bpsk use of modulation and demodulation of this (TX) and receive (RX))

语音识别是近年来发展非常迅速的一项计算机智能技术，广泛应用在语音控制、身份识别等多个领域。本次项目主要研究语音识别的预处理过程和特征参数的提取环节。通过对原始语音信号进行预加重和分帧、加窗，滤除低频干扰，提升对语音识别有用的部分，消除了部分噪音和失真。预处理之后进行信号的特征提取，主要选取了短时平均过零率和MFCC两个特征参数，应用matlab软件绘制波形图并提取特征参数矩阵，为之后的语音信号的识别打下了基础。(Speech recognition is a computer intelligent technology which has developed rapidly in recent years. It is widely used in speech control, identity recognition and other fields. This project mainly studies the pretreatment of speech recognition and the extraction of feature parameters. Through pre-emphasis, framing and windowing of the original speech signal, the low frequency interference is filtered out, the useful part of speech recognition is enhanced, and some noise and distortion are eliminated. After pretreatment, feature extraction of signal is carried out. Two feature parameters, short-term average zero-crossing rate and MFCC, are selected. Waveform diagram is drawn by MATLAB software and feature parameter matrix is extracted, which lays a foundation for speech signal recognition.)

This program gives a graphic of module, phase and amplitude of diferents kinds of filters, using guide.

数字图像处理中的边缘检测程序合集，包括VC++和MATLAB实现(Digital Image Processing Edge Detection Collection procedures, including the VC and MATLAB)

可视化编程语言MATLAB电子教程设计Visual programming language MATLAB Electronic Design Tutorials(Visual programming language MATLAB e-tutorial design Visual programming language MATLAB Electronic Design Tutorials)

通过非线性模型UNGM比较mlp与ekf算法的性能(Comparison mlp by non-linear model UNGM performance of the algorithm with the ekf)