Dlay-control-with-Dalin-Algorithm

CVX的使用方法 它是一种很有用的MATLAB工具(CVX to use it is a very useful tool for MATLAB)

基于SOM神经网络的基金业绩分类评价，内含PPT(SOM neural network based classification of fund performance evaluation, containing PPT)

unsecnted Kalman Filter

kmeans image segmentation Input: ima: grey color image k: Number of classes Output: mu: vector of class means mask: clasification image mask

2011数学建模A题第一问的matlab源程序(2011 A mathematical modeling of the first questions to ask matlab source)

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.)

The goal of this lab is to exercise basic features of Servlet leveraging NetBeans IDE. You are going to build, run, and modify ServletExamples sample application using NetBeans. (The goal of this lab is to exercise basic features of Servlet leveraging NetBeans IDE. You are going to build, run, and modify ServletExamples sample application using NetBeans.)

迪杰斯特拉算法的matlab源文件。输出最短距离及路劲

this project of analysis character optimization and code in matlab

应用MATLAB仿真平台根据图像偏移量实现图像的透视变换(MATLAB simulation platform perspective transformation of the image according to the image offset)