duogongnengludeng

matlab：距离方程、线性调频、雷达波形、动目标显示、脉冲压缩、编码波形、伪随机序列、SAR、RCS(matlab: from the equation, linear frequency modulation, radar waveform, moving target indication, pulse compression, encoding waveform, pseudo-random sequence, SAR, RCS)

Dijktra s single source shortest path algorithm. The function takes a graph (which may be sparse) as an input and returns the matrix of shortest distances between all of the nodes. Additionally, individual source and sink nodes may be specified as additional arguments.

说明：  根升余弦函数，主要用在调制时的成型时使用(Root raised cosine function, mainly used in modulation used at the time of molding)

本人收集的一些有关matlab的代码程序设计 也不知道改选什么分类(I collected some of the Matlab code design procedures do not know what election classification)

这个程序是希尔伯特黄变换的希尔伯特变换部分的MATLAB仿真程序。(This program is Hilbert Huang Transform Hilbert transform part of the MATLAB simulation program。)

一种基于TV 整体变分算法的图像修复的MATLAB代码(INPAINTING)

说明：  能够更好的熟悉matlab开发环境，里面还配带了许多的实用程序(Better matlab familiar development environment, which is also equipped with a number of utility)

集合卡尔曼滤波的Matlab程序，enkf-matlab-0.30，最新版本(EnKF-Matlab is designed primarily as a research and study tool. As a consequence, speed and memory usage are given a lower priority than simplicity and ease of use)

matlab微积分经典教程classical calculus tutorial matlab(matlab calculus classic classical calculus tutorial matlab tutorial)

线性预测分析是最有效的语音分析技术之一，在语音编码、语音合成、语音识别和说话 人识别等语音处理领域中得到了广泛的应用。语音线性预测的基本思想是：一个语音信号的 抽样值可以用过去若干个取样值的线性组合来逼近。通过使实际语音抽样值与线性预测抽样 值的均方误差达到最小，可以确定唯一的一组线性预测系数。(Linear predictive analysis is one of the most effective voice analysis technology has been widely applied in the field of speech processing speech coding, speech synthesis, speech recognition and speaker recognition and the like. The basic idea of ​ ​ linear prediction of speech is: a voice signal sample values ​ ​ can be approximated by a linear combination of a plurality of sample values ​ ​ of the past. By making the actual speech sample mean square error of the value of the smallest linear prediction sample values, to determine a unique set of linear prediction coefficients.)