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RANSAC算法及其各种改进算法，以及仿真结果分析(RANSAC algorithm and its improved algorithm and analysis of simulation results)

一种拓扑优化范围中的3维SIMP程序，可以多次修改(A 3-D SIMP program in the scope of topology optimization that can be modified many times)

基于Wiener滤波的语音消噪Matlab源程序 调用方式： output=WienerScalart96(signal,fs,IS) signal－－输入含噪语音 fs－－－－语音信号采样率 IS－－－－起始静音端，用来估计噪声方差（秒做单位，默认是0.25秒） (Wiener filter-based de-noising of the voice call Matlab source code the way: output = WienerScalart96 (signal, fs, IS) signal- voice input with noise fs---- voice signal sampling rate IS---- Start mute end used to estimate the noise variance (units of seconds to do, the default is 0.25 seconds))

数学建模中关于Matlab数学软件中几个经典的算法的程序(Mathematical modeling on the Matlab mathematical software algorithm several classic procedure)

Tamir模型的源代码,主要研究在树林信号传播时的衰减模型。(The Tamir model source code, mainly in the woods signal propagation attenuation model.)

function Px=overlay(N,omega,A,sigma,num) OVERLAY Forms multiple power spectral density estimates. ------- USAGE Px=overlay(N,omega,A,sigma,num) Calculates the periodogram using an ensemble of realizations of a process consisting of a sum of complex exponential in white noise. N : length of the signal omega : vector containing the sinusoid frequencies A : vector containing the sinusoid frequencies sigma : the variance of the white noise num : size of the ensemble (number of periodograms)

数字水印技术是近年来图像保护技术研究领域的一个热点,本文提出了一种基于小波变换的图像数字水印嵌入算法的Matlab实现。实验结果表明,该算法具有较好的视觉效果和透明性。 (Abstract　The digital watermarking technology is the most active topic in image protecting recently.In this paper, a digital watermarking algorithm based on Wavelet transform is proposed,and give ou the program of this algorithm by MatLab.The experimental results demonstrate that the method possess good vision effect and transparence. Keywords　Image protecting　Wavelet transform　Digital　Watermarking　Matlab )

This code sorts a integer vector using QuickSort with p-threads.

调频信号作为探测信号的匹配滤波处理程序源码(FM signal as the detection signal matched filter processing program source code)

The Adaline is essentially a single-layer backpropagation network. It is trained on a pattern recognition task, where the aim is to classify a bitmap representation of the digits 0-9 into the corresponding classes. Due to the limited capabilities of the Adaline, the network only recognizes the exact training patterns. When the application is ported into the multi-layer backpropagation network, a remarkable degree of fault-tolerance can be achieved.