应用禁忌搜索算法解决0-1背包问题

利用Matlab生成GPS C/A 码的基带信号。 （1）产生卫星PRN 号码为“5”的一组C/A 码； （2）循环生成25 页的导航数据，GPS 时间可填入一固定的已知数值； （3）生成C/A 码扩频信号，每个C/A 码码片给出4 个采样数据； （4）基带信号采用方波信号，电平为0 和1，占空比为50 ％，不加入噪声，进一步生成某个特定的中频信号。(Matlab generated using GPS C/A code base band signal. (1) generation of satellite PRN number is " 5" a set of C/A code (2) loop generates 25 of the navigation data, GPS time can fill a fixed known value (3) to generate C/A code spread spectrum signal, each C/A code chip gives the four sampling data (4) baseband signals using square wave signal, level 0 and 1, 50 duty cycle, not to join the noise generated further a specific frequency signal.)

小波算法分析数据的低频与高频,从而分析数据的变异点.寻找变异位置.(Low and high frequency wavelet algorithm analysis of data to analyze the variation point data. Looking mutation position.)

m file to convert Lat Long geodetic coordinate system to Cartesian

说明：  用matlab实现智能优化算法，本程序主要实现的是人工蚁群优化算法(Using matlab to achieve intelligent optimization algorithms, the main procedures of artificial ant colony optimization algorithm)

code for image processing

使用MATLAB，实现以下四个功能 一、获取图片RGB值：给定一张图片，获取点(x,y)，以及(x,y)周围8个点的R、G、B值。 二、实现rgb2gray函数：使用matlab实现rgb2gray的功能，并能计算出转换后灰度图片的方差。 三、灰度图对比度增强：分别使用灰度拉伸和直方图均衡化，增强给定图的对比度。 四、图像去噪：对给定图片加椒盐噪声，并选择两个去噪算法去除椒盐噪声。 (Using MATLAB, to achieve the following four functions First, access to image RGB value: Given a picture, get the point (x, y), and (x, y) around 8 o clock in the R, G, B values. Second, the realization rgb2gray function: using matlab realize rgb2gray functions, and can calculate the variance after the conversion of grayscale image. Third, the grayscale contrast enhancement: namely, the use of gray stretch and histogram equalization, contrast enhancement given graph. Fourth, the image denoising: for a given image add salt and pepper noise, and you know at least two denoising algorithm to remove salt and pepper noise. )

奇异值分解降噪技术，对各种信号进行处理，使用先进的MATLAB程序进行分解处理，达到理想的效果(SVD noise reduction on various signal processing, the use of advanced decomposition MATLAB processing procedures to achieve the desired results)

上传的源代码为《精通matlab GUI设计》的源代码(From the source code as " proficient in matlab GUI design" of the source code)

Training software for Markov Random Fields used at INRA

digitize grapical graphs