SEGMET1112

高光谱图像的解译是遥感图像应用的一个重要环节。基于线性光谱混合模型的光谱解译技术正在越来越广泛地应用。仿真结果表明，当部分端元参与解译和分区域进行解译时，高光谱图像的解译效果会得到较显著改善。(The unmixing of Hyperspectral imagery is a critical link of the application of remote sensing imagery. Based on linear spectral mixture model, spectral unmixing technology now is being increasingly used. On the basis of it,studying unmixing ways engaged by endmembers in different conditions, comparing and discussing a more effective expression mode of endmembers.)

对于OFDM系统在三种信道模型下进行了仿真，给出了误码率分析并绘图给出了结果(For OFDM system in the three channel model simulation under the given bit error rate analysis and mapping results are given)

This shows that relay power is an important criterion which decides the gain we get from simple relaying as compared to direct transmission.

包括主成分分析、因子分析、贝叶斯分析，可以广泛的应用于数据预测及数据分析,车牌识别定位程序的部分功能，直线阵采用切比学夫加权控制主旁瓣比，包含CV、CA、Single、当前、恒转弯速率、转弯模型。(Including principal component analysis, factor analysis, Bayesian analysis, Can be widely used in data analysis and forecast data, Part of the license plate recognition locator feature, Linear array using cut than learning laid upon the right control of the main sidelobe ratio, It contains CV, CA, Single, current, constant turn rate, turning model.)

MIMO系统V-BLAST结构关于BER的仿真，发送符号为QPSK信号，采用ZF,QR，MMSE,ML解调技术(MIMO system V-BLAST structure simulation on BER, transmission symbol is QPSK signal, using ZF, QR, MMSE, ML demodulation techniques)

图像分割是把图像划分成具有实际意义的互补交迭的区域的集合。在图像分割之前，图像区域的数目未知，而在分割后各个区域同时满足均匀性和连通性的条件，故图像分割是一个复杂的过程，目前大多数研究都是针对某一类型图像或者某一具体应用的分割。图像阈值化分割的基本思想是确定一个阈值，然后把每个像素点的像素值和阈值相比较，根据比较的结果把像素划分为两类，前景(1)或背景(0)。该方法的关键是确定一个最优的阈值。常用的阈值确定方法有直接门限法、类间最大方差法(otsu法)、分水岭算法、最小误差法、最大熵法等。该段代码就是图像的阈值分割。(The image segmentation is divided into the practical significance of the emerging area of complementary set. In the image segmentation, before the number of image region, the unknown, and after each area in division at the same time satisfy the uniformity and connectivity condition, so the image segmentation is a complicated process now, most research are for a certain type image or a particular application of the division. Image threshold segmentation of the basic idea is to determine a threshold, then put each pixel threshold value of the pixels and compared, according to the result of the comparison the pixel divided into two categories, the prospect (1) or background (0). This method is the key to determine an optimal threshold. Commonly used method to determine the threshold value of direct threshold method, the largest of the variance between method (otsu method), watershed algorithm, the minimum error method, the maximum entropy method, etc. When the code is image threshold segm)

电子工业出版社 《数字信号处理》第2版课后题MATLAB 4-7题(Electronic Industry Press Digital Signal Processing 2nd edition title after title MATLAB 4-7)

属性分类的粒子群算法Particle swarm optimization (pso) algorithm to the classification of the attribute(Particle swarm optimization (pso) algorithm to the classification of the attribute)

贪心算法_隐枚举法（0 - 1 整数规划求解）,matlab代码(Greedy algorithm _ implicit enumeration method ( 0- 1 integer programming solver ) ,matlab code)

一种人工免疫系统算法的源程序，适合绝对其他算法的改进。(An artificial immune system algorithm source code for the absolute other algorithm.)