Computational-Colour-Science-Using-MATLAB---Steph

说明：  分析了LTE系统频率偏移，定时误差，信道估计问题等，并对广义Rake接收机和CPEDS接收机的性能做了比较。(Analysis of the LTE system frequency offset, timing error, channel estimation problems, and generalized Rake receiver performance receiver and CPEDS were compared.)

Given a matrix the result its the Invert matrix

matlab m文件 输入光谱信号就能求求光谱的半高全宽！！！(Seeking spectrum FWHM)

根据能量密度梯度对细胞图像及边缘进行加强。(According to the energy density gradient on cell image and edge enhanced.)

这是用身高体重数据进行性别分类的实验。 用最小错误率贝叶斯分类器决策时，首先通过比较概率大小判断一个体重身高二维向量代表的人是男是女，然后再逐一与已知性别的数据比较，就可以得到错误率的统计。然后改变先验概率，重复上面的过程，观察数据结果的变化。 用最小风险贝叶斯分类器决策时，首先求出用最小错误率贝叶斯分类器得到的条件概率；然后根据人为给定的决策表，根据公式算出条件风险；然后逐一比较条件风险，找出使条件风险最小的决策（也就是分类）。最后用分类得到的结果逐一比较已经知道的原始数据，统计处错误率。 (This is the height and weight data for gender classification experiment. With the minimum error rate Bayesian classifier decisions , first by comparing the probability of the size and weight to height to determine a person represented by two-dimensional vector is male or female , and then one by one with known gender data comparison, the statistical error rate can be . Then change the prior probability , repeat the above process , the results of the changes observed data . Bayesian classifier with the minimum risk decision-making , first find the minimum error rate using Bayesian classifier to get the conditional probability then artificially given decision table , according to the formula to calculate conditional risk and then one by one more conditional risk , to find ambassador to the conditions of minimum risk decision making (ie classification) . Finally, the results obtained with the classification by-side comparison of the raw data have been aware of SD error rate . )

matlab 改进蚁群算法，应用简单广泛。(ant optimization)

此程序主要演示通道间相位误差对DBF旁瓣电平的影响。(This program is mainly to demonstrate of effect of channel phase errors on the sidelobes of DBF.)

卫星轨道书中附带的C++程序，很好地一本书，对于卫星设计很重要(The book comes with a satellite orbit C++ program, a good book, it is important for the satellite design)

利用高斯过程回归建立软测量模型，主程序名为OnlineStage.m,包含数据，可以直接运行，亲测可用。(Gaussian process regression soft sensor model, the main program named OnlineStage.m, contains data that can be run directly, pro-test available.)

1）在Matlab 环境下读取太阳黑子数目序列，并绘制其时域波形； 2）采用离散时间卷积计算方法对太阳黑子数据序列进行滑动平均滤波（窗口宽度 分别为5 和13），并绘制出滤波后的波形； 3）对太阳黑子数据进行离散时间傅里叶变换，通过求幅度谱最大值方法估计太阳 黑子的周期；(Convolution calculation of sunspot periodic data for sliding filtering)