1fe6fc9dda8a

说明：  将CT数据进行重建得到CT图像，压缩包中含有CT数据，程序用matlab编写。(The CT data were reconstructed CT images, CT data archive contains the program written by matlab.)

我从网上下载了一个GA－PSO算法，试着利用GA和PSO组合的策略进行优化，结果算法很问题，效率和不错。我下载原始算法，有一个问题就是它是针对所有的设计变量上下限都是一样的，所以我对程序进行了修改与改进，现在可以处理上下限不一致的问题，同时fix了一些bug。(GA GA and PSO algorithm matlab program combined ion group When doing optimization, first choose the GA algorithm, but the instability of the GA (or into a local optimum) it drives people crazy, even after twice the difference results can sometimes reach 30 or more, but because of time reason, I had to choose the optimal 1000, then the minimum of which the most optimal solution. Although the problem is considered solved, but will be from an academic, which makes Ben is very embarrassing. So, I downloaded a GA-PSO algorithm, try to use a combination of GA and PSO optimization strategy, the results of algorithm is the problem, efficiency and good. I downloaded the original algorithm, there is a problem is that it is the design variables for all upper and lower limits are the same, so I had to modify and improve the program, can now handle upper and lower limits inconsistencies, and fix some bug.)

compute centroid of a set of points

The file introduces a modelling for the photovoltaic array panel.

说明：  这个程序是纹理特征提取的提取，很实用的程序(This procedure is the extraction of texture feature extraction, the procedure is very useful)

声音采集处理，涉及频率，变换等，属于入门级别程序(Sound acquisition and processing, involving frequency, transform, are entry-level program)

这是matlab编写的3个常用机器学习分类器代码。其中包括了： 1）PCA 分类其；2）LDA分类器：3）naive贝叶斯分类器。 3个算法的实现参考了《Introduction to Machine Learning》。 除了这3个分类算法的实现外，代码里面还包含了用于测试的main.m 主程序和一个实验的简要报告。实验在著名数据集acoustic_train_data 上进行。(This source code includes the implementation of three famous classifiers in machine learning. They are 1) PCA, 2) LDA and 3) Naive Bayesian. The detail theory behind these classifier can be found text book <<Introduction to Machine Learning>>. Besides the implementation of these 3 algorithms, the main.m for testing and a brief testing report is also included. (The testing is on data set acoustic_train_data) Enjoy:))

Overview The Simulink model shows an example how the Kalman Filter can be implemented in Simulink. The model itself is configured with a Gaussian process connected with a Kalman Filter. To directly use this model, one only needs to provide model prarameters including parameters of the Gaussian process, which are state space matrices, A, B, C, and D, initial state, x0, and covariance matrices, Q and R and similar parameters for the Kalman Filter, which can be in different values to mimic the model mismatch, plus the state covariance, P. The following examples show how this model can be used. The Kalman Filter can also be used as a standard model block to be connected with any other systems

this simulation of motor

matlab 频谱分析matlab 频谱分析matlab 频谱分析matlab 频谱分析matlab 频谱分析(matlab matlab spectrum analysis spectrum analysis spectrum analysis matlab matlab matlab spectrum analysis spectrum analysis)