matlab

用Fourier变换求信号的功率谱(分段周期图法)(Calculate the power spectrum of signal using Fourier transform method)

关于matlab的一本详细用户手册。适合初学者。()

说明：  用PSO算法求解最短路径的例程，需要设定邻接矩阵和粒子维度(The routine of solving the shortest path with PSO algorithm)

matlab.soft.base介绍了matlab的软件基础和功能使用(matlab.soft.base introduced the Matlab software infrastructure and functional use)

用matlab实现基于时间序列的最小二乘支持向量机预测，代码简单易懂，适合初学者使用(achieve the lssvm regression based on time series using matlab)

PSO_DynamicEnvironment是用粒子群算法（particle swarm algorithm）解决动态环境寻优（最优值不断变化）的问题。文件打开后运行PSO_DynamicEnvironment.m文件即可得到结果，代码中有详细注释，方便修改。运行示例已经保存为图片附在压缩包中。(PSO_DynamicEnvironment solve dynamic environment particle swarm optimization algorithm (particle swarm algorithm) (optimal value changing) problems. Run PSO_DynamicEnvironment.m file to get the file to open the result, the code has detailed notes, easy to modify. Run the sample has been saved as a picture attached to the compressed package.)

STBC_MIMO_OFDM.m 这是一个基于空时分组编码的MIMO_OFDM通信系统的仿真设计。 此系统包括QPSK调制解调，IFFT调制，空时编解码，基于训 ( STBC_MIMO_OFDM.m This is a space-time block coding based on MIMO_OFDM Communication System Simulation. This system consists of QPSK modulation and demodulation, IFFT modulation, space-time coding and decoding, based on training)

换能器阵元的不同排列组合决定其指向性，波束形成是多波束测量的关键技术。文中 通过数学计算总结了不同换能器阵进行波束形成的工作原理，并介绍了利用二维DFT进行频 域波束形成的一般方法。最后结合现役多波束测深系统，简单解释说明不同系统所采用的波束 形成技术。(Transducer using an array of different permutations and combinations to determine its directivity, beam formation is the key technology for multi-beam measurements. Summarized by mathematical calculations the transducer array beamforming works, and describes the general method of two-dimensional DFT in the frequency domain beam formation. Finally, the active-duty multi-beam sounding system, the simple explanation of the different systems used in beamforming technology.)

利用实例教会初学者MATLAB的GUI的设计过程，非常实用(Examples of the use of the church beginners MATLAB GUI design process, very practical)

naive bayes方法是用于分类的一个传统方法，它是产生的比较早的一个方法，分类的准确度比较高。(naive bayes method is used for the classification of a traditional method, which is generated as early as one way of comparison, classification accuracy is relatively high.)