MATLAB

本代码是关于Multi-Dimensional Scaling（MDS）的代码，可以用于特征提取、特征选择，或是矩阵降维。(This file is part of the Matlab Toolbox for Dimensionality Reduction v0.4b. You are free to use, change, or However, )

Tsai标定算法的精度验证程序，用matlab编写，可以画出重建图像(Tsai calibration algorithm for the accuracy of the verification process, the preparation of matlab, you can draw the reconstructed image)

this code about optimization

Hespanha混杂系统模拟仿真教程的Matlab算例5(Matlab example 5 Simulation of hybrid systems (Hespanha))

多目标的DOA估计 对多个目标的DOA来向进行跟踪，估计其来向角度等信息(DOA MUSIC estimated)

LTE下行链路空分复用开环。仿真配置：16QAM调制、1/3码率Turbo编码、10MHz带宽、每个子帧一个PDCCH符号、单码字，8次迭代Turbo译码、早期终止机制、MMSE（最小均方误差）MIMO接收器，PDSCH发射端进行空分复用预编码。信道模型是LTE-MIMO信道附加AWGN信道。(LTE downlink space division multiplexing ring opening. Simulation Configuration: 16QAM modulation, 1/3 rate Turbo code, 10MHz of bandwidth, one PDCCH per subframe symbol, single code word, 8 Turbo decoding iterations, early termination mechanisms, the MMSE (minimum mean square error) the MIMO receivers, PDSCH transmitting terminal space division multiplexing precoding. Channel model is LTE-MIMO channel additional AWGN.)

有关MATLAB的技术手册，可以方便大家查阅学习软件(about matlab handbook)

了解随机信号自身的特性，包括均值（数学期望）、方差、相关函数、频谱及功率谱密度等。(Understanding of random signal their characteristics, including mean (mathematical expectation), variance, correlation function, spectrum and power spectral density.)

粒子群算法（PSO）优化BP神经网络，用来进行非线性的校正，效果良好(Particle swarm optimization (PSO) to optimize BP neural network, used for non-linear correction, to good effect)

为了对数据进行准确的预测，建立了双隐层BP神经网络，并提供了源数据，实现了准确的数据预测。程序能够执行，误差较小，输出接近真实值。(To accurately forecast the data, we build the two-hidden layer BP neural network and provide the original data, which will forecast the data. The program can be executed with small error which will be close to the real data.)