MATLAB-Introduction-Applications

This is matlab otsu coding

本程序为脉冲压缩雷达回波产生与处理。包括产生相位编码目标回波、对回波进行I/Q解调、匹配滤波，分析多普勒频移对脉冲压缩的影响等。(This procedure for pulse compression radar echo generation and processing, including the generation of phase coded target echo, echo IQ demodulation, matched filtering, analysis of the impact of Doppler shift on the pulse compression )

无线通信中MIMO信道容量OFDM信道防真，BPSK调制(MIMO wireless communication OFDM modulation channel capacity to prevent)

Gauss 消元法 — 不选主元 Gauss 消元法 — 列选主元. 插值法 lagrange .cpp 插值法 lagrange .cpp 二分法.txt 二分法和简单迭代法以及埃特金.txt 复化辛卜生公式.txt快速弦截法 gauss-seidel选代.txt牛顿迭代法.txt(Gauss elimination method- do not choose the principal component Gauss elimination method- principal component out how. Interpolation lagrange. Cpp interpolation lagrange. Cpp dichotomy. Txt dichotomy and a simple iterative method, and Aitken. Txt Fu Xin Bo' s formula of . txt fast chord intercept method gauss-seidel iteration. txt Newton iterative method. txt)

粒子群优化算法求解贷款方面的程序，供大家参考(Particle swarm optimization algorithm lending program, for your reference)

说明：  最优化计算一书中二次规划源代码，已通过测试，可直接运行！(Optimization calculation of a book quadratic programming source code, and have passed the tests, can be directly run.)

经典的过程控制书籍，主要面向有限时域的滚动优化。面向对象为过程控制工程师，其中的算法可用matlab实现。(The book "Receding Horizon Control" is a classic book in process system engineering (PSE). This book illustrate model based control algorithm which can mainly carried out by matlab.)

包括ofdm调制解调， LS信道估计，DFT信道估计，改进DFT信道估计(Including ofdm modem, LS channel estimation, DFT channel estimation to improve channel estimation DFT)

k_means聚类算法matlab实现,运用matlab环境实现了聚类经典算法k_means实现对数据点的分类(the implementation of k_means in matlab)

部分实现了追踪测速迭代松弛算法，matlab开发工具箱中的支持向量机，主要是基于mtlab的程序，通过反复训练模板能有较高的识别率，利用贝叶斯原理估计混合logit模型的参数，BP神经网络用于函数拟合与模式识别，FIR 底通和带通滤波器和IIR 底通和带通滤波器。( Partially achieved tracking speed iterative relaxation algorithm, matlab development toolbox support vector machine, Mainly based on the mtlab procedures, Through repeated training jSOURGDlate have higher recognition rate, Bayesian parameter estimation principle mixed logit model, BP neural network function fitting and pattern recognition, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter.)