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PSO BASED CLASSIFICATION PATTERN

很实用的，模糊PID控制算法，MATLAB程序，仿真效果很好(PID control MATLAB programme)

Pemrograman Integer dari Indonesia

抑制载波型差分相位调制，music高阶谱分析算法，主同步信号PSS在时域上的相关仿真，与理论分析结果相比，包括最小二乘法、SVM、神经网络、1_k近邻法,合成孔径雷达（SAR)目标成像仿真，matlab程序运行时导入数据文件作为输入参数，重要参数的提取。( Suppressed carrier type differential phase modulation, music higher order spectral analysis algorithm, PSS primary synchronization signal in the time domain simulation related, Compared with the results of theoretical analysis, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Synthetic Aperture Radar (SAR) imaging simulation target, Import data files as input parameters matlab program is running, Extract important parameters.)

Conjugate Gradient Method by Yi Cao

说明：  BP神经网络，用作分类，可执行，数据通过模拟得到，可采用自己的数据(BP neural network, used for classification, executable)

密勒编译码的simulink实现，经过验证可用，希望对大家有所帮助(endoder and decoder of millerer based on simulink)

The Kalman filter is an efficient recursive filter that estimates the state of a linear dynamic system from a series of noisy measurements. It is used in a wide range of engineering applications from radar to computer vision, and is an important topic in control theory and control systems engineering. Together with the linear-quadratic regulator (LQR), the Kalman filter solves the linear-quadratic-Gaussian control problem (LQG). The Kalman filter, the linear-quadratic regulator and the linear-quadratic-Gaussian controller are solutions to what probably are the most fundamental problems in control theory.

中国一号信令线路信令中国一号信令线路信令(digital channel associater exchange line signalling public network, standard)

contourlet toolbox component