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输入信号五个基于瞬时信息的特征：零中心归一化瞬时幅度功率谱密度的最大值,零中心归一化瞬时幅度绝对值的标准偏差，零中心非弱信号段瞬时相位非线性分量绝对值标准偏差，零中心非弱信号段瞬时相位非线性分量标准偏差，零中心归一化的非弱信号段瞬时频率绝对值的标准偏差，得到识别出的信号类别，本例为2PSK, 4PSK, GMSK, OQPSK, pi/4DQSK中的一个，还可以看Art网络的扩展性。(input signal instantaneous information on five characteristics : In the center is one of the instantaneous rate of the power spectral density of the maximum, is a center to the absolute value of the instantaneous rate of the standard deviation, Non-zero weak signal instantaneous phase of the nonlinear component absolute standard deviation, Non-zero weak signal instantaneous phase of the nonlinear component standard deviation, In the center is one of the non-weak signal of the absolute value of the instantaneous frequency standard deviation, the identification of signal type, The cases of two PSK, 4PSK, GMSK, OQPSK, pi/4DQSK of one, Art can be viewed network scalability.)

MATLAB LAB MANUAL PROGRAM OF SIGNAL PROCESSING

introductory look at what type of vibrations we might be dealing with when attempting to harvest ambient kinetic energy. The simplest type of vibration that could possibly occur, would be with a harmonic one, with a single frequency component at a constant frequency that does not change significantly in time.

说明：  一种基于PN训练序列的OFDM时频同步的新算法。通过构造倒序结构的同步训练序列(PN training sequence based on the OFDM time and frequency synchronization of the new algorithm. Structure by constructing a reverse synchronization of training sequences)

无线信道ARMA仿真,用Matlab进行编程 仿真 并与AR模型进行比较(A module with wireless path simulationbased on ARMA )

自适应语音抵消算法，用于语音增强，和语音降噪。开发环境matlab(Adaptive Speech cancellation algorithm for speech enhancement, noise reduction and voice. Matlab development environment)

用matlab分析传统光学系统中加入三次相位掩模板之后所获得的光线像差(Analysis using matlab conventional optical system by adding three phase mask obtained after the aberration of light)

使用栅格法通过蚁群算法规划机器人全局路径(By using the grid method of ant colony algorithm robot global path planning)

说明：  《M-files for "Neural Networks"》神经网络的一些MATLAB源程序，M-files for demos, exercises, and implementations. 作者：Herve Abdi ("M-files for" Neural Networks "," some of the neural network MATLAB source, M-files for demos, exercises, and implementations. Author : Herve Abdi)

matlab example shows you can work that easily.