isplc2013_cyclic_noise_analysis

说明：  14节点潮流程序设计基于matlab能很好收敛，扩展性强(Current program design is based on 14 nodes can be very good convergence matlab, expandability)

PSPICE and MATLAB for Electronics

用来估计病态线性方程组正则化求解时的误差。(To estimate the error of regulation method for the ill-conditioned system of linear equations)

说明：  在高斯信道下的最大最小中继选择算法的放大转发中继(Amplify and forward relay under max min relay selection algorithm)

提取信号七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，一个信号段的归一化瞬时频率功率谱密度的最大值，根据信号 QPSK 和16QAM在 XI 轴投影的不同表现，提出特征参数。(extract information based on the instan eous features : 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, a signal to one of the instantaneous frequency of the power spectral density of the maximum, According to 16QAM and QPSK signals XI axis projection in the different performance parameters raised.)

matlab平台上的多重信号处理算法的DOA测角，信噪比，快拍数，信号源数对功率谱的影响(matlab platform, multi-signal processing algorithms DOA angle, signal to noise ratio, the snapshot number, the source of the power spectrum of several)

小波包分析提取振动信号中的特征频率，本程序的性能已经超过其他算法，信号维数的估计。( Wavelet packet analysis to extract vibration signal characteristic frequency, This program has exceeded the performance of other algorithms, Signal dimension estimates.)

说明：  该算法是结合减法聚类与FCM聚类算法融合的远代码。算法通过融合这两种算法，从而可以直接在线确定聚类数目。(The algorithm is combined with Subtractive Clustering with FCM Clustering Algorithm far integration code. Algorithm through the integration of these two algorithms, which can be directly online to determine the number of clustering.)

在Matlab simulink环境下编写的在滑模控制模型的四分之一车模型。 经仿真效果很好(In Matlab simulink environment written in the quarter-car model sliding mode control model. The simulation works well)

从前用matlab编的人脸识别的特征提取以及识别程序，希望有用(The previous series of face recognition using matlab feature extraction and identification procedures, seek to help)