lorenz_lyapunov

说明：  利用互信息法求得混沌时间序列相空间重构最优化时延的Matlab程序(use of mutual information obtained chaotic time series reconstruction phase space optimization procedures Matlab Delay)

粒子滤波的Matlab仿真算法实现  一个粒子滤波Matlab算法(Matlab simulation algorithm particle filter algorithm to achieve a particle filter Matlab)

matlab函数大全，是广大爱好者的极好的学习工具(matlab function Guinness, the vast number of fans an excellent learning tool)

在计算机上产生一组实验数据，首先产生一段零均值白噪声数据u（n）,令功率为 ，让u(n)通过一个三阶FIR： 得到y(n). .y(n)上加三个实正弦信号f1’=0.1,f2’=0.25,f3’=0.26调整 和正弦信号幅度信噪比大致为10dB,50dB,50dB. (1) 令N=256,描绘xn波形； (2)得出真实功率谱密度 . (3) 利用此实验数据Pisarenko谐波分解法估计该实验数据的正弦频率及幅度。 (On the computer to generate a set of experimental data, first generate a zero mean white noise data u (n), so that power, let u (n) through a third-order FIR: get y (n).. Y (n) added three real sinusoidal signal f1 ' = 0.1, f2' = 0.25, f3 ' = 0.26 and sine signal amplitude adjustment signal to noise ratio is approximately 10dB, 50dB, 50dB. (1) that N = 256, depicted xn waveform (2) the true power spectral density obtained. (3) using this experimental data, Pisarenko harmonic decomposition method to estimate the experimental data of the sinusoidal frequency and amplitude.)

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SYNAPSE library aims to create complete library of classes and functions that would markedly simplify application programming of network communication using Winsock.

自己写的MATLAB程序，用于已知2个单位向量，求它们的旋转矩阵。非迭代法。 另有一个绝对定向程序。(Write their own MATLAB for 2 unit vector, known for their rotation matrix. The iterative method. There is another absolute orientation program.)

鲁棒性好，性能优越，采用加权网络中节点强度和权重都是幂率分布的模型，三相光伏逆变并网的仿真，包含优化类的几个简单示例程序，用于特征降维，特征融合，相关分析等,使用起来非常方便。 ( Robustness, superior performance, Using weighted model nodes in the network strength and weight are power law distribution, Three-phase photovoltaic inverter and network simulation, Optimization class contains several simple sample programs, For feature reduction, feature fusion, correlation analysis, Very convenient to use. )

基于标量量化的图像多描述编码（MDSQ）是提高信息传输质量的一种有效方法,本程序利用Matlab 工具在处理矩阵上的灵活性,实现了MDSQ 算法, 并通过解码后的图像证明该方法良好的多描述性能。(Scalar quantization-based image multiple description coding (MDSQ) is to improve the quality of information transmission of an effective method, the procedures for the use of Matlab tool flexibility matrix treatment, realized MDSQ algorithm, and through decoded images show that the method good performance of multiple description.)

语音信号处理教材中，如何训练码书，从这段程序中可以简单地看出(Speech signal processing textbooks, how to train codebook, can simply be seen from this program )