Newton_cankao

Max Lyapunov 可以计算最大的Lyapunov 指数(Max LyapunovMax Lyapunov 可以计算最大的Lyapunov 指数Max Lyapunov 可以计算最大的Lyapunov 指数)

peer pressure聚类算法 可以实现社会网络的简单聚类分析。(peer pressure clustering Algorithm)

说明：  RGB与HSI模型转换matlab程序,一种很高效的定位处理程序(Convert RGB and HSI model matlab program, a very efficient positioning handler)

基于时频的多元数据同步挤压分析，变换的多变量时频表示的基础上，执行同步挤压。(When multivariate data base frequency synchronization squeeze analysis, multivariate conversion frequency representation based on the synchronization squeeze.)

ofdm最简单平台，加入加兴高斯白噪声，其他模块需要自己添加(ofdm The easiest platform)

wimax物理层模块表述以及各模块功能性描述(wimax physical layer module expression and functional description of each module)

induction motor dq model in matlab code not simulink

利用单纯形法求解，该方法简单易懂，有本人亲自编写，内容正确。(Use simplex method, the method is simple and easy to understand, has personally written content correctly.)

Analysis of Digital Modulation with Unequal Power Allocation

信号与系统基础知识包括连续信号与模型、离散信号与模型；常用信号变换包括Z变换、Chirp Z变换、FFT变换、DCT变换和Hilbert变换等；离散系统结构包括IIR、FIR和Lattice结构；IIR滤波器设计包括模拟和数字低通、高通、带通与带阻滤波器设计，以及基于冲激响应不变法和双线性Z变换法的IlR滤波器设计等；FIR滤波器设计包括基于窗函数、频率抽样法和切比雪大逼近法的FIR滤波器设计；平稳信号分析包括经典功率谱估计、基于参数模型的功率谱估计和基于非参数模型的功率谱估计；非平稳信号分析包括STFT变换、Gabor展开、Wigner-Ville分布与Choi-Williams分布；非高斯信号分析包括基于非参数法的双谱估计、基于参数模型的双谱估计，以及双谱估计的应用；信号处理的GUI实现包括滤波器设计与分析的FDATool工具和滤波器设计与信号分析的SPTool工具。(signals and systems based on knowledge, including continuous signal with the model, discrete signal and model; Common signals include transform Z transform, chirp Z-transform, FFT transform. DCT and Hilbert transform; Discrete system architecture including IIR, FIR and Lattice structure; IIR filter design, including analog and digital low-pass, high-pass, band-pass and band stop filter design, Based on the impulse response of the same law and bilinear Z transform the IlR filter design; FIR filter design including on the basis of the window function, frequency sampling and snow all over the big approximation of FIR filter design; stationary signal analysis include classical power spectrum estimation, Based on the model parameters of the power spectrum estimation and non- parametric model b)