CAPM

Finite difference Methods

ai prolog examples ai prolog examples ai prolog examples ai prolog examples ai prolog examples (ai prolog examples)

基于DSB算法的调制与解调技术，在simulink平台的仿真实现(DSB modulation and demodulation techniques based algorithm, implemented in the simulation platform simulink)

说明：  Matlab 数字信号发生器 能产生正弦方波三角波等常见的波形数字信号，并提供了图形界面(matlab )

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)

2014美赛相关MATLAB程序（基于NS模型）(about traffic flow)

说明：  QAM 的MATLAB仿真，可以根据自己的需要拆开使用，仿真测试通过(QAM of the MATLAB simulation, can be used according to their needs apart, the simulation test by)

锅炉燃烧过程MATLAB仿真程序，很简单很容易(MATLAB simulation program the boiler combustion process is very simple and very easy)

LMS算法，实现自适应滤波，效果还可以，大家可以看看(LMS algorithm, adaptive filter, the effect can be, we can see)

分类器，用于识别数字，可以做到二分类，比如，分辨0和1。(Classifier for identifying numbers, you can do two classification, for example, distinguish between 0 and 1.)