multiphase_odd

介绍matlab使用的例子，大约300个左右欢迎大家下载(Introduction matlab example of the use of about 300 or so are welcome to download)

说明：   在高阶谱分析工具箱是一个M文件集合实施了多种先进的信号处理算法的频谱估计，polyspectral估计，时频分布计算，并包含许多实际应用如时延估计，谐波恢复，参数估计的Volterra（非线性）模型，以及自适应线性预测。其他潜在的应用包括音响，生物医学，经济学，地震勘探，无损检测，海洋学，等离子体物理，雷达，声纳，语音等(The Higher-Order Spectral Analysis Toolbox is a collection of M-files that implement a variety of advanced signal processing algorithms for spectral estimation, polyspectral estimation, and computation of time-frequency distributions, with applications such as time delay estimation, harmonic retrieval, parameter estimation of Volterra (nonlinear) models, and adaptive linear prediction. Other potential applications include acoustics, biomedicine, econometrics, exploration seismology, nondestructive testing, oceanography, plasma physics, radar, sonar, speech etc. )

Neuron system spike train

遗传算法的简单例子，matlab的.m文件(genetic algorithm)

说明：  这是一个关于扩展卡尔曼滤波的源程序，可以帮助初学者学习该滤波算法(This is an extended Kalman filter on the source, can help beginners learn the filtering algorithm)

小波包分析提取振动信号中的特征频率，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述。( Wavelet packet analysis to extract vibration signal characteristic frequency, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Monte Carlo simulation method of calculating the American option price and basic description.)

实现matlab很多功能的源代码，可能是书配的光盘(Achieve a lot of function in matlab source code, are probably book with CD-ROM)

说明：  matlab实现的一个粒子滤波程序，可以用于目标跟踪领域。(matlab program to achieve a particle filter can be used for target tracking.)

研究生毕业论文中的一部分MATLAB源代码，实现压缩卡尔曼滤波算法，包含了仿真结果。(Graduate thesis part of the MATLAB source code, to achieve compression Kalman filter algorithm, including the simulation results.)

凿孔的matlab代码，本人调试通过可以直接运行 有凿孔和解凿孔两个部分，加在卷积编码模块后，提高传输速率和信道利用率，但也相应地降低了卷积码的性能(Perforated matlab code, I can run a debugging through reconciliation punctured punctured two parts, plus the convolution coding module, to improve the transmission rate and channel utilization, but also a corresponding decrease in the performance of convolutional codes)