exp_pidfuu

无循环实现S变换，S变换在信号分析中十分有效，它的时空分辨率要高于小波变换，效率很高的程序(This code computes the Stockwell transform (S-Transform) of a one dimensional series without for loop, thereby making it computationally fast and simple. S-Transform was proposed in 1996. A nice tutorial on S-Transform can be found here: djj.ee.ntu.edu.tw/S_Transform.pdf‎ )

阶比分析文件。特别适合对数据进行处理，特别别是信号处理。(Order analysis files. Particularly suitable for data processing, signal processing is not particularly.)

重要参数的提取，包括单边带、双边带、载波抑制及四倍频,使用混沌与分形分析的例程。( Extract important parameters, Including single sideband, double sideband, suppressed carrier and quadruple, Use Chaos and fractal analysis routines.)

该算法是粒子群算法和网格直接搜索算法的结合，具有稳定性高的优点。(This is a combination of particle swarm optimization algorithm and grid direct search algorithm.)

光子晶体的电场的分布图的程序，可以显示场的分布图。(The program of the distribution of electric field in photonic crystals)

该程序源代码实现了CDMA通信系统性能的仿真，用MATLAB实现了直序、跳时、跳频以及M序列，GOLD序列等的产生，及在AWGN和RAYLEIGH环境下误码率的计算(The program source code to achieve the performance of CDMA communication system simulation, using MATLAB realize the direct sequence, time hopping, frequency hopping and M sequences, GOLD sequence generation, and in the AWGN environment and RAYLEIGH BER calculation)

主要内容：小波分析在语音信号处理、图象处理与编码、边缘提取与重建等(Main content: wavelet analysis in the speech signal processing, image processing and encoding, edge detection and reconstruction, etc.)

高速铁路路基沉降是一个复杂的系统过程,涉及不同时期、不同工况,选用单一的预测模型不足以反映路基整体的变形规律.Logistic模型及Verhulst模型的曲线均为S形,可以反映全过程的地基沉降与时间的关系.针对路基填筑期和降水期两个时段利用MATLAB软件编制程序计算模型参数,得到Logistic模型和灰色Verhulst模型,进而求得两者的最优加权组合模型.对比结果表明:在路基填筑期由两者的最优加权组合模型预测得到的结果与实测结果较吻合,拟合精度高于单一模型 而在降水期Verhulst模型的预测值更接近实测值,平均相对误差约为1.75％,拟合精度较高.(High-speed railway subgrade settlement process is a complex system involving different times and in different conditions, the choice of a single forecasting model does not adequately reflect the overall deformation of roadbed. Curve Logistic model and Verhulst models are S-shaped, the whole process can be reflected foundation settlement versus time. against roadbed construction period of two hours and precipitation using MATLAB software programming model parameters, the Logistic model and gray Verhulst model, and then get the optimal model of a weighted combination of the two. comparative results indicate : results and experimental results in the roadbed construction period by the weighted combination of the best of both models predicted than the anastomosis fitting accuracy than a single model precipitation predicted value of Verhulst model closer to the actual value of the average relative error approximately 1.75 fitting accuracy.)

内含用神经网络进行信号处理的两个实例，采用MATLAB编写。(Intron with neural network signal processing of two examples of using MATLAB to prepare.)

语音信号端点检测方面的源程序，比较实用．(Voice signal endpoint detection of the source area, more practical.)