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鱼群算法的matlab工具箱，可在matlab中设定路径进行使用(yuqunsuanfa tool for matlab, fish swarm algorithm matlab toolbox)

Power Systems Oscillations C4 examples

这是一个好用的频偏估计算法的mmatlab仿真程序，谢谢使用。 (This is an easy to use Frequency Offset Estimation Algorithm mmatlab simulation program, and thank you to use.)

分别使用矩形窗和汉明窗函数设计一个线性相位FIR低通滤波器，使其逼近理想低通滤波器的频率特性。采用频率抽样法设计FIR数字低通滤波器滤波器。(Using rectangular window and hamming window function to design a linear phase FIR low-pass filter, the frequency characteristics of the ideal low-pass filter. Frequency sampling method is used to design FIR digital filter based on low-pass filter.)

solving numerical state space system with Fuzzy method

简单的支持向量机工具箱，包含几种简单的核函数(Simple support vector machine (SVM) toolkit that contains several simple kernel function)

这是一个基于MATLAB的机器视觉工具箱,里面用很多非常有价值的的程序(This is a MATLAB-based machine vision tool kit containing a lot of very valuable process)

一些直流电动机的制动matlab例子，很经典实用(DC motor braking matlab example, it is classic and practical)

说明：  压缩感知（Compressive Sensing(CS)，或称Compressed Sensing、Compressed Sampling）。该理论指出：对可压缩的信号可通过远低于Nyquist标准的方式进行采样数据，仍能够精确地恢复出原始信号。该理论一经提出，就在信息论、信号/图像处理、医疗成像、模式识别、地质勘探、光学/雷达成像、无线通信等领域受到高度关注，并被美国科技评论评为2007年度十大科技进展。(Compressed Sensing (Compressive Sensing (CS), known as Compressed Sensing, Compressed Sampling). The theory states: compressible signal can be much lower than the Nyquist criterion for sampling data, and still be able to accurately recover the original signal. The theory was put forth, to receive significant attention in the field of information theory, signal/image processing, medical imaging, pattern recognition, geological exploration, optical/radar imaging, wireless communications, and Technology Review named the 2007 top ten scientific and technological progress.)

短时交通流预测是实现交通流诱导的关键技术之一。短时交通流因为其不确定性等特点而使其预测很复杂。本文通过实地调查获取的交通流量数据，分别采用移动平均法、指数平滑法、AR模型法三种交通流预测方法进行短时交通流量预测。(Traffic flow forecasting is one of the key technologies to achieve traffic induced. Traffic flow because the characteristics of its uncertainty and make it very complicated to predict. Traffic data presented herein obtained through field surveys were used moving average, exponential smoothing, AR model method in three short-term traffic flow forecasting method to predict traffic flow.)