辛烷值预测

非常好的一个MATLAB GUI学习实例！！！(Very good example of a MATLAB GUI learning! ! !)

OFDMsimulink技术的分析模拟仿真，适合研究OFDM技术的人群，比如毕业设计(OFDMsimulink technology analysis simulation, appropriate to study the crowd OFDM technology, such as the graduation project)

gmsk仿真程序，相干解调实现方法。。还是很好用的。。。(gmsk simulation program, to achieve coherent demodulation method. .)

能够跟踪视频中简单背景下的移动物体。 Matlab运行后有相应界面，先选择视频，然后按“跟踪”键开始处理。(This is able to track moving objects with a simple background. After running the corresponding Matlab interface, the video, then press the track button to begin processing.)

多目标优化问题，用matlab来实现，即实现了图像功能，更能够体现人的思想(Multi-objective optimization problem, using matlab to achieve, namely to achieve the image function, better able to reflect people' s thoughts)

matlab code for golay

Unified power quality conditioners (UPQCs) allow the mitigation of voltage and current disturbances that could affect sensitive electrical loads while compensating the load reactive power. This paper deals with unified power quality conditioner (UPQC), which aims at the integration of series-active and shunt-active power filters.

This zip-file contains 7 codes which implement the 1 dimension programs from Sullivan´ s book for beginners, with some corrections.

Gabor小波变换技术对医学CT图像进行纹理特征分类时，由于图像拍摄角度的变化会造成分类的误差。针对以上问题，在Gabor小波变换的基础上提出一种用于分析旋转不变医学图像的方法。该方法采用旋转规范化，即特征元素的循环移位使规范化后所有的图像都具有相同的主方向。实验结果表明，加入旋转规范化循环算子的Gabor小波变换在医学CT图像纹理特征分类时能够达到较好的精确度。(Gabor wavelet transform lacks in its ability to classify the medical CT image if it’s rotation invariant image. Aiming at the problem, an approach is presented for rotation invariant medical texture classification based on Gabor wavelet transform. Rotation normalization is achieved by circular shift of the feature elements, so that all images have the same dominant direction. Experimental result shows that Gabor wavelet transform with circular operator of rotation normalization has well precision to classify the medical CT image.)

本程序可以实现利用神经网络算法对倒立摆的稳定控制(Stability control procedures can be achieved using neural network algorithm for inverted pendulum)