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article of Pseudo Wigner-Ville Distribuition

114个数字图像处理MATLAB实验程序(114_image_processing_programs_by_MATLAB)

说明：  k均值聚类+matlab 有详细的注释和图片(failed to translate)

这是一个用Vb语言实现kalman滤波的源程序，用doc格式来保存。(this is a vb-langu-kalman file .)

，用MATLAB实现快跳频通信系统的仿真。主要应用了SIMULINK和COMMUNICATION BLOCKETS两个模块。整个设计包括了信源产生部分、发送部分、跳频调制部分、信道部分、接收部分和结果分析部分共六个模块，核心技术是伪随机序列的产生和频率合成器的设计，而关键技术是收发两端的伪随机码元的同步。伪随机码的产生用S－函数编程来开发自己的SIMULINK模块。同步的实现是收发两端采用相同的扩频脉冲触发。而且在设计中每个模块都采用了模块封装技术，从而简化了框图结构(Using MATLAB to achieve fast frequency-hopping communication system simulation. The main use of SIMULINK and COMMUNICATION BLOCKETS two modules. The whole design, including part of the generated source, sending part of some frequency-hopping modulation, channel of the receiving part and the results of analysis of part of a total of six modules, the core technology is the emergence of pseudo-random sequence and frequency synthesizer design, and the key technology is the transceivers at both ends of the pseudo-random synchronization symbol. Pseudo-random code generated by S-function programming to develop their own modules SIMULINK. Synchronization is used to send and receive ends of the same spread-spectrum pulse trigger. But also in the design of each module using the module packaging technology, which simplifies the structure of the diagram)

space coding with maxima ratio combining.

采用bp神经网络对函数y=sin（x）进行训练，然后用测试集对训练的函数进行测试，也就是函数逼近sin（x)的曲线(Bp neural network using the function y = sin (x) for training, and then use the test set to test the training function, that is, function approximation sin (x) curve)

心电信号的hurst指数算法，利用该指数可以用于区别正常心电信号和窦性房型早搏的心电信号(Hurst index ECG algorithm, using the index can be used to distinguish between normal sinus ECG and ECG chamber premature)

tricolor attenuation model

图像的二维反卷积，其中包括butterworth的低通滤波等多项功能(This used the same script as for butterworth2.m example。 Low Pass Filter to create a blurred image. Simply do deconvoution of butterworth low ass(divide rather multiply) to invert the result Note in practice the ideal forward blurring function will not be known SO results will not be so perfect.)