exm09312_1

Sparse MRI Sparse MRI reconstruction based compressed sensing(Sparse MRI reconstruction based compressed sensing Sparse MRI reconstruction based compressed sensing)

Gert Cauwenberghs写的一个增量型支持向量机，非常有用的(Gert Cauwenberghs wrote a incremental support vector machive. It is very useful for learning about it.)

this is a diagram in parks transformation

asK matlab modulation

it music on e dimentional doa estimation

Multiple motion detection matlab code

This is about Digital signal processing.

这是我的本科毕业设计，题目为MIMO-OFDM技术的研究及matlab仿真。文件里包含流程图，仿真参数设置图，源程序和仿真图以及中英文翻译。(This is my graduation design, titled MIMO-OFDM technology research and matlab simulation. File contains a flow chart, the simulation parameters, source code and simulation map and in English translation)

介绍了 Cohen类双线性时频分布并针对交叉干扰项影响无法完全消除的问题进行了重排时频变换以提取及分辨 含有白噪声和窄带周期干扰的局部放电信号。处理仿真和现场检测到的局部放电超声信号时根据白噪声和窄带 周期干扰信号在时域上的平稳性特性发现重排 Cohen类时频变换方法不仅可以很好地将局放信号和背景噪声以 及窄带周期干扰信号分辨开来,而且大大减弱并抑制了交叉干扰项的影响,保持了更高的时频分辨率和时频聚集 性,从而验证了重排 Cohen类时频变换方法的有效性。 (In order to express the partial discharge ( PD) information of gas insulated switchgear ( GIS) in time-frequency domain, weintroduced theCohen? s class bilinear time-frequency distribution and its reassigned time-frequency transform method to pick up and distinguish theultrasonic signals in field from the whitenoises and narrow band periodic interference signals using the acousticemission ( AE) technology. After the processing of the simulated and PD ultrasonic signals in field, and according to the stationary feature of white noises and narrow band interference signals, wedraw a conclusion that the reassigned time-frequency distribution method can not only distinguish thePD signal from back ground noises and narrow band interference signals, but also decrease and restrain the influenceof cross-items, and acquire better time )

说明：  matlab中微分方程的解法，及其应该注意的问题(matlab in the solution of differential equations, and should pay attention to the issue of)