3105130

详细介绍PCNN算法用于lena图像分割的实例，并用matlab实现(Detailed the PCNN algorithm for instance lena image segmentation and implemented using matlab)

说明：  雷达模拟LFM脉冲信号，模拟目标回波（目标距离50km，速度100m/s）和噪声信号（信噪比）(Radar simulated LFM pulse signal, simulated target echo (target distance 50km, speed 100M / s) and noise signal (signal-to-noise ratio))

基本实现光流法，可以显示出两张图片中，光流的方向。(The basic realization of optical flow method, can show two pictures of the direction of flow.)

消除波面倾斜的函数，可以用于将波面的倾斜消去(Elimination wavefront tilt function, can be used to eliminate the inclined wavefront)

高速机动目标检测跟踪的程序，好不容易写的，请珍惜(High-speed target detection)

2-band discrete wavelet transform (DWT) Dual-Tree Complex Wavelet Packet(The 2-band discrete wavelet transform (DWT) provides an octave-band analysis in the frequency domain, but this might not be ‘optimal’ for a given signal. The discrete wavelet packet transform (DWPT) provides a dictionary of bases over which one can search for an optimal representation (without constraining the analysis to an octave-band one) for the signal at hand. However, it is well known that both the DWT and the DWPT are shift-varying. Also, when these transforms are extended to 2-D and higher dimensions using tensor products, they do not provide a geometrically oriented analysis. The dual-tree complex wavelet transform (DT-CWT), introduced by Kingsbury, is approximately shift-invariant and provides directional analysis in 2-D and higher dimensions. In this paper, we propose a method to implement a dual-tree complex wavelet packet transform (DTCWPT), extending the DT-CWT as the DWPT extends the DWT. To find the best complex wavelet packet frame for a given signal, w)

此程为目标检测算法程序，采用经典的光流算法，最后可以的到一个运动光流图。(This process procedures for the target detection algorithm, using the classical optical flow algorithm, and finally to a movement to the optical flow diagram.)

用SLM法降低PAPR的CCDF,调用SLM函数来实现，毕业设计很有用的源代码(SLM method used to reduce PAPR of the CCDF, call the SLM function to achieve graduation design of the source code is useful)

说明：  用于图像边缘检测，使用matlab检测图像边缘特征(For image edge detection, use matlab to detect image edge features)

说明：  一种实现超分辨率图像处理的新算法,本算法在综合前人算法的基础上，做了很大改进。很适合图像处理。(An implementation of the new super-resolution image processing algorithms, the algorithm in integrated algorithm based on the predecessors has done a lot of improvements. Very suitable for image processing.)