mulNumYT-mulRank1

PHS多天线基带调制与解调MATLAB程序(multiple antenna PHS baseband modulation and demodulation )

说明：  自适应lbp算法，用MATLAB语言写。(Lbp adaptive algorithm, written by MATLAB language.)

SIGMA DELTA MODULATOR

用FDTD的方法对光子晶体里面的电磁波的传输特性进行模拟。 用MATLAB编写程序(With the FDTD method on photonic crystal inside the simulated transmission characteristics of electromagnetic waves. Write programs using MATLAB)

Simulink all digital plll

利用基于生理的情感神经网络，包含杏仁体，丘脑，视觉神经等重要元素，可用于分类与预测，性能优越于SVM(The use of neural network based on emotional physiology, contains important elements of the amygdala, thalamus, optic nerve, etc., can be used for classification and prediction, superior performance to SVM)

基于改进粒子群算法的BP神经网络及其应用 里面很好的介绍了粒子群的优化效果(Particle swarm optimization based on improved BP neural network and its application within a very good introduction to the effects of particle swarm optimization)

其中包括 matlab PPT版本介绍 和 MATLAB实例源文件()

The basic steps of the edge-based text extraction algorithm are given below 1. Create a Gaussian pyramid by convolving the input image with a Gaussian kernel and successively down-sample each direction by half. (Levels: 4) 2. Create directional kernels to detect edges at 0, 45, 90 and 135 orientations. 3. Convolve each image in the Gaussian pyramid with each orientation filter. 4. Combine the results of step 3 to create the Feature Map. 5. Dilate the resultant image using a sufficiently large structuring element (7x7 [1]) to cluster candidate text regions together. 6. Create final output image with text in white pixels against a plain black background.

说明：  radial distribution load flow by D. Das