UPML

matlab的基本实现函数有图 例如求代数方程3x5+4x4+7x3+2x2+9x+12=0的所有根。（利用roots函数）(The basic realization of matlab function has a plan such as the algebraic equation 3x5+4 x4+7 x3+2 x2+9 x+12 = 0 for all roots. (Using the roots function))

用IEEE14个节点，通过matlab编程行电力系统潮流分析，直接运行即可得到结果，与标准符合。(using the matlab do the power system analysis,the system is the IEEE standard 14 nodes model)

这是一个超短波地面反射双线信道模型的matlab程序。(This is a reflection FM ground dual channel model Matlab procedures.)

偏微分方程的MATLAB解法 对学习matlab环境下计算偏微分方程有很好的帮助。同时，也可以用其中的PDEOOL为计算流体力学中的二维问题生成三角形网格，减少前处理工作量(Solution of Partial Differential Equations MATLAB computing environment for learning matlab partial differential equations have a good help. Also, you can use one of the PDEOOL for the two-dimensional computational fluid dynamics problems in the triangular mesh generated, reduce the workload of pre-treatment)

Flow using diffuse connectivity Research code. Not for commercial use. If you use this code for results in your papers, please cite: A roadmap to the integration of early visual modules, A. S. Ogale and Y. Aloimonos, International Journal of Computer Vision: Special Issue on Early Cognitive Vision Usage: [bestshiftsX, bestshiftsY, occlL, bestshiftsRX, bestshiftsRY, occlR] = flow(iLt, iRt, shiftrangeX, shiftrangeY, alpha) Created by: Abhijit Ogale (ogale@cs.umd.edu)

说明：  此程序通过采样产生了一个非常标准的BPSK信号，是理解通信原理数字调制的好帮手(his procedure generated by sampling a very standard BPSK signal, digital modulation is to understand the principles of good communication assistant)

用内点法实现电力系统潮流的优化问题上，代码完整，已经通过测试(Interior point method for power system optimization)

利用matlab对图像进行灰度调整、拉伸处理和边缘检测(Use matlab image grayscale adjustment, stretch processing and edge detection)

Wavelet Subband coding for speaker recognition The fn will calculated subband energes as given in the att tech paper of ruhi sarikaya and others. the fn also calculates the DCT part. using this fn and other algo for pattern classification(VQ,GMM) speaker identification could be achived. the progress in extraction is also indicated by progress bar.(Wavelet Subband coding for speaker recognitionThe fn will calculated subband energes as given in the att tech paper of ruhi sarikaya and others. The fn also calculates the DCT part. Using this fn and other algo for pattern classification (VQ, GMM) speaker identification could be achived. the progress in extraction is also indicated by progress bar.)

dijstra algorithm..this is the trial version i tried to implement it on matlab