xindaorongniang

说明：  基于802.16d的WiMax系统仿真代码(802.16d WiMax system simulation based on the code)

这个说明倒不是说明函数的功能，只是声明一下函数中出现的问题。 shortest()函数没有问题，在secshortest中我希望只得到一条次短路（或几条roadcost()值相同的次短路），结果却出来好几条，我仔细检查了一下程序，应该没有什么问题。 因此在使用时，要得到次短路，只能用roadcost()函数分别求一下各条路的权重和，找到最小的。 有些奇怪 (Note that this is not the function of function, but a statement about the problems in function. shortest () function there is no problem, I hope that in secshortest only a short time (or several roadcost () times the value of the same short-circuit), the result is several out, I carefully examined the process, it should be no problem. Therefore, in use, to be at a short circuit can only be used roadcost () function, respectively, for some of the weight of the road and find the smallest. Some strange)

四边形八节点等参单元matlab，多用于工程基础编程，较为简单(Quadrilateral eight-node isoparametric elements matlab, used for engineering-based programming, a relatively simple)

nmikhore man nmidonam in chiye tamom

Edge Detect using 3 masks

地震资料处理，时频分析里的wiggle变换(Seismic data processing, time-frequency analysis in the transform wiggle)

说明：  分为三个函数，第一个函数的功能是用于读取ecg信号，找到小波变换模极大序列；第二个函数是子程序，用于多分辨率分解，使用 A trous 算法在分解的过程中，同时给出各级的细节和概貌，它们和原数据有着同样的长度；第三个函数是函数子程序，用于多分辨率分析中的重建。(Divided into three functions, the function of the first function is used to read the ecg signal, find the wavelet transform modulus maxima sequence second function is a subroutine for use in multi-resolution decomposition, the decomposition algorithm using A' trous process, and gives details of all levels and profiles, they are the original data have the same length third function is a function subprogram, for multi-resolution analysis of the reconstruction.)

Matlab环境下利用霍夫变换和椭圆标准公式，在二值图像上自动检测椭圆并标记。(Matlab environment using Hough transform and oval standard formula, the binary image automatically detect and mark the ellipse.)

本人收集的几十篇关于小波去噪的论文，对于各个领域研究去噪的朋友有很大帮助(I collected dozens of papers on wavelet denoising, for research in various fields Denoising friends are very helpful)

target tracking The CV and CA models can be used to model the distance between front and host vehicles, but we don’t know when a specific model should be used. The interacting multiple model (IMM) estimator [1] is an algorithm which can be used to handle such case. In IMM algorithm, at time k the previous estimates from the multiple models are mixed based on the mixing probabilities to generate different mixed initial conditions for different filters.