Dijkstra-Shortest-Path

this file implement stochastic method in pattern recognition

非线性回归通用程序,稍加修改即可用于各种非线性回归(General non-linear regression procedures, a little modification can be used for various non-linear regression)

2种信道估计算法LS和MMSE的仿真 以均方误差为指标(Two kinds of channel estimation algorithm for LS and MMSE simulation to mean square error for the indicators)

为了解决二进制CS而编写的算法，使用了用l2范数最小化(an algorithm for binary CS,using l2 norm)

说明：  隐马尔科夫模型是关于时序的概率模型，描述由一个隐藏的马尔科夫链随机生成不可观测的状态随机序列，再由各个状态生成一个观测而产生观测序列的过程。隐藏的马尔科夫链随机生成的状态的序列，称为状态序列；每个状态生成一个观测，而由此产生的观测的随机序列，称为观测序列。马尔科夫链由初始概率分布、状态转移概率分布以及观测概率分布确定(The hidden Markov model is a probabilistic model for time series. It describes the process of randomly generating unobservable state random sequences from a hidden Markov chain, and then generating an observation by each state to produce an observation sequence. A sequence of randomly generated states of hidden Markov chains, called a sequence of states; each state produces an observation, and the resulting random sequence of observations is called an observation sequence. Markov chain is determined by initial probability distribution, state transition probability distribution and observation probability distribution)

example of matlab,optimization method which is used with different model.it will be useful for whom they want to learn Matlab by themselves

包含M文件，培训和跟踪落实的噪音中描述的算法： [1] J.S.厄克伦斯和R. Heusdens，“非平稳噪声跟踪基于数据驱动的递归噪声功率的估计”，IEEE期刊。音频，语音卷。 16，第6页。1112年至1123年，2008年8月。 见Description.doc在zip文件。(Contains m-files to train and implement the noise tracking algorithm described in: [1] J.S. Erkelens and R. Heusdens, "Tracking of nonstationary noise based on data-driven recursive noise power estimation", IEEE Trans. Audio, Speech & Lang. Proc., Vol. 16, No. 6, pp. 1112-1123, August 2008. See Description.doc in the zip-file. )

Adaptive Generation Method of OFDM Signals in SLM Schemes for Low-complexity

说明：  在考虑汽车零部件包装箱长、宽、高等三维尺寸的约束下，以配送中心为原点，分派多辆同一规格的货车到n个供应商处取货，最后回到配送中心。本章所构建的三维装载约束下的汽车零部件循环取货路径优化模型要解决的问题是确定循环取货路径，要求充分考虑汽车零部件在货车车厢中的三维装载位置，确保每个供应商处的零部件均能成功装载，尽可能使车辆装载率最大，且所有车辆的总行驶路径最短。(In considering the auto parts box length, width, higher dimensional size constraints to the distribution center as the origin, a multi-vehicle dispatch trucks to the same specifications of the pick n suppliers, and finally back to the distribution center. Auto Parts Pick cycle path constructed three-dimensional loading constraints under chapter optimization model to solve the problem is to determine the circulation pickup path requires full consideration in boxcars loaded in three-dimensional position of auto parts, to ensure that each vendor Parts can successfully loaded, as the vehicle maximum loading rate, and the total of all vehicles traveling the shortest route.)

双馈风机模型，基于matlab/simulink软件实例，修改参数后得到，能实现顺利运行。(DFIG model, based on matlab/simulink software instances, the modified parameters obtained, to achieve a smooth operation.)