xiaobo2

给定观测序列 O=O1O2O3…Ot和模型参数λ=(A,B,π)，怎样有效计算某一观测序列的概率，进而可对该HMM做出相关评估。例如，已有一些模型参数各异的HMM，给定观测序列O=O1O2O3…Ot，我们想知道哪个HMM模型最可能生成该观测序列。通常我们利用forward算法分别计算每个HMM产生给定观测序列O的概率，然后从中选出最优的HMM模型。(Given the observation sequence O = O1O2O3 ... Ot and model parameters λ = (A, B, π), how to effectively calculate the probability that a single observation sequence, and thus can make the relevant assessment of the HMM. For example, there are a number of different model parameters HMM, given the observation sequence O = O1O2O3 ... Ot, we want to know which model is most likely to generate the HMM observation sequence. Usually we use forward algorithm calculates the probability of a given observation sequence O generated for each HMM, HMM and then to choose the best model.)

使用ｍａｔｌａｂ计算交易价的ＶＷＡＰ。是程序化交易和算法交易的必备代码。(Matlab calculate the trading price of the VWAP. Program trading and algorithmic trading must code.)

matlab软件的使用方法，很好，很清晰。。。(Matlab about software to use, very good, very clear. . .)

matlab中的一个zoomfft例程，用于对fft频谱细化，以得到更大的分辨力。(zoomfft)

利用MUSIC算法对函数的频率进行估计并画出图形(you can obtain frequency of the function by the MUSIC algorithm and get the figure)

说明：  约瑟夫问题的实现：设有n个人围坐在圆桌周围，现从某个位置m（1≤m≤n）上的人开始报数，报数到k的人就站出来。下一个人，即原来的第k+1个位置上的人，又从1开始报数，再报数到k的人站出来。依此重复下去，直到全部的人都站出来为止。试设计一个程序求出出列序列。(Joseph realized the problem: There are n people sitting around the round table, is from a position of m (1 ≤ m ≤ n) reported on the number of people began to be reported to the k number of people to come forward. The next person, that is, the original positions on the first k+1 people, and from the number reported at 1, then the number reported to the k to stand up. So repeat this until all the others can stand up. Try to design a program derived from the column sequence.)

This matlab code is to make understand the concept of space time block codes in mimo wireless communication system

成功实现计算RprwHX算法的程序，本人测试已经通过，性能已基本达到RprwHX算法的性能，需要MATLAB 2009b环境运行，如有问题，欢迎讨论 (The successful implementation of the program to calculate RprwHX algorithm, I have passed the test, need MATLAB2009b operating environment, any questions, please contact me )

MPC 仿真，轨迹跟踪，实现轨迹跟踪功能(MPC-mobile-robot-Path-following-master)

unscented kalman filter