project

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.)

人体脉搏信号的有关数据及有关qrs群波探测的相关代码(The pulse signal of human body of relevant data and related group QRS wave detection related code)

It is Radar System design and signal prcessing code based on standard algorithm .this is vey important for biggener those who are working on Radar signal processing area.This code contain various chapter. this is basically chapter No8

一个将32路64kbps信息流合成一个基群的复用模块和相应的解复用模块，要能观察合成或分解后信息流的一致性，演示的最小时间刻度为时隙（一次采样，即1/8000秒）。(64kbps would be a 32-way flow of information into one group based reuse modules and the corresponding de-multiplexing module, to be able to observe the post-synthesis or decomposition of the consistency of the flow of information to demonstrate the minimum time scale for the time slot (one sample, that is, a/8000 seconds).)

用matlab实现雨流计数方法的程序。包括每一步处理的作图(Rainflow counting method using matlab program)

说明：  电机仿真，MTPA控制策略，永磁同步电机(Motor simulation, MTPA control strategy, permanent magnet synchronous motor)

研究生的论文，关于MIMO-OFDM系统中信道容量分析(Graduate thesis, analysis of MIMO-OFDM channel capacity)

abaqus+UEL 裂缝混合模态扩展模拟(abaqus+ UEL cracks extended mixed mode)

二阶系统一次性完成最小二乘辨识程序，系统辨识中用(Completed a one-time second-order system least squares identification procedure, system identification using)

说明：  针对给定信号采用不同的经典功率谱估计方法进行信号的谱估计，性能不错！(For a given signal using different classical power spectrum estimation methods for signal spectrum estimation, performance, good!)