QPSK.simulation

说明：  本人编写的模式识别中的bayes判别分析算法，识别效果不错(I write the pattern recognition algorithm bayes discriminant analysis to identify good results )

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.)

说明：  利用GPML-V4.1工具箱实现高斯过程回归(GPR)的多变量数据预测(Using gpml-v4.1 toolbox to realize multivariate data prediction of Gaussian process regression (GPR))

求加随机白噪声的实正弦信号的MUSIC算法的功率谱参数估计(Plus a random white noise for the real sinusoidal signal of the power spectrum of MUSIC algorithm for parameter estimation)

对二级倒立摆进行仿真，并且还添加了状态观测器后再继续观察(On the two level inverted pendulum simulation, and also added a state observer and then continue to observe)

心电图的处理,利用到MATLAB中的GUI，这是其中保存的.m文件还，有.fig,运行时就可以自动生成了(the processing of ECG)

This is SOM clustering source code

本例程为改进的LMS算法NLMS算法的MATLAB实现和其收敛性的验证程序(This routine is improved LMS algorithm NLMS algorithm in MATLAB and its convergence verification procedures)

这是关于matlab的一些举例，这些原程序对刚开始学习matlab人很有帮助(This is about some of the matlab example, the original program for people just learning matlab helpful)

利用matlab完成了对语音信号的重建，并针对重建信号进行了包括变速，变调等多种处理，适合初学语音信号的人参考。(Using matlab complete reconstruction of the speech signal, and for the reconstruction of signals, including a variety of processing speed, pitch, etc., suitable for beginners who voice signal reference.)