matlab

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.)

对图象进行整数倍放大 内含一个文本文档，输入MATLAB后可直接运行(Multiples of the image to enlarge a text document containing the input can be directly run MATLAB)

音频信号频谱分析:应用普通录用软件录制声音，对其进行时域和频域分析(audio signal frequency analyse)

本程序涉及到了OFDM的matlab实现 在其中涉及到了峰均比的优化问题 使用多次限幅滤波(This program involves the OFDM matlab in which involves peak than optimization problem Using multiple limiting filtering)

高速铁路路基沉降是一个复杂的系统过程,涉及不同时期、不同工况,选用单一的预测模型不足以反映路基整体的变形规律.Logistic模型及Verhulst模型的曲线均为S形,可以反映全过程的地基沉降与时间的关系.针对路基填筑期和降水期两个时段利用MATLAB软件编制程序计算模型参数,得到Logistic模型和灰色Verhulst模型,进而求得两者的最优加权组合模型.对比结果表明:在路基填筑期由两者的最优加权组合模型预测得到的结果与实测结果较吻合,拟合精度高于单一模型 而在降水期Verhulst模型的预测值更接近实测值,平均相对误差约为1.75％,拟合精度较高.(High-speed railway subgrade settlement process is a complex system involving different times and in different conditions, the choice of a single forecasting model does not adequately reflect the overall deformation of roadbed. Curve Logistic model and Verhulst models are S-shaped, the whole process can be reflected foundation settlement versus time. against roadbed construction period of two hours and precipitation using MATLAB software programming model parameters, the Logistic model and gray Verhulst model, and then get the optimal model of a weighted combination of the two. comparative results indicate : results and experimental results in the roadbed construction period by the weighted combination of the best of both models predicted than the anastomosis fitting accuracy than a single model precipitation predicted value of Verhulst model closer to the actual value of the average relative error approximately 1.75 fitting accuracy.)

基于BUCK降压斩波的无刷直流电机仿真控制模型(buck bldc contrl)

利用长除法，产生平衡GOLD序列码，扩频方面的内容(Using long division, resulting in a balance GOLD serial number, spread spectrum aspects)

用matlab仿真随机信号白噪声，频谱分析，很好用(Matlab simulation of random signal with white noise)

说明：  是《信号与系统》第一章信号运算的实验内容，有详细的代码和实验原理(Is the &quot Signals and Systems&quot Chapter signal computing experiment content, code and test a detailed theory)

运用P-Q分解法来进行潮流计算，数据调用需要用到excel(PQ decomposition method using flow calculation, data upload need to use excel)