photovoltaic-inverter-model--in-dual-closed-loop-

一种牛头刨床的运动仿真以及运动学分析（机械原理课程设计）(A motion simulation and kinematics analysis Shaper (Mechanical Principles of curriculum design))

说明：  相关向量机（Relevance Vector Machine，简称RVM）是Micnacl E.Tipping于2000年提出的一种与SVM（Support Vector Machine）类似的稀疏概率模型，是一种新的监督学习方法。 它的训练是在贝叶斯框架下进行的，在先验参数的结构下基于主动相关决策理论（automatic relevance determination，简称ARD）来移除不相关的点，从而获得稀疏化的模型。在样本数据的迭代学习过程中，大部分参数的后验分布趋于零，与预测值无关，那些非零参数对应的点被称作相关向量（Relevance Vectors），体现了数据中最核心的特征。同支持向量机相比，相关向量机最大的优点就是极大地减少了核函数的计算量，并且也克服了所选核函数必须满足Mercer条件的缺点。(Relevance Vector Machine (RVM) is a sparse probability model similar to SVM (Support Vector Machine) proposed by Micnacl E. Tipping in 2000. It is a new supervised learning method. Its training is carried out under the Bayesian framework. Under the structure of prior parameters, it is based on Automatic Relevance Determination (ARD) to remove the irrelevant points, so as to obtain the sparse model. In the iterative learning process of sample data, the posterior distribution of most parameters tends to zero, which is independent of the predicted value. The points corresponding to non-zero parameters are called Relevance Vectors, which represent the most core features of the data. Compared with support vector machine, the biggest advantage of correlation vector machine is that it greatly reduces the computation amount of kernel function, and also overcomes the shortcoming that the selected kernel function must meet Mercer's condition.)

An alternative to Matlab s HIST, function HISTW prevents extreme values in top and bottom percentiles of an input vector affecting the histogram s scaling, obscuring location and shape of the distribution s main mass. Limits of x and y (maximum only) axes can be set, and a marker line drawn at given x position. In contrast to HIST, bin size can be explicitly specified, and relative, rather than absolute, frequencies are plotted.

基于Matlab的一MMSE的噪声PSD的执行跟踪的语音增强算法。这个包是一所描述的算法实现在“基于MMSE的低噪声PSD的跟踪与复杂性”，由理查德亨德里克斯，理查德Heusdens和Jesper詹森，IEEE国际会议声学，语音和信号处理，03/2010，达拉斯，德克萨斯州，p.4266 - 4269，（2010年）。 该算法具有较低的复杂性，但能够准确地估计非平稳的延迟相当低噪声PSD的跟踪噪声。(Matlab implementation of an MMSE based noise PSD tracking algorithm for speech enhancement. This package is an implementation of the algorithm described in "MMSE BASED NOISE PSD TRACKING WITH LOW COMPLEXITY", by Richard C. Hendriks, Richard Heusdens and Jesper Jensen, IEEE International Conference on Acoustics, Speech and Signal Processing, 03/2010, Dallas, TX, p.4266-4269, (2010). The algorithm has rather low complexity, but is able to accurately estimate the noise PSD for non-stationary noise with rather low tracking delay. )

离散小波变换域非负张量分解的高光谱遥感图像压缩(Discrete wavelet transform domain of non-negative tensor decomposition of hyperspectral remote sensing image compression)

利用matlab语言，采用动态规划算法解决机器设备的调度问题，运行速度快，运行结果完美。(analyzes the allocation of resources in dynamic programming with Matlab , and conducts procedure designs and computation with Matlab , simplifying complex issues and avoiding the cumbersome calculations to make more convenient solutions to problems .)

直接转矩控制matlab7.4，simulink仿真系统，改进后的dtc(Direct Torque Control matlab7.4, simulink simulation systems, improved dtc)

TSP matlab遗传算法求解，关于商旅问题(TSP matlab genetic algorithm)

卡尔曼滤波器运用于目标跟踪，据此编写的对于非机动模型的仿真(Kalman filter used in target tracking, has been prepared accordingly for non-motorized model simulation)

用matalab实现的最短距离算法的系统聚类分析对样本进行分类(With matalab achieve the shortest distance between cluster analysis algorithm to classify the samples)