pv_module

这五个源代码介绍了如何创建matlab GUI以及各种控件的放置调用(The five source code shows how to create a matlab GUI and the placement of the various controls calls )

代码实现了二阶AR模型的最优权值递推，使用了LMS和RLS两种方法，对二者性能进行了比较，分别进行了单次和100次平均进行性能观察，并且仿真了不同步长因子对LMS算法的影响以及不同lamda值对RLS算法的影响。文档包含了模型的详细介绍以及2种方法的理论仿真和结果分析。代码以附在之后。(Code to achieve the optimum weights recursive second order AR model, the use of LMS and RLS are two methods were compared for the two properties, were observed and 100 times the average per-performance and simulated sync Effect of a growth factor RLS algorithm impact on LMS algorithm and different lamda value. Document contains the results of theoretical simulation and detailed description of the model and two methods of analysis. Code annexed.)

说明：  《精通MTLAB最优化计算》第11章 整数规划 源码(&quot The most proficient MTLAB Optimization&quot Chapter 11 integer programming source code)

BFT,正交傅里叶变换，用于检测线性调频斜率的方法。仿真与论文结果一致。(BFT, orthogonal Fourier transform for detecting the slope of the linear frequency modulation method. Simulation results are consistent with the thesis.)

采用matlab，实现了gabor滤波的核心功能(gabor filter is very famous and really useful for texture feature extraction and image retrivel. attached code is wrriten well using matlab. More detail can be referenced in the paper <texture features for browsing and retrieval of image data>)

MATLAB串口接受并用GUI显示数据曲线(MATLAB receive the date by using COM and plot in GUI.)

以齿轮系统动力学和非线性动力学理论为基础,针对齿轮系统时变啮合刚度和齿侧间隙耦合作用的具体特点,建立了齿轮系统非线性模型,并用数值积分和数值仿真方法对其在某些参数域中进行了非线性振动研究(Based on the dynamics of a gear system and the theory of nonlinear dynamics, co nsidering characteristics of coupling action of the time-varying mesh stiffness and the gear backlash, a model of the nonlinear gear system is developed. The nonlinear vibration is studied by using numerical integration method and numerical simulation in some parameter fields.)

说明：  BP神经网络预测,用于预测将来可能出现的情况，并给出警示。(PREDICTION OF BP ANN)

该文件被用于人工数据集的测试。这些数据都是随机生成的。在百度中也可以搜索到相关内容。数据集名字为ultwotwo(this file can used for Performance Comparison on Artificial Data)

Calculating objective speech intelligibilty