P91_ODE_TaylorSeriesMethod

类似于matlab的数组编辑类（原创）及借用BasicExcel类快速读取读入Excel数据(some class for editing array like in matlab,and read and write to excel with BasicExcel class.)

generate LFM pulse waveform

这是一个模糊聚类代码（matlab）供大家学习(This is a fuzzy clustering code (Matlab) for all study)

说明：  小波消噪，采用“db4”母小波函数进行三层分解(Wavelet de-noising, using &quot db4&quot mother wavelet function triple decomposition)

说明：  高斯过程(GP)模型中推理和预测的实现。它实现了在《Rasmussen & Williams:机器学习的高斯过程》(麻省理工学院出版社，2006)和《Nickisch & Rasmussen:二进制高斯过程分类的近似》(JMLR, 2008)中讨论的算法。该函数的优点在于灵活性、简单性和可扩展性。该函数具有一定的灵活性，首先通过定义均值函数和协方差函数来确定遗传算法的性质。其次，它允许指定不同的推理过程，如精确推理和期望传播(EP)。第三，它允许指定似然函数，如高斯函数或拉普拉斯函数(用于回归)和累积逻辑函数(用于分类)。简单性是通过一个简单的函数和紧凑的代码实现的。可扩展性是通过模块化设计来保证的，允许为已经相当广泛的推理方法、均值函数、协方差函数和似然函数库轻松添加扩展。(Gaussian Processes for Machine Learning , the MIT press, 2006 and Nickisch & Rasmussen: Approximations for Binary Gaussian Process Classification , JMLR, 2008. The strength of the function lies in its flexibility, simplicity and extensibility. The function is flexible as firstly it allows specification of the properties of the GP through definition of mean function and covariance functions. Secondly, it allows specification of different inference procedures, such as e.g. exact inference and Expectation Propagation (EP). Thirdly it allows specification of likelihood functions e.g. Gaussian or Laplace (for regression) and e.g. cumulative Logistic (for classification). Simplicity is achieved through a single function and compact code.)

说明：  lms算法的一个基本的应用 关于噪声消除(A basic application of LMS algorithm on noise elimination)

09年大学生数学建模比赛D组题，该作品获得专科组国家二等奖(2009 Mathematical Modeling Group D title game, the work received the second prize specialist group of countries)

本代码实现了小波神经网络的MATLAB代码实现，为有此开发需求的人提供源码(This code implements the MATLAB code for wavelet neural network implementation of this development needs to have to provide source)

moduation and demodulation process using GUI

conitnue for last m file