guihuawenti

利用matlab进行时频分析的程序，傅里叶变换、短时傅里叶变换、小波分析等等，功能十分齐全。(Using matlab to process time-frequency analysis, Fourier transform, short time Fourier transform, wavelet analysis, etc., function is complete.)

一个简单的用matlab实现的成绩查询系统。(Matlab with a simple query system to achieve results.)

无线信道中下行链路,用MATLAB进行仿真(Downlink wireless channel, using MATLAB simulation)

AR模型参数估计：已知某系统的输出信号，试估计输入白噪声的功率及AR模型的参数(estimation of parameter for AR model)

easy code wanted for my project

专家pid控制的阶跃响应，能够很好的跟踪输入信号。具有良好的性能指标。(step response of Expert pid control , and can be very good to track the input signal.With good performance。)

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.)

This Source Code for Image Segmentation and applying the threshold at image

matlab gui 设计的基本实现，基于matlab simulink 的设计(matlab)

说明：  在matlab中的图形图像处理函数详细列表，对于用matlab处理图像的朋友有用(The graphics in matlab a detailed list of image processing functions for image processing using matlab helpful friend)