SFSDP111.tar

本程序是离散小波变化的一级小波分解，图像效果图为本人亲自所作！(DWT)

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.)

MATLAB的数字图像处理基础的多个资料(MATLAB image processing based on the information)

说明：  这是个基于matlab环境下，提取mfcc参数的小程序，希望能对大家有帮助。(This is a matlab-based environment, the applet parameter extraction mfcc, hoping to be helpful.)

说明：  一个用matlab写的对图象处理方面的函数，希望对新手有帮助(Write a matlab with image processing functions, and they hope to help novice)

DSP using Matlab. Ingle & Proakis.

contrast enhancement using sigma membership function and fuzzy method

全称是：MIL learners and their ensemble versions一个很好的lazy learnng matlab 程序(MIL learners and their ensemble versions)

采用M2M4信噪比估计算法对QPSK调制解调器的接收端信噪比进行了估计(M2M4 SNR estimation algorithm on the the QPSK modem receiving end signal-to-noise ratio estimated)

快速FFT的算法,在做数字信号处理时，需要做频谱分析时需要用到的快速傅里叶变换的算法。(Fast FFT algorithm)