wiener_filter

三维地质雷达正演模拟,可以对二进制数据读取，利于学习(3D GPR simulation)

data converters by maloberti

matlab 线性算法的研究，适合初学者学习(matlab linear algorithm, suitable for beginners to learn)

本文档详细介绍了COM中的Marshel机制，深入分析了跨套间通信过程中涉及到的多个问题(This document details the COM in the Marshel mechanism, in-depth analysis of the cross-suite communication process involved in a number of issues)

spectral analysiso speech signal

基于matlab实现C-均值分类,模式识别简单聚类分析(experiment of C-mean to explain the course)

Greening femtocells in india

基于matlab的声音特征提取，可用于语音识别和声纹识别(Matlab-based audio feature extraction, can be used for speech recognition voiceprint recognition)

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 实现RLS算法，已在MATLAB中运行过(MATLAB realization of RLS algorithm, has been running in the MATLAB)