042758c2a36843

fingerprint recognition

GUI CODIGO DE LINEA INTRODUCIENDO UN CARACTER

说明：  用来提取特定的SSVEP脑电信号，用于分析各电极的分类准确率(Used to extract specific SSVEP EEG signals for analyzing the classification accuracy of each electrode)

本文件包含大量的matlab命令，并附有简单的举例，方便查阅和学习…………(This document contains a lot of matlab command, together with a simple example, for easy access and learning ... ... ... ...)

Jadi, analisis Kurva Tegangan dan studi tentang motor sinkron menggunakan MATLAB m-file adalah pilihan yang baik di lingkungan industri.

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：  matlab程序解非线性方程KVD方程，非常方便(matlab)

it music on e dimentional doa estimation

MATLAB逐步搜索法计算方程的根. 逐步搜索法也称试算法.它是求方程f(x)=0的根的近似值位置的一种常用的方法. 逐 步搜索法依赖于寻找连续函数)f(x)满足f(a)与f(b)异号的区间[a,b]一旦找到区间，无 论区间多大，通过某种方法总会找到一个根。(MATLAB root search method gradually equation )

DOA estimaiton with root-MUSIC algorithm