load-class

Forecasting by Causal Methods

DataDemon-时频分析解决方案 随着科技迅速发展，讯号分析处理者面临的是日趋庞大的计算数据量，和越来越复杂的仿真模式。如何缩短开发时间、节省研究经费、又能实现高效能、高弹性的运算平台供后续研究使用便越来越重要。 DynaDx提出DataDemon-时频分析解决方案，以组件组合的设计概念，免除繁杂程序写作方式，提供讯号处理的可视化控制组件，让处理讯号分析的过程就像拼组模型一般，使用者可依据自己的构想去组合出更多元之讯号分析呈现。不再需要从头撰写繁杂的程序代码便能使用各种讯号处理的算法，也不必将时间花在除错、评估程序运行效能，而能专注于研究目标的分析及后续应用的开发上。 (DataDemon-time-frequency analysis solutions With the rapid development of science and technology, signal analysis and processing is increasingly faced by the huge amount of data calculation, and increasingly complex simulation models. How to reduce development time, save research funding, but also to achieve high performance, flexible computing platform for subsequent research use have become increasingly important. DynaDx DataDemon-time frequency analysis proposed solutions to the design concept of component combinations, eliminating the complicated procedures written in a way to provide a visual signal processing control unit, so that the signal processing analysis process as spelled group of models in general, users can be based on their own idea to mix the signal out more element analysis presented. No longer need to write complicated code from scratch, will be able to use a variety of signal processing algorithms, nor do you have time to spend debugging, performance evaluation pro)

介绍基于LMDS的无人机空中中继链路设计，对研究无人机通信有帮助(UAV data link)

小木虫最新科研精华贴，对硕博生有很多的作用，很不错的资料哦(Wooden stick insect essence of the latest research on the role of Shuobo students have a lot of very good information Oh)

求解变分不等式的两种外梯度算法对比。包括一种修正的外梯度法及其优化方法。(Solving Variational Inequality gradient algorithm for comparison of two things. Including an amendment to the outer gradient method and its optimization.)

这是另外一种方式的对于SM系统的性能分析，与传统的方式相比这种方式更加的简单，明了，利于阅读。(other way to analaysis the performance of SM。 it is queit simply than the tanditional ways)

Literature Review on Linguistic Fuzzy Neural Models. It can be very useful for Fuzzy Nural network based application.

This document describes how to change Mozilla FireFox browser so that it does not maintain a history of the URL s [web sites] that you visit.

说明：   导航地图数据模型研究现状与趋势(Navigation Map Data Model Status and Trends)

This paper presents a clustering approach which estimates the specific subspace and the intrinsic dimension of each class. Our approach adapts the Gaussian mixture model framework to high-dimensional data and estimates the parameters which best fit the data. We obtain a robust clustering method called High- Dimensional Data Clustering (HDDC). We apply HDDC to locate objects in natural images in a probabilistic framework. Experiments on a recently proposed database demonstrate the effectiveness of our clustering method for category localization.