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

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)

SMPTE Standard AFD Description

半二次优化算法，研究。软阈值公式推导。最早的一篇论文。非常有参考价值。(Half-quadratic optimization algorithms, research. Soft threshold formula derivation. The earliest paper. Very valuable reference.)

This is a book which deals with all the concepts of internet.

说明：  Справка по дельфи на русском языке

基金投资从入门到精通 基金投资从入门到精通 基金投资从入门到精通(funds from the investment fund proficient portal to portal investment from the investment of funds from proficient to proficient portal Fund investment income from proficient doors to investment funds from entry level to proficiency)

说明：  一篇介绍adhoc网络中DSR,AODV，DSDV协议的比较的文章，包括源代码和性能分析，(ADHOC networks introduced a DSR, AODV, DSDV protocol comparison article, including source code and performance analysis,)

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)

说明：  虚拟仪器代表着目前测试仪器领域的发展方向，LabⅥEw语言是一种功能强大的仪器开发平台。对淹没在噪声中声发射信号的有效提取(去噪)是声发射信号处理技术的第一步，也是声发射信号处理的关键所在。本文介绍了基于小波变换的阈值去噪方法。在LabⅥEw平台上，通过仿真试验，对声发射信号的几种阈值法的去噪结果进行比较，选出一种适合声发射信号去噪的阈值准则。(Virtual instrument on behalf of the current developments in the field of testing equipment direction, Lab Ⅵ Ew language is a powerful development platform apparatus. Submerged in the noise of the acoustic emission signal in the effective extraction (denoising) is the acoustic emission signal processing technology, a first step, the acoustic emission signal processing is the key. In this paper, based on wavelet transform thresholding denoising method. Lab Ⅵ Ew in the platform through the simulation of acoustic emission signals of several denoising threshold method for comparison of results to elect a suitable acoustic emission signal de-noising threshold criteria.)