ReWorksReDe

本文通过对LISP语言发展的研究，总结出计算机方面的设计理念。并不是完美的才是最好的，有时候愚蠢的简单的更好。(Based on the LISP language development research, summed up the computer aspects of the design philosophy. Not perfect is the best, and sometimes stupid simple better.)

说明：  一个开店必备文档，里面有全国的商品批发资料，很全的。(Must document a shop, which has the country' s wholesale information is complete.)

提出了一种认知无线网络的异构网络融合的研究方案。该方案采用了具有可重构能力的基站设备和多频段多模式终端设备 , 采用复用的方式来达到多频段变换的目的 , 并最终提高无线资源利用效率。以中间件的方式来实现各种通信模式的融合和切换 , 并设计了基站分布式天线 , 来满足更大的负载或更 高的业务质量需求。建立了一个基于软件无线电的终端系统 , 该终端的优点在于其可以工作在多个频段之上 , 并且可以自适应的工作在多种不同模式的网络中。(cognitive wireless networks in)

CAJ格式的，遗传算法的路径规划问题，需要的可以看一下(CAJ format, genetic algorithm path planning problem, the need to look at the can)

关于研究电力规划需求的文章，对做电力电网规划项目的人十分有用，比如电网概况，电网规划和重要电网指标分析等。(The Document is about Inner Mongolia Power Grid,which is usefull for the Needs analysis pepole,for example basic Grid,grid planning and Important index... )

水下信道的纠错码研究及软件实现，对研究纠错码的工程师有帮助(Underwater channel error-correcting codes and software implementation, error-correcting codes of research will help engineers)

。归纳和讨论了智能微电网的控制理论，将控制策略划分为电网跟随控制和电 网形成控制两大类，每一类同时又包含了交互式及非交互式控制思想，给出了清晰的定义和判断标准， 并提出智能微电网控制策略未来的发展方向。(Analysis was made to its system configuration and operation characteristics, the control theory of intelligent microgrid summarized and discussed to divide the control strategy into grid-following and grid-forming control two categories, each of which included interactive and non interactive control thinking with clear definition and determinant standard. This paper raised the microgrid control strategy in the future.)

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)

CD131X系列高频头pdf资料，cd1316是飞利浦一款市场占有率非常高的产品，在国内普遍使用。(CD131X seris RF module material，cd1316L is an famous solution.)

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.