▍1. the-prediction-of-chaotic-time
关于混沌时间序列预测的一些论文资料,有pdf和caj格式。(Some papers about the prediction of chaotic time series.)
关于混沌时间序列预测的一些论文资料,有pdf和caj格式。(Some papers about the prediction of chaotic time series.)
复杂网络领域大神Dorogovstev著作,evolution networks: biological net to INTERNET and WWW(evolution networks: biological net to WWW)
Matlab简明实例教程,数值计算、矩阵计算、函数编程等基础内容(how to start with matlab2010 in numerical calculation, matrix calculation, functional programming and so on.)
Matlab2010超强教程,入门Matlab必须懂得的三个方面的基础知识(Basic knowledge of Matlab2010)
CRD编程系列软件;它以功能强大、操作简单、实用性强、自动化程度高等特点(CRD series programming software it is powerful, simple, practical, high degree of automation)
The evolution to 4G cellular systems: LTE-Advanced Ian F. Akyildiz ∗ , David M. Gutierrez-Estevez, Elias Chavarria Reyes
Trends in Small Cell Enhancements in LTE Advanced
:压缩感知是近年来应用数学界提出的一套关于稀疏信号采集和重构的新理论,它突破了传统奈奎斯特采样定理 的限制,以远少于传统奈奎斯特采样定理所需的测量数据就能够精确恢复原信号或估计信号的相关参数。将压缩感知理论应 用到DOA估计,可以解决传统DOA估计中高采样率、以及较多辐射源信号条件下难以定位的限制。研究了基于压缩感知理 论的DOA估计方法,并利用MATLAB进行仿真,通过与传统MUSIC算法比较可知,基于压缩感知的DOA估计方法具有显著 的优势(The theory of Compressive Sensing(CS)is the application of mathematics in the field of a sparse signal acquisition and reconstruction of the new theory. It breaks through the traditional limitation of Nyquist sampling theorem. It can recover certain signals or estimate their parameters far fewer samples or measurements than traditional methods. The application of compressed sensing theory to DOA estimation can solve the traditional DOA estimation in high sampling rate, as well as more of the radiation source signal conditions is difficult to position limits. This paper studies the theory of DOA estimation method based on compressed sensing theory, and simulation uses MATLAB, compared with the traditional MUSIC algorithms, DOA estimation based on compressed sensing theory method has the obvious advantage)
一篇在60GHz毫米波信道环境下人体影响的建模文章(A paper on modeling the impact of human body effect on 60GHz millimeter wave channel)
Adaptive Volume Rendering using Fuzzy Logic Control
Using TF-IDF to Determine Word Relevance in Document Queries : In this paper, we examine the results of applying Term Frequency Inverse Document Frequency (TF-IDF) to determine what words in a corpus of documents might be more favorable to use in a query. As the term implies, TF-IDF calculates values for each word in a document through an inverse proportion of the frequency of the word in a particular document to the percentage of documents the word appears in. Words with high TF-IDF numbers imply a strong relationship with the document they appear in, suggesting that if that word were to appear in a query, the document could be of interest to the user. We provide evidence that this simple algorithm efficiently categorizes relevant words that can enhance query retri
此文档是我做APF时参考过的无数文章中最有价值的文档之一,写的很深刻,也很结合实际。(This document is one document that I do APF reference to numerous articles in the most valuable, written in a very profound and very actual.)
在能源行业做有源电力滤波时主管推荐的参考文章,很有价值,值得分享。(Executives in the energy industry to do active power filter when recommended reference articles, valuable, worth sharing.)
LTE论文(Channel Estimation, Carrier Recovery, and Data Detection in the Presence of Phase Noise in OFDM Relay Systems)(Channel Estimation, Carrier Recovery, and Data Detection in the Presence of Phase Noise in OFDM Relay Systems)
LTE 论文 Capacity Optimized For Multicarrier OFDM-MIMO Antenna Systems(Capacity Optimized For Multicarrier OFDM-MIMO Antenna Systems)