资源列表
LTEBizRevolutionArticle29MayFinal
- 该文献介绍了有关3G向LTE的演进策略以及相关的一些规划。-The literature describes the evolution of 3G to LTE strategy and planning related to some.
ocx
- univoice revolution-soft about
Default.aspx
- Some sample code i wrote one day to test a theory
LTU-EX-02289-SE
- Power consumption of Reed-Solomon decoder algorithms.
wine4
- 漫谈Wine 之四: 内核差异核内补 毛德操-about wine 4
smtong030212
- data mining decision tr-data mining decision tree
The_Status_Quo_of_Machine_Learning_of_Artificial_I
- 机器学习是人工智能的一个子领域，是人工智能中非常活跃且范围甚广的主要核心研究领域之一，也是现代智能系统的关键环节和瓶颈。机器学习吸取了人工智能、概率统计、计算复杂性理论、控制论、信息论、哲学、生理学、神经生物学等学科的成果，主要关注于开发一些让计算机可以自动学习的技术，并通过经验提高系统自身的性能。本文介绍了机器学习的概念、基本结构和发展，以及各种机器学习方法，包括机械学习、归纳学习、类比学习、解释学习、基于神经网络的学习以及知识发现等，并简单叙述了机器学习的相关算法，包括决策树算法、随机森林算
QuantizationEffect
- this document investigates on the quantization effect of implementing the adaptive algorithms for echo cancellers in fixedpoint DSP. Results show that the theoretical error is manifested at the ERLE of the canceller.-this document investigates on the
PNLMS-BasedAlgo
- This work shows a PNLMS-based algorithm that incorporates other techniques for PNLMS to be less complex. MMax, SAG and Power-of-Two Quantization are considered in this hybrid of algorithms.
MUSICMVDRESPRITcompare
- This document compares the different parametric signal estimation algorithms - the MUSIC, MVDR and the ESPRIT. -This document compares the different parametric signal estimation algorithms- the MUSIC, MVDR and the ESPRIT.
SartGrid
- 本文介绍了当前智能电网的发展情况，为智能电网的研究提供了一定的参考-This article describes the current development of the smart grid, smart grid for the study has provided some reference
SmartMeter
- 本文介绍了适用于智能电网发展需要的智能电表的基本情况。-This paper introduces the application of smart grid development in the basic situation of the smart meter.