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Improving
- Each arc of a binary-state network has good/bad states. The system reliability, the probability that source s communicates with sink t, can be computed in terms of minimal paths (MPs). An MP is an ordered sequence of arcs from s to t that has no
On the Energy Detection of Unknown Signals Over Fading Channels
- On the Energy Detection of Unknown Signals Over Fading ChannelsAbstract—This letter addresses the problem of energy detection of an unknown signal over a multipath channel. It starts with the no-diversity case, and presents some alternative closed-fo
resonance
- 此文档是有关磁共振方面的实验文章，我们做电子的人员硬件并不是很扎实，假如大家在做项目之前能做这样的实验，我想项目成功的概率将会大增-This document is related to magnetic resonance aspects of experimental articles, we have the personnel to do electronic hardware is not very solid, if to do projects in the U.S. can do
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
review-matimp
- Review Material (Brief tutorials on probability, linear algebra, and linear systems for readers of Digital Image Processing (all editions)
paper01
- A FFT-based partial matched filter (PMF) acquisition threshold setting method for fast GPS acquisition is presented. Normal distribution and numerical fitting technique instead of real decision variable (DV) distribution are used in derivatio
phdvsmht
- Probability Hypothesis Density filter versus Multiple Hypothesis Tracking
ch01sol
- Probability,Random Variables,and Random Signal Principles, 4/E (Peebles, P.Z. McGraw-Hill) ch01 solution
ch02sol
- probability random variables and random signal princples, 4/E (Peebles, P.Z. McGraw-Hill) ch 2 solution
ch03sol
- probability random variables and random signal princples, 4/E (Peebles, P.Z. McGraw-Hill) ch 3 solution
ch04sol
- probability random variables and random signal princples, 4/E (Peebles, P.Z. McGraw-Hill) ch 4 solution
ch05sol
- probability random variables and random signal princples, 4/E (Peebles, P.Z. McGraw-Hill) ch 5 solution
ch06sol
- probability random variables and random signal princples, 4/E (Peebles, P.Z. McGraw-Hill) ch 6 solution
SECURE_LEACH_ROUTING_PROTOCOL_BASED_ON_LOW-POWER_
- ABSTRACT In this paper we put forward a kind of secure LEACH routing protocol (SC-LEACH) based on low-power clusterhead selection algorithm. This protocol gets the total number of all nodes by their collaboration in selecting, to precisely calculat
SOCR_CD
- This book was written to provide modern pedagogical perspective into technology- enhanced blended learning and instruction. It reflects the direction of amalgamation of knowledge from multiple disciplines with recent open networking and technolo
Testing-Using-permutation-test
- 。该法根据所研 究的问题构造检验统计量，并利用手头样本，按排列组合的原理导出检验统计量的理论抽样分布； 若难以导出确切的理论分布，则采用抽样模拟的方法估计其近似分布，然后求出从该分布中获得 手头样本及更极端样本的概率(P值)，并界定此概率值，作出推论。-It is sample．based distribution-free method，which makes use of“permutation or combination”to get the theo． retical
Probability-a-stochastic-process
- Probability theory deals with the study of random phenomena, which under repeated experiments yield different outcomes that have certain underlying patterns about them. The notion of an experiment assumes a set of repeatable conditions that allow any
Probability--Random-Variables-and-Random-Processe
- In the study of probability, any process of observation is referred to as an experiment. The results of an observation are called the outcomes of the experiment. An experiment is called a random experiment if its outcome cannot be predicted. Typi
A-Binary-Tree-for-Probability-Learning-in-Eye-Det
- A Binary Tree for Probability Learning in Eye Detection
Highest-probability-data-association
- 提出了一种新的概率数据互联和粒子滤波相结合的新算法，并应用于杂波环境下的无源声纳系统中，该算法也可以很容易的应用于多目标情形。-There proposed a new method of data association called highest probability data association (HPDA) combined with particle filtering and applied to passive sonar tracking in clutter.The