this a paper about GIS implicated in VRP problem
标签： implicated problem paper about
上传时间： 2013-12-25
上传用户：chenbhdt
We address the problem of blind carrier frequency-offset (CFO) estimation in quadrature amplitude modulation, phase-shift keying, and pulse amplitude modulation communications systems.We study the performance of a standard CFO estimate, which consists of first raising the received signal to the Mth power, where M is an integer depending on the type and size of the symbol constellation, and then applying the nonlinear least squares (NLLS) estimation approach. At low signal-to noise ratio (SNR), the NLLS method fails to provide an accurate CFO estimate because of the presence of outliers. In this letter, we derive an approximate closed-form expression for the outlier probability. This enables us to predict the mean-square error (MSE) on CFO estimation for all SNR values. For a given SNR, the new results also give insight into the minimum number of samples required in the CFO estimation procedure, in order to ensure that the MSE on estimation is not significantly affected by the outliers.
标签： frequency-offset estimation quadrature amplitude
上传时间： 2014-01-22
上传用户：牛布牛
15693 hf reader 伟根26接口
上传时间： 2015-12-31
上传用户：cursor
《Thinking in Patterns 》 -- Problem-Solving Techniques using Java Bruce Eckel ，President, MindView, Inc. Revision 0.9 翻译：刘晓伟 本书由作者在过去几年里开办的一个讲座课程发展而来的。本书不是一本介绍性的书籍。我假定你在阅读本书之前通读过《Thinking in Java》或者与之相当的其它教材。 此外，我还假定你对Java 的语法有一定程度的了解。如果你对“对象”只有一些初步的认识，在理解本书就容易得多。
标签： Problem-Solving Techniques Thinking Patterns
上传时间： 2013-12-27
上传用户：253189838
In this paper, we consider the problem of filtering in relational hidden Markov models. We present a compact representation for such models and an associated logical particle filtering algorithm. Each particle contains a logical formula that describes a set of states. The algorithm updates the formulae as new observations are received. Since a single particle tracks many states, this filter can be more accurate than a traditional particle filter in high dimensional state spaces, as we demonstrate in experiments.
标签： relational filtering consider problem
上传时间： 2016-01-02
上传用户：海陆空653
Barcode reader of all barcode reader mechine
标签： reader Barcode barcode mechine
上传时间： 2016-01-03
上传用户：我干你啊
％ PURPOSE : Demonstrate the differences between the following filters on the same problem: ％ ％ 1) Extended Kalman Filter (EKF) ％ 2) Unscented Kalman Filter (UKF) ％ 3) Particle Filter (PF) ％ 4) PF with EKF proposal (PFEKF) ％ 5) PF with UKF proposal (PFUKF)
标签： the Demonstrate differences following
上传时间： 2016-01-07
上传用户：yiwen213
it just to check a math problem
上传时间： 2016-01-16
上传用户：dragonhaixm
an example of programming philips pegoda reader
标签： programming example philips pegoda
上传时间： 2016-01-16
上传用户：stewart·
二维树状数组 解北大2155 http://acm.pku.edu.cn/JudgeOnline/problem?id=21
标签： JudgeOnline problem 2155 http
上传时间： 2016-01-17
上传用户：米卡
