this a paper about GIS implicated in VRP problem
標(biāo)簽： implicated problem paper about
上傳時(shí)間： 2013-12-25
上傳用戶：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.
標(biāo)簽： frequency-offset estimation quadrature amplitude
上傳時(shí)間： 2014-01-22
上傳用戶：牛布牛
15693 hf reader 偉根26接口
上傳時(shí)間： 2015-12-31
上傳用戶：cursor
《Thinking in Patterns 》 -- Problem-Solving Techniques using Java Bruce Eckel ，President, MindView, Inc. Revision 0.9 翻譯：劉曉偉 本書由作者在過去幾年里開辦的一個(gè)講座課程發(fā)展而來的。本書不是一本介紹性的書籍。我假定你在閱讀本書之前通讀過《Thinking in Java》或者與之相當(dāng)?shù)钠渌滩摹?此外，我還假定你對Java 的語法有一定程度的了解。如果你對“對象”只有一些初步的認(rèn)識，在理解本書就容易得多。
標(biāo)簽： Problem-Solving Techniques Thinking Patterns
上傳時(shí)間： 2013-12-27
上傳用戶：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.
標(biāo)簽： relational filtering consider problem
上傳時(shí)間： 2016-01-02
上傳用戶：海陸空653
Barcode reader of all barcode reader mechine
標(biāo)簽： reader Barcode barcode mechine
上傳時(shí)間： 2016-01-03
上傳用戶：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)
標(biāo)簽： the Demonstrate differences following
上傳時(shí)間： 2016-01-07
上傳用戶：yiwen213
it just to check a math problem
標(biāo)簽： problem check just math
上傳時(shí)間： 2016-01-16
上傳用戶：dragonhaixm
an example of programming philips pegoda reader
標(biāo)簽： programming example philips pegoda
上傳時(shí)間： 2016-01-16
上傳用戶：stewart·
二維樹狀數(shù)組 解北大2155 http://acm.pku.edu.cn/JudgeOnline/problem?id=21
標(biāo)簽： JudgeOnline problem 2155 http
上傳時(shí)間： 2016-01-17
上傳用戶：米卡
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