this a paper about GIS implicated in VRP problem
標(biāo)簽： implicated problem paper about
上傳時間： 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
上傳時間： 2014-01-22
上傳用戶：牛布牛
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
上傳時間： 2016-01-02
上傳用戶：海陸空653
matlab codes for solving ODEs, including euler method, RK methods etc, and some examples.
標(biāo)簽： including examples solving methods
上傳時間： 2014-01-04
上傳用戶：xinzhch
％ 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
上傳時間： 2016-01-16
上傳用戶：dragonhaixm
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
上傳時間： 2016-01-17
上傳用戶：米卡
The problem of image registration subsumes a number of problems and techniques in multiframe image analysis, including the computation of optic flow (general pixel-based motion), stereo correspondence, structure from motion, and feature tracking. We present a new registration algorithm based on spline representations of the displacement field which can be specialized to solve all of the above mentioned problems. In particular, we show how to compute local flow, global (parametric) flow, rigid flow resulting from camera egomotion, and multiframe versions of the above problems. Using a spline-based description of the flow removes the need for overlapping correlation windows, and produces an explicit measure of the correlation between adjacent flow estimates. We demonstrate our algorithm on multiframe image registration and the recovery of 3D projective scene geometry. We also provide results on a number of standard motion sequences.
標(biāo)簽： image registration multiframe techniques
上傳時間： 2016-01-20
上傳用戶：520
source codes to solve Hexpuzzle problem
標(biāo)簽： Hexpuzzle problem source codes
上傳時間： 2016-01-29
上傳用戶：cmc_68289287
Solving Engineering Problems Using MATLAB C++ Math Library Introduction In the previous article, we studied how can use MATLAB C API to solve engineering problems. In this article I will show you how can use MATLAB C++ math library. The MATLAB® C++ Math Library serves two separate constituencies: MATLAB programmers seeking more speed or complete independence from interpreted MATLAB, and C++ programmers who need a fast, easy-to-use matrix math library. To each, it offers distinct advantages.
標(biāo)簽： Introduction Engineering Problems previous
上傳時間： 2014-12-02
上傳用戶：13160677563
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