Tracking a moving object through several frames, provided changes from frame to frame are on the order of +-(10 + "X Range") pixels in the X direction and +-(10 + "Y Range") in the Y direction is done automatically because of a relatively large area of exploration during the search for an optimal (new) position for a particular control point and a very strong force exerted by large values of the image gradient.
標(biāo)簽： frame Tracking provided changes
上傳時(shí)間： 2015-11-17
上傳用戶：zgu489
The subroutines glkern.f and lokern.f use an efficient and fast algorithm for automatically adaptive nonparametric regression estimation with a kernel method. Roughly speaking, the method performs a local averaging of the observations when estimating the regression function. Analogously, one can estimate derivatives of small order of the regression function.
標(biāo)簽： automatically subroutines and algorithm
上傳時(shí)間： 2015-11-25
上傳用戶：luke5347
Fractal Explorer GUI-based program for exploring and studying the most common form of fractals, chaotic systems and fractional dimension systems
標(biāo)簽： GUI-based exploring Explorer fractals
上傳時(shí)間： 2013-11-25
上傳用戶：ljmwh2000
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
In this article, we present an overview of methods for sequential simulation from posterior distributions. These methods are of particular interest in Bayesian filtering for discrete time dynamic models that are typically nonlinear and non-Gaussian. A general importance sampling framework is developed that unifies many of the methods which have been proposed over the last few decades in several different scientific disciplines. Novel extensions to the existing methods are also proposed.We showin particular how to incorporate local linearisation methods similar to those which have previously been employed in the deterministic filtering literature these lead to very effective importance distributions. Furthermore we describe a method which uses Rao-Blackwellisation in order to take advantage of the analytic structure present in some important classes of state-space models. In a final section we develop algorithms for prediction, smoothing and evaluation of the likelihood in dynamic models.
標(biāo)簽： sequential simulation posterior overview
上傳時(shí)間： 2015-12-31
上傳用戶：225588
This library provides a C++ interface to XML files. It uses libxml 2 to access the XML files, and in order to configure libxml++ you must have both libxml and pkg-config installed.
標(biāo)簽： files interface XML provides
上傳時(shí)間： 2016-01-05
上傳用戶：firstbyte
radius協(xié)議源碼÷The Radius Stack will connect to a Radius Server. This stack implementation is built upon the UdpStack which is available in the radius{version}/util directory. A minimal set of VSAs (Vendor Specific Attributes are supported by this stack). The Radius Stack should be used as a base class. In order to implement a larger set of VSAs, one will need to subclass from the Radius Stack and implement the functionality within the virtual function processVsa(). The Radius Stack supports mostly accounting messages. The authentcation messages will be supported in a future release. A test program has been provided in the radius directory. This program shows how to subclass from the RadiusStack and how to use the api.
標(biāo)簽： Radius implementation connect radius
上傳時(shí)間： 2013-12-12
上傳用戶：壞天使kk
We have a group of N items (represented by integers from 1 to N), and we know that there is some total order defined for these items. You may assume that no two elements will be equal (for all a, b: a<b or b<a). However, it is expensive to compare two items. Your task is to make a number of comparisons, and then output the sorted order. The cost of determining if a < b is given by the bth integer of element a of costs (space delimited), which is the same as the ath integer of element b. Naturally, you will be judged on the total cost of the comparisons you make before outputting the sorted order. If your order is incorrect, you will receive a 0. Otherwise, your score will be opt/cost, where opt is the best cost anyone has achieved and cost is the total cost of the comparisons you make (so your score for a test case will be between 0 and 1). Your score for the problem will simply be the sum of your scores for the individual test cases.
標(biāo)簽： represented integers group items
上傳時(shí)間： 2016-01-17
上傳用戶：jeffery
This article describes a sniffer for Windows. WinSniff is an application for capturing packets on the network. It displays all the packets that are transmitted on the local network and gives detailed information about each header in the packet. In order to keep it simple, I am not dealing with application level protocols. If you are interested, you can add features to support various application level protocols such as SMTP, FTP, NETBIOS etc
標(biāo)簽： application describes capturing for
上傳時(shí)間： 2016-01-22
上傳用戶：lijianyu172
You imagine? Right, there s more than one possibility, this time I ll give you tree. One for your private data, one for the common data in order to receive data from other applications like Excel, WinWord etc. and at last, I ll give you a handy-dandy class you can derive ANY MFC object from, to make it a drop target
標(biāo)簽： possibility imagine Right there
上傳時(shí)間： 2013-12-21
上傳用戶：jichenxi0730
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