In recent years large scientific interest has been devoted to joint data decoding and parameter estimation techniques. In this paper, iterative turbo decoding joint to channel frequency and phase estimation is proposed. The phase and frequency estimator is embedded into the structure of the turbo decoder itself, taking into consideration both turbo interleaving and puncturing. Results show that the proposed technique outperforms conventional approaches both in terms of detection capabilities and implementation complexity.
标签： scientific parameter interest decoding
上传时间： 2015-12-30
上传用户：894898248
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.
标签： sequential simulation posterior overview
上传时间： 2015-12-31
上传用户：225588
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.
标签： image registration multiframe techniques
上传时间： 2016-01-20
上传用户：520
DirectX not only provides fast access to the hardware and therefore incredibly speedy performance, but it also makes it much easier for hardware developers to produce new devices that work well in the Windows environment. The DirectX APIs take away the necessity of writing your own low-level, device-specific code to access hardware such as the display adapter and network card, making it much easier for you to write programs that take full advantage of the computer s multimedia capabilities.
标签： performance incredibly therefore hardware
上传时间： 2016-02-16
上传用户：秦莞尔w
Generate 100 samples of a zero-mean white noise sequence with variance , by using a uniform random number generator. a Compute the autocorrelation of for . b Compute the periodogram estimate and plot it. c Generate 10 different realizations of , and compute the corresponding sample autocorrelation sequences , and . Compute the average autocorrelation sequence as and the corresponding periodogram for . d Compute and plot the average periodogram using the Bartlett method. e Comment on the results in parts (a) through (d).
标签： zero-mean Generate sequence variance
上传时间： 2016-03-04
上传用户：朗朗乾坤
Atheros无线芯片AR-6000系列wince 6驱动源代码(这东西我也没用过别问我,我是搜别的wince资源搜到的) AR6K SDIO support. Requires firmware 1.1 on SD13 cards. readme: Atheros Communications AR6001 WLAN Driver for SDIO installation Read Me March 26,2007 (based on k14 fw1.1) Windows CE Embedded CE 6.0 driver installation. 1. Unzip the installation file onto your system (called installation directory below) 2. Create an OS design or open an existing OS design in Platform Builder 6.0. a. The OS must support the SD bus driver and have an SD Host Controller driver (add these from Catalog Items). b. Run image size should be set to allow greater than 32MB. 3. a. From the Project menu select Add Existing Subproject... b. select AR6K_DRV.pbxml c. select open This should create a subproject within your OS Design project for the AR6K_DRV driver. 4. Build the solution. 转自Tony嵌入式,原文地址：http://www.cevx.com/bbs/dispbbs.asp?boardID=4&ID=11762&page=1
标签： wince Requires firmware Atheros
上传时间： 2014-11-11
上传用户：bibirnovis
In this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. This detailed discussion of the ABC network should complement the UAI2000 paper by Arnaud Doucet, Nando de Freitas, Kevin Murphy and Stuart Russell. After downloading the file, type "tar -xf demorbpfdbn.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "dbnrbpf" for the demo.
标签： Rao-Blackwellised conditional filtering particle
上传时间： 2013-12-14
上传用户：小儒尼尼奥
1) Write a function reverse(A) which takes a matrix A of arbitrary dimensions as input and returns a matrix B consisting of the columns of A in reverse order. Thus for example, if A = 1 2 3 then B = 3 2 1 4 5 6 6 5 4 7 8 9 9 8 7 Write a main program to call reverse(A) for the matrix A = magic(5). Print to the screen both A and reverse(A). 2) Write a program which accepts an input k from the keyboard, and which prints out the smallest fibonacci number that is at least as large as k. The program should also print out its position in the fibonacci sequence. Here is a sample of input and output: Enter k>0: 100 144 is the smallest fibonacci number greater than or equal to 100. It is the 12th fibonacci number.
标签： dimensions arbitrary function reverse
上传时间： 2016-04-16
上传用户：waitingfy
I made a lot of changed on this object,such as * // 1.Encapsulates all code in one userobjet,since PB does not * // support "Address of Function" , so we can not set new * // WndProc, just makes the object more easy to use. * // 2.Uses structure array instead of Datastore * // 3.Calc width of menuitem at runtime(MEASUREITEM) * // 4.Draw disabled status
标签： Encapsulates userobjet changed object
上传时间： 2014-01-14
上传用户：lx9076
对PL0原编译器进行了以下的扩充：1.增加以下保留字else(elsesym), for(forsym),to(tosym),downto(downtosym),return(returnsym),[(lmparen),](rmparen) 2.增加了以下的运算符：+=(eplus),-=(eminus),++(dplus),--(dminus) 取址运算符&(radsym),指向运算符@(padsym) 3.修改单词：修改不等号#为<> 4.扩充语句：(1)增加了else子句 (2)增加了for语句 5.增加运算：(1).++运算 (2).--运算；(3).+=运算 (4).-=运算；(5).&取址运算； (6).@指向运算； 6.增加类型：(1).增加多维数组a[i1][i2][i3]……[i(n-1)][i(n-2)][in] (2).增加指针类型(任何变量都能存放指针，但不支持指针的指针，如b:=@@a应该改写为c:=@a,b:=@c) 7.将过程procedure扩展为函数：(1).允许定义过程时在其后加参数(var a, var b,……..,var n) (2)允许通过指针向函数形式参数传地址；(3)允许返回值；可以用 a:=p(a,b,c….,n) 返回
标签： downtosym returnsym elsesym downto
上传时间： 2016-07-02
上传用户：saharawalker
