About: Paco (pacKAGE oRGANIZER) is a simple, yet powerful tool to aid package management when installing programs from source code. It uses the LD_PRELOAD method to track package installations, and provides various options to keep the installed software organized. It s mainly a command line application but it has also an optional GTKMM interface. Release focus: Minor bugfixes Changes: Libpaco-log has been rewritten in C. This prevents a glibc installation failure when building LFS in chapter 6. The option -x|--expand has been removed. Several bugs have been fixed in paco, gpaco, and rpm2paco. Author: David Rosal
標(biāo)簽： management oRGANIZER powerful pacKAGE
上傳時(shí)間： 2014-08-25
上傳用戶(hù)：weixiao99
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(hù)：luke5347
Subroutine MCHOLSK :To solves a hermitian positive definite set of complex linear simultaneous equations (AX=B) using the Cholesky decomposition method.
標(biāo)簽： simultaneous Subroutine hermitian definite
上傳時(shí)間： 2014-08-25
上傳用戶(hù)：windwolf2000
WordNet is an extensive database developed by Princeton University faculty and students over the last thirty years. The database defines relationships between words in a comparable method to the way humans think of related words.
標(biāo)簽： University Princeton extensive developed
上傳時(shí)間： 2014-06-12
上傳用戶(hù)：Andy123456
Sun公司Dream項(xiàng)目，DReaM-MMI protocol provides a method for ascertaining rights between a DRM client and server.
上傳時(shí)間： 2013-12-15
上傳用戶(hù)：離殤
H264 的碼率控制標(biāo)準(zhǔn)算法 TMN8，rate control method for h.264
標(biāo)簽： H264 TMN8 碼率控制 標(biāo)準(zhǔn)
上傳時(shí)間： 2015-12-12
上傳用戶(hù)：jeffery
This my phd thesis for the WDM optical network optimization, which employs convex optimization techniques to solve the proposed integer problems. The computation complexity of my optimization framework is very low compared with other existing method and a performance bound is provided at the same time.
標(biāo)簽： optimization employs optical network
上傳時(shí)間： 2015-12-27
上傳用戶(hù)：dongbaobao
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(hù)：牛布牛
Aiming at the application of passive trackinn based on sensor array, a new passive trackinn usinn sensor array based on particle filter was proposed. Firstly, the“fake points" could be almost entirely and exactly deleted with the aids of the sensor array at the expense of an additional sensor. Secondly, considered the fact that the measurements notten from each array were independent in passive trackinn system, a novel sequential particle filter usinn sensor array with improved distribution was proposed. At last, in a simulation study we compared this approach a壇orithm with traditional trackinn methods. The simulation re-sups show that the proposed method can nreatly improve the state estimation precision of sensor array passive trackinn system.
標(biāo)簽： trackinn passive application Aiming
上傳時(shí)間： 2015-12-31
上傳用戶(hù)：trepb001
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(hù)：225588
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