One-channel queuing system simulator (M/M/1) * Arrival and service times are random and distributed exponetially. * * The simulator is time-slice-driven, i.e. the system model is being * run at discrete time points, with constant increments deltaT. * At each such time moment, program checks if a new item arrival or * release has occurred during previus deltaT.
標(biāo)簽： One-channel distributed and simulator
上傳時間： 2014-01-15
上傳用戶：kr770906
里面是幾個小波構(gòu)造的程序，Daubechies小波基的構(gòu)造，采用多孔trous算法(undecimated wavelet transform)實(shí)現(xiàn)小波變換 。
標(biāo)簽： 程序
上傳時間： 2013-12-14
上傳用戶：王慶才
3D reconstruction, medical image processing from colons, using intel image processing for based class. This source code. Some code missing but I think you can understand it. Development version. This source code is very interesting for learning segmentation and registration from dataset. This code also has some technique about GPU image processing for ray tracing. Also learn many filter apply for transform from spatial domain to frequency domain.
標(biāo)簽： processing image reconstruction medical
上傳時間： 2013-12-19
上傳用戶：q123321
The Joint Video Team (JVT) of ISO/IEC MPEG and ITU-T VCEG are finalising a new standard for the coding (compression) of natural video images. The new standard [1] will be known as H.264 and also MPEG-4 Part 10, “Advanced Video Coding”. This document describes the transform and quantization processes defined, or implied, by the standard.
標(biāo)簽： finalising standard Joint ITU-T
上傳時間： 2015-12-08
上傳用戶：hongmo
When I first studied Kalman filtering, I saw many advanced signal processing submissions here at the MATLAB Central File exchange, but I didn t see a heavily commented, basic Kalman filter present to allow someone new to Kalman filters to learn about creating them. So, a year later, I ve written a very simple, heavily commented discrete filter.
標(biāo)簽： submissions processing filtering advanced
上傳時間： 2015-12-23
上傳用戶：變形金剛
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
上傳時間： 2015-12-31
上傳用戶：225588
Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form a strong classifier. Adaptive Boosting (Adaboost) implements this idea as a greedy search for a linear combination of classifiers by overweighting the examples that are misclassified by each classifier. icsiboost implements Adaboost over stumps (one-level decision trees) on discrete and continuous attributes (words and real values). See http://en.wikipedia.org/wiki/AdaBoost and the papers by Y. Freund and R. Schapire for more details [1]. This approach is one of most efficient and simple to combine continuous and nominal values. Our implementation is aimed at allowing training from millions of examples by hundreds of features in a reasonable time/memory.
標(biāo)簽： meta-learning classifiers combining Boosting
上傳時間： 2016-01-30
上傳用戶：songnanhua
A new cable fault location method based on wavelet reconstruction is proposed. In this method the difference between the currents of faulty phase and sound phase under the high voltage pulse excitation is used as the measured signal and is decomposed in multi-scale by wavelet transform, then reconstructed in single scale. Comparing with traditional fault location method by travelling wave, the presented method will not be interfered by the reflected wave from the branch joint of cables or from other positions where the impedances are not matched and not be influenced by fault types, otherwise, the reflected waves can be recognized even the faulty position is near to the measuring terminal, at the same time, the influence of the wave speed uncertainty can be reduced. The correctness of the proposed method is proved by simulation results.
標(biāo)簽： method reconstruction location proposed
上傳時間： 2016-02-04
上傳用戶：maizezhen
A Numerical Photonics library written in C++. The library includes beam propagation method, coupled mode method, Bragg Gating Analysis, transfer matrix method, and vectorial Fourier Decomposition method. Very useful in simulating integrated Photonic devices
標(biāo)簽： library propagation Numerical Photonics
上傳時間： 2013-12-22
上傳用戶：wendy15
幾種常用的壓縮算法 本程序包含以下功能： 1、 Arithmetic coding 2、 Huffman coding 3、 LZ77 coding 4、 LZ78 coding 5、 LZW 6、 RLE 7、 DCT 8、 Furie transform
標(biāo)簽： coding Arithmetic Huffman LZ
上傳時間： 2014-01-18
上傳用戶：caozhizhi
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