The EM Wave MATLAB Library consists of a collection of MATLAB programs related to electromagnetic wave scattering with special emphasis on wave scattering by random rough surfaces and discrete random media.
標簽： MATLAB electromagnetic collection consists
上傳時間： 2015-09-06
上傳用戶：alan-ee
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.
標簽： One-channel distributed and simulator
上傳時間： 2014-01-15
上傳用戶：kr770906
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.
標簽： meta-learning classifiers combining Boosting
上傳時間： 2016-01-30
上傳用戶：songnanhua
Fast settling-time added to the already conflicting requirements of narrow channel spacing and low phase noise lead to Fractional4 divider techniques for PLL synthesizers. We analyze discrete "beat-note spurious levels from arbitrary modulus divide sequences including those from classic accumulator methods.
標簽： settling-time requirements conflicting already
上傳時間： 2016-04-14
上傳用戶：liansi
Probability distribution functions. estimation - (dir) Probability distribution estimation. dsamp - Generates samples from discrete distribution. erfc2 - Normal cumulative distribution function. gmmsamp - Generates sample from Gaussian mixture model. gsamp - Generates sample from Gaussian distribution. cmeans - C-means (or K-means) clustering algorithm. mahalan - Computes Mahalanobis distance. pdfgauss - Computes probability for Gaussian distribution. pdfgmm - Computes probability for Gaussian mixture model. sigmoid - Evaluates sigmoid function.
標簽： distribution Probability estimation functions
上傳時間： 2016-04-28
上傳用戶：13188549192
Image Compression A collection of simple routines for image compression using different techniques. 圖象壓縮的不同方法 BTCODE: Image compression Using Block Truncation Coding. PYRAMID: Image compression based on Gaussian Pyramids. DCTCOMPR: Image compression based on discrete Cosine Transform. IMCOMPR: Image compression based on Singular Value Decomposition. The given codes can be also used in 2D noise suppression. Notes: The function "conv2fft" performs a 2D FFT-based convolution. Type "help conv2fft" on Matlab command window for more informations.
標簽： Compression compression collection different
上傳時間： 2016-05-11
上傳用戶：磊子226
離散傅里葉變換是20世紀60年代是計算復雜性研究的主要里程碑之一，1965年Cooley和Tukey所研究的計算離散傅里葉變換(discrete Fourier Test)的快速傅氏變換(FFT)將計算量從О(n2)下降至О(nlogn)，推進了FFT更深層、更廣法的研究與應用。 這是一個傅氏變換的MPI程序，用C語言實現。
上傳時間： 2013-12-16
上傳用戶：luke5347
c的快速傅立葉變換程序包，the file FFT.ZIP contains C source code for performing discrete Fast Fourier Transforms (DFFTs) and inverse DFFTs.
上傳時間： 2014-01-07
上傳用戶：Altman
