FFTW, a collection of fast C routines to compute the Discrete Fourier Transform in one or more dimensions.The fftw/ directory contains the source code for the complex transforms, and the rfftw/ directory contains the source code for the real transforms.
标签： collection Transform Discrete routines
上传时间： 2016-08-17
上传用户：yoleeson
Images with Uncertainty Efficient Algorithms for Shift, Rotation, Scaling, and Registration, and Their Applications to Geosciences (2007).pdf
标签： Registration Uncertainty Algorithms Efficient
上传时间： 2016-08-23
上传用户：zhaiye
The package includes 3 Matlab-interfaces to the c-code: 1. inference.m An interface to the full inference package, includes several methods for approximate inference: Loopy Belief Propagation, Generalized Belief Propagation, Mean-Field approximation, and 4 monte-carlo sampling methods (Metropolis, Gibbs, Wolff, Swendsen-Wang). Use "help inference" from Matlab to see all options for usage. 2. gbp_preprocess.m and gbp.m These 2 interfaces split Generalized Belief Propagation into the pre-process stage (gbp_preprocess.m) and the inference stage (gbp.m), so the user may use only one of them, or changing some parameters in between. Use "help gbp_preprocess" and "help gbp" from Matlab. 3. simulatedAnnealing.m An interface to the simulated-annealing c-code. This code uses Metropolis sampling method, the same one used for inference. Use "help simulatedAnnealing" from Matlab.
标签： Matlab-interfaces inference interface the
上传时间： 2016-08-27
上传用户：gxrui1991
he algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization. The number of independent components are calculated using Bayes Information Criterion [3] (BIC), with PCA for dimension reduction.
标签： equivalent likelihood algorithm Sejnowski
上传时间： 2016-09-17
上传用户：Altman
The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order
标签： identification considered features separati
上传时间： 2016-09-20
上传用户：FreeSky
The toolbox solves a variety of approximate modeling problems for linear static models. The model can be parameterized in kernel, image, or input/output form and the approximation criterion, called misfit, is a weighted norm between the given data and data that is consistent with the model. There are three main classes of functions in the toolbox: transformation functions, misfit computation functions, and approximation functions. The approximation functions derive an approximate model from data, the misfit computation functions are used for validation and comparison of models, and the transformation functions are used for deriving one model representation from another. KEYWORDS: Total least squares, generalized total least squares, software implementation.
标签： approximate The modeling problems
上传时间： 2013-12-20
上传用户：15071087253
是一本介绍java基础应用的好书 Java For Artists targets both the undergraduate computer science or information technology student and the practicing programmer. It is both an introductory-level textbook and trade book. As a textbook it employs learning objectives, skill-building exercises, suggested projects, and self-test questions to reinforce the learning experience. The projects offered range from the easy to the extremely challenging. It covers all the topics you’d expect to find in an introductory Java programming textbook and then some. As a trade book it goes purposefully deeper into topics cut short or avoided completely in most introductory textbooks. Its coverage of advanced GUI programming techniques, network programming and object-oriented theory will enable you to take your skills to a higher level.
标签： undergraduate information computer Artists
上传时间： 2016-09-28
上传用户：qiaoyue
This application includes a demo server and client program. You could write your own server launcher and client application by using the SimpleScreenCaptureServer class and the SimpleRemoteScreenCaptureClient class. Usage: 1. Type the following command to launch the server program. java -jar SimpleCaptureScreenServerDemo.jar portnumber 2. Type the following command to launch the client program. It s a swing-based UI. java -jar RemoteScreenCaptureClientUI.jar 3. Select Run/Connect menu. Input your server address and port number. You could just double-click on the RemoteScreenCaptureClientUI.jar to launch the client program if you are using Windows. This program is written just for fun. :lol: :lol: :lol:
标签： server application includes launcher
上传时间： 2016-10-06
上传用户：kr770906
Abstract A new intelligent milometer base on a microcontroller can count the sum. By taking full use of the processor 89s51 and E² PROM (AT24C02) and sensor of magnetism, it can count the sum of fully distance and the course of development.
标签： microcontroller intelligent milometer Abstract
上传时间： 2016-10-12
上传用户：hoperingcong
DESCRIPTION =========== This example project shows how to use the IAR Embedded Workbench for ARM to develop code for the Atmel AT91SAM9261 evaluation boards. It shows basic use of parallel I/O, timer and the interrupt controller. It starts by showing different patterns on the LED s separated by half second. COMPATIBILITY ============= The project is compatible with the AT91SAM9261-EK board.
标签： DESCRIPTION Workbench Embedded example
上传时间： 2016-10-16
上传用户：yzy6007
