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
是一本介紹java基礎應用的好書
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.
用20個示例項目的方式介紹Matlab/Simulink。內容包括：
*Contains over 20 hands-on projects in MATLAB(with code) integrated throughout the book *Includes a complete introduction to Simulink *Accompanied by a CD-ROM containing MATLAB examples, source code, third party simulations & projects *Suitable for self-study and professional licensing exams *Designed for the reader who does not have extensive math and programming experience *Contains many practical applications of MATLAB and Simulink
最受歡迎的Joomla社區用戶管理收費插件 - Commnity Builder 1.2 RC2。
Community Builder suite (CB) extends the Joomla! user management system. Key features: extra fields in profile, enhanced registration workflows, user lists, connection paths between users, admin defined tabs and user profiles, image upload, front-end workflow management, integration with other components, like PMS, Newsletter, Forum, Galleries. Release 1.1 is compatible with all Joomla! 1.0.x (including 1.0.15) and Mambo 4.5.2-4.6.4. New CB version 1.2 RC brings Joomla 1.5 native compatibility (and keeping Joomla 1.0.x and Mambo 4.5.2-4.6.4 native compatibility), multi-criteria user searches, full field controls of core fields, ajax email and username checkers, new lost username/password form and many more features and fixes. Please see announcement on our homepage.
最受歡迎的Joomla 社區用戶管理收費插件 Community Builder 1.2 RC2 的電子書，僅提供給付費會員
Community Builder suite (CB) extends the Joomla! user management system. Key features: extra fields in profile, enhanced registration workflows, user lists, connection paths between users, admin defined tabs and user profiles, image upload, front-end workflow management, integration with other components, like PMS, Newsletter, Forum, Galleries. Release 1.1 is compatible with all Joomla! 1.0.x (including 1.0.15) and Mambo 4.5.2-4.6.4. New CB version 1.2 RC brings Joomla 1.5 native compatibility (and keeping Joomla 1.0.x and Mambo 4.5.2-4.6.4 native compatibility), multi-criteria user searches, full field controls of core fields, ajax email and username checkers, new lost username/password form and many more features and fixes. Please see announcement on our homepage.
gps matlab 仿真程序（A collection of geodetic functions that solve a variety of problems in geodesy. Supports a wide range of common and user-defined reference ellipsoids. Most functions are vectorized.）
This GUI can be used by entering nu at the MATLAB command prompt. The user can either select a function (f(x)) of their choice or a statistical distribution probability distribution function to plot over a user defined range. The function s integral can be evaluated over a user defined range by using: The composite trapezium, simpsons and gauss-legendre rules. This is useful for calculating accurate probabilities that one might see in statistical tables.
Range imaging offers an inexpensive and accurate means for
digitizing the shape of three-dimensional objects. Because most
objects self occlude, no single range image suffices to describe the
entire object. We present a method for combining a collection of
range images into a single polygonal mesh that completely describes
an object to the extent that it is visible from the outside.
neural network utility is a Neural Networks library for the
C++ Programmer. It is entirely object oriented and focuses
on reducing tedious and confusing problems of programming neural networks.
By this I mean that network layers are easily defined. An
entire multi-layer network can be created in a few lines, and
trained with two functions. Layers can be connected to one another
easily and painlessly.
