The software implements particle filtering and Rao Blackwellised particle filtering for conditionally Gaussian Models. The RB algorithm can be interpreted as an efficient stochastic mixture of Kalman filters. The software also includes efficient state-of-the-art resampling routines. These are generic and suItable for any application. For details, please refer to Rao-Blackwellised Particle Filtering for Fault Diagnosis and On Sequential Simulation-Based Methods for Bayesian Filtering After downloading the file, type "tar -xf demo_rbpf_gauss.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab and run the demo.
ATViewer is a component for Delphi/C++Builder, which allows to view files of various types. There is no edit possibility, just quick view - so it s useful to implement "View file" feature in your Delphi/C++Builder application.
The following view modes are implemented:
Text, Binary, Hex, Unicode: all files, of unlimited size. Plain file dump is shown. Used ATBinHex component: only visible part of file is loaded into memory. Modes are suItable for huge files and files of unknown type.
RTF/UTF-8: RTF and UTF-8 encoded texts. File is shown using RichEdit control.
Image: all general image formats: BMP JPG ICO GIF PNG... File is shown using ATImageBox component.
Multimedia: all file types supported by MS Windows Media Player: AVI MPEG WMV MP3... File is shown using WMP ActiveX control.
Internet: all file types supported by MS Internet Explorer: HTML XML DOC XLS... File is shown using MSIE ActiveX control.
Plugins: all files supported by Total Commander Lister plugins.
This GTK+ version 2.12.3. GTK+ is a multi-platform toolkit for
creating graphical user interfaces. Offering a complete set of widgets,
GTK+ is suItable for projects ranging from small one-off projects to
complete application suites.
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
BP neural network for time series analysis predicted that by entering the corresponding time-series data to predict the future, suItable for beginners on the BP neural network learning
Boost provides free peer-reviewed portable C++ source libraries.
We emphasize libraries that work well with the C++ Standard Library. Boost libraries are intended to be widely useful, and usable across a broad spectrum of applications. The Boost license encourages both commercial and non-commercial use.
We aim to establish "existing practice" and provide reference implementations so that Boost libraries are suItable for eventual standardization. Ten Boost libraries are already included in the C++ Standards Committee s Library Technical Report (TR1) as a step toward becoming part of a future C++ Standard. More Boost libraries are proposed for the upcoming TR2.
Boost works on almost any modern operating system, including UNIX and Windows variants. Follow the Getting Started Guide to download and install Boost. Popular Linux and Unix distributions such as Fedora, Debian, and NetBSD include pre-built Boost packages. Boost may also already be available on your organization s internal web server.
This paper studies the problem of tracking a ballistic object in
the reentry phase by processing radar measurements. A suItable
(highly nonlinear) model of target motion is developed and the
theoretical Cramer—Rao lower bounds (CRLB) of estimation
error are derived. The estimation performance (error mean and
This paper studies the problem of tracking a ballistic object in
the reentry phase by processing radar measurements. A suItable
(highly nonlinear) model of target motion is developed and the
theoretical Cramer—Rao lower bounds (CRLB) of estimation
error are derived. The estimation performance (error mean and
This paper studies the problem of tracking a ballistic object in
the reentry phase by processing radar measurements. A suItable
(highly nonlinear) model of target motion is developed and the
theoretical Cramer—Rao lower bounds (CRLB) of estimation
error are derived. The estimation performance (error mean and
Fast Fourier Transform power point
The rectangular window introduces broadening of any frequency components [`smearing鈥? and sidelobesthat may overlap with other frequency components [`leakage鈥?.
鈥he effect improves as Nincreases
鈥owever, the rectangle window has poor properties and better choices of wncan lead to better spectral properties [less leakage, in particular] 鈥搃.e. instead of just truncating the summation, we can pre-multiply by a suItable window function wnthat has better frequency domain properties.
鈥ore on window design in the filter design section of the course
