This toolbox distributes processes over matlab workers available over the intranet/internet (SPMD or MPMD parallel model). It is very useful for corsely granular parallelization problems and in the precesence of a distributed and heterogeneus computer enviroment. No need for configuration files ! Cross platforms, cross OS and cross MATLAB versions. Workers can be added to the parallel computation even if it has started. No need of a common file system, all comms are using tcpip connections
Title: STL Tutorial and Reference Guide: C++ Programming with the Standard Template Library (2nd Edition)
Author: David R. Musser / Gillmer J. Derge / Atul Saini / Gilmer J. Derge
Publisher: Addison-Wesley
Page: 560
Edition: 2nd edition (March 27, 2001)
Format: PDF
Summary: The Standard Template Library was created as the first library of genetic algorithms and data structures, with four ideas in mind: generic programming, abstractness without loss of efficiency, the Von Neumann computation model, and value semantics. This guide provides a tutorial, a description of each element of the library, and sample applications. The expanded second edition includes new code examples and demonstrations of the use of STL in real-world C++ software development it reflects changes made to STL for the final ANSI/ISO C++ language standard.
The same two-stage decoder as above. However, when transforming the symbols prior to Viterbi decoding, the amplitude information is ignored and only the phase of the received symbol is employed in the metric computation stage.
這是06年4月剛剛完成的程序，從opencore.org下載而來。用vhdl語言描寫，以及matlab仿真，testbench，以及在xinlinx上的綜合。
The MDCT core is two dimensional discrete cosine transform implementation designed for use in compression systems like JPEG. Architecture is based on parallel distributed arithmetic with butterfly computation.
英文版,pdf格式。
詳細(xì)說明：
Title: STL Tutorial and Reference Guide: C++ Programming with the Standard Template Library (2nd Edition)
URL: http://www.amazon.com/exec/obidos/tg/detail/-/0201379236/
ISBN: 0201379236
Author: David R. Musser / Gillmer J. Derge / Atul Saini / Gilmer J. Derge
Publisher: Addison-Wesley
Page: 560
Edition: 2nd edition (March 27, 2001)
Catalog: C++
Format: PDF
Size: 3.8M
Supplier: December
Summary: The Standard Template Library was created as the first library of genetic algorithms and data structures, with four ideas in mind: generic programming, abstractness without loss of efficiency, the Von Neumann computation model, and value semantics. This guide provides a tutorial, a description of each element of the library, and sample applications. The expanded second edition includes new code examples and demonstrations of the use of STL in real-world C++ software development it reflects changes made to STL for the final ANSI/ISO C++ language standard.
This my phd thesis for the WDM optical network optimization, which employs convex optimization techniques to solve the proposed integer problems. The computation complexity of my optimization framework is very low compared with other existing method and a performance bound is provided at the same time.
ICA介紹課件。There has been a wide discussion about the application of Independence Component Analysis (ICA) in Signal Processing, Neural computation and Finance, first introduced as a novel tool to separate blind sources in a mixed signal. The Basic idea of ICA is to reconstruct from observation sequences the hypothesized independent original sequences
The problem of image registration subsumes a number of problems and techniques in multiframe
image analysis, including the computation of optic flow (general pixel-based motion), stereo
correspondence, structure from motion, and feature tracking. We present a new registration
algorithm based on spline representations of the displacement field which can be specialized to
solve all of the above mentioned problems. In particular, we show how to compute local flow,
global (parametric) flow, rigid flow resulting from camera egomotion, and multiframe versions of
the above problems. Using a spline-based description of the flow removes the need for overlapping
correlation windows, and produces an explicit measure of the correlation between adjacent flow
estimates. We demonstrate our algorithm on multiframe image registration and the recovery of 3D
projective scene geometry. We also provide results on a number of standard motion sequences.
