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hpp type_id.hpp

// Copyright David Abrahams 2002. // Distributed under the Boost Software License, Version 1.0. (See // accompanying file LICENSE_1_0.txt or copy at // http://www.boost.org/LICENSE_1_0.txt) #ifndef TY
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m kalman_intro.m

% Kalman filter example demo in Matlab % This M code is modified from Andrew D. Straw's Python % implementation of Kalman filter algorithm. % The original code is here: % http://www.scipy.org/Cookboo
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py using_sys.py

#文件名:using_sys.py import sys print '命令行参数为:' for i in sys.argv: print i, '\n' print '\n\nPYTHONPATH(Python的默认路径)为', sys.path, '\n'
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readme

See run_varmod.py for details on how to run simulations. The file artificial.pickle contains the data used in the artificial data experiments reported in the ICA 2003 paper [1]. The MEG data used in
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po piglatin.po

# BitTorrent # Copyright (C) 2005, BitTorrent, Inc. # This file is distributed under the same license as the BitTorrent package. # Matt Chisholm, matt (dash) translations (at) bittorrent (dot) com, 20
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py psd_demo.py

#!/usr/bin/env python # python from pylab import * dt = 0.01 t = arange(0,10,dt) nse = randn(len(t)) r = exp(-t/0.05) cnse = conv(nse, r)*dt cnse = cnse[:len(t)] s = 0.1*sin(2*pi*t) + cnse subplot