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热门代码： main.c GPIO I2C SPI UART timer interrupt ADC PWM LED
www.eeworm.com/read/140850/13059533

m r.m

function r = r(kernel) % R % % This method returns an upper bound on % % R > k(x1, x1) - k(x1, x2) % % for arbitrary x1 and x2. For a Gaussian radial basis kernel R = 1. % % File
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www.eeworm.com/read/140470/13078922

java m.java

/* Marv the Miner for Nokia Series 30, 40 and 60 and for selected MIDP 1.0 supported phones Copyright (C) 2003-2004 Digital Entertainment Europe AS (http://www.digiment.no) This prog
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www.eeworm.com/read/140163/13101358

h cfls.h

/* system-dependent definitions for fileutils programs. Copyright (C) 1989, 1990 Free Software Foundation, Inc. This program is free software; you can redistribute it and/or modify it un
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www.eeworm.com/read/140161/13102251

c pstr.c

/* Copyright 1994-2003 Free Software Foundation, Inc. This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by t
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www.eeworm.com/read/140161/13103087

h winmode.h

/* Copyright 1994-2003 Free Software Foundation, Inc. This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by t
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www.eeworm.com/read/140161/13103164

h browse.h

/* Copyright 1994-2003 Free Software Foundation, Inc. This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by t
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www.eeworm.com/read/241496/13139169

h geom.h

#include "Foundation.H" Coord min(Coord, Coord); Coord max(Coord, Coord); Coord abs(Coord); int round(Coord);
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www.eeworm.com/read/241061/13172561

h lm75.h

/* lm75.h - Part of lm_sensors, Linux kernel modules for hardware monitoring Copyright (c) 2003 Mark M. Hoffman This program is free software; you ca
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www.eeworm.com/read/325790/13184311

m props.m

function props(varargin) % Displays help on the properties of a gauss object % % Usage: props(gauss) % Toolbox for nonlinear filtering. % Copyright (C) 2005 Jakob Ros閚
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www.eeworm.com/read/325790/13184327

m var.m

function R = var(OBJ, N) % VAR Variance of Gaussian noise % VAR(W, T) returns variance of W at time T, T is ignored. % VAR(W, T, N) same as above, N discarded for Gaussian noise. % Copyright (C)
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