代码搜索:Generates

找到约 10,000 项符合「Generates」的源代码

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inc switch.inc

;*** ;switch.inc - see switch.h for real definitions of switches ; ; Copyright 1985, 1986, 1987 Microsoft Corporation ; ; ;******************************************************************
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m gngauss.m

function [gsrv1,gsrv2]=gngauss(m,sgma) % [gsrv1,gsrv2]=gngauss(m,sgma) % [gsrv1,gsrv2]=gngauss(sgma) % [gsrv1,gsrv2]=gngauss % GNGAUSS generates two independent Gaussian random variables with me
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m a2dt.m

function beq = a2dT(d,n) % BEQ = A2DT(D, N) generates the decimal % equivalent beq of the binary representation % of a decimal number D with N bits for the % magnitude part obtained by truncation
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m a2dr.m

function beq = a2dR(d,n) % BEQ = A2DR(D, N) generates the decimal % equivalent beq of the binary representation % of a decimal number D with N bits for the % magnitude part obtained by rounding %
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make system.make

################################################################# # Makefile generated by Xilinx Platform Studio # Project:C:\work_dir\xilinx\update_to_EDK_10_1_03\Micrium-Xilinx-uCOS-II-ML403\uCOS
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m isfixed.m

%ISFIXED Test on fixed mapping % % I = ISFIXED(W) % ISFIXED(W) % % True if the mapping type of W is 'fixed' (see HELP MAPPINGS). If called % without an output argument ISFIXED generates an erro
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m iscombiner.m

%ISCOMBINER Test whether the argument is a combiner mapping % % OK = ISCOMBINER(W) % ISCOMBINER(W) % % INPUT % W Mapping % % OUTPUT % OK 1/0 indicating if the mapping type of W is COMBINER
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m istrained.m

%ISTRAINED Test on trained mapping % % I = ISTRAINED(W) % ISTRAINED(W) % % True if the mapping type of W is 'trained' (see HELP MAPPINGS). If % called without an output argument ISTRAINED gener
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m isuntrained.m

%ISUNTRAINED Test on untrained mapping % % I = ISUNTRAINED(W) % ISUNTRAINED(W) % % True if the mapping type of W is 'untrained' (see HELP MAPPINGS). % If called without an output argument ISUNTR
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m gngauss.m

function [gsrv1,gsrv2]=gngauss(m,sgma) % [gsrv1,gsrv2]=gngauss(m,sgma) % [gsrv1,gsrv2]=gngauss(sgma) % [gsrv1,gsrv2]=gngauss % GNGAUSS generates two independent Gaussian random variables with me