代码搜索:performs

找到约 4,693 项符合「performs」的源代码

代码结果 4,693
www.eeworm.com/read/281000/10274049

cpp fig12_15.cpp

/** * Internal routine that performs a single or double rotation. * Because the result is attached to the parent, there are four cases. * Called by handleReorient. * item i
www.eeworm.com/read/275414/10817132

m receiverhd.m

function [DataOut, Metric] = ReceiverHD(HDchips, G, Scrambler); % % ReceiverHD Hard Decision Receiver. This function performs transmitted packet data recovering, % based
www.eeworm.com/read/275414/10817149

m receiversd.m

function [DataOut, Metric] = ReceiverSD(SDchips, G, Scrambler); % % ReceiverSD Soft Decision Receiver. This function performs transmitted packet data recovering, % based
www.eeworm.com/read/419474/10866128

m vecefllw.m

% vecefllw.m % Scope: This MATLAB macro performs the transformation from ECEF frame to % wander azimuth local level frame for a given position vector and
www.eeworm.com/read/419474/10866162

m vecefins.m

% vecefins.m % Scope: This MATLAB macro performs the transformation from ECEF to INS % platform coordinates (Wander / North, West, Up) for a given position
www.eeworm.com/read/419474/10866248

m vecefenu.m

% vecefenu.m % Scope: This MATLAB macro performs the transformation from ECEF frame to % ENU (East, North, Up) frame for a given position vector and %
www.eeworm.com/read/274297/10878340

m fluxvariability.m

function [minFlux,maxFlux] = fluxVariability(model,optPercentage,osenseStr,rxnNameList,verbFlag) %fluxVariability Performs flux variablity analysis % % [minFlux,maxFlux] = fluxVariability(model,opt
www.eeworm.com/read/470347/6918946

asm dft_mod.asm

/*_______________________________________________________________________ DFT.ASM ADSP-2106x Discrete Fourier Transform This routine performs an N point real DFT according to the following e
www.eeworm.com/read/461070/7235036

h alloca.h

// allocator.hh // // Given rate/distortion curves for nSets collections of transform // coefficients (contained in CoeffSet objects), performs a // constrained optimization of quantizer resolutio
www.eeworm.com/read/449504/7502094

m stvar.m

function results = stvar(y, param, x) % PURPOSE: performs a smooth transition vector autoregression %--------------------------------------------------- % USAGE: result = stvar(y, param, x) % whe