代码搜索:L

找到约 10,000 项符合「L」的源代码

代码结果 10,000
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m l_compare.m

function l_compare(varargin) % Function plots curves from one or more logs onto one plot. If depth units or curve units differ % they are automatically converted to those of the first curve (if a co
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m l_merge.m

function wlog=l_merge(wlog,curves,varargin) % Function replaces the null values of one curve with the corresponding % samples of another % Written by: E. R.: October 4, 2002 % Last updated: Augus
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m l_combine.m

function wlog=l_combine(wlog1,wlog2,varargin) % Combine two logs in such a way that the curves of the second log follow % "below" the curves of the first log. There are two options: % 1. Only
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m l_append.m

function wlog=l_append(wlog1,wlog2,varargin) % Function appends one log structure to another. % The following cases are handled (or planned). % 1. Both logs have the same depth values: %
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m l_sort.m

function wlog=l_sort(wlog,mnem,varargin) % Sort curves of a log so that a specified curve increases monotonically; % since the "depth" column of a log needs to increase strictly monotonically % a
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m l_regression.m

function [wlog,aux]=l_regression(wlog,expression,varargin) % Function creates new log curve using the mathematical expression contained in the % third input argument. Null values (NaNs) in the log c
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m l_reflections.m

function wlog=l_reflections(wlog,varargin) % Function computes reflection coefficients; % Written by: E. R., November 5, 2000 % Last update: March 18, 2001; Complete rewrite with new curve-name co
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m l_rename.m

function wlog=l_rename(wlog,varargin) % Function replaces one or more curve mnemonics by new ones % The function also works with structure arrays. % Written by: E. R., December 24, 2000 % Last upd
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m l_plot.m

function aux=l_plot(wlog,varargin) % Function plots log curves % Written by E. R., May 6, 2000 % Last update: October 3, 2004: Make y-axis smaller to accommodate title % % aux=l_plot(wl
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m l_average.m

function wlog=l_average(wlog,varargin) % Function computes running average over specified log curves % The function needs equidistantly sampled data; no null values % Written by: E. R., June 7, 200