s_tide_v1.11
所属分类：波变换
开发工具：matlab
文件大小：20754KB
下载次数：1
上传日期：2018-10-27 14:10:40
上 传 者：
wind1234
说明： 是一种近期提出来的信号处理方法，用于潮汐分析，效果较好。
(It is a recently proposed signal processing method for tidal analysis with good results.)
文件列表:
s_tide_v1.11 (0, 2018-09-20)
s_tide_v1.11\imf.mat (21020431, 2017-05-05)
s_tide_v1.11\kushiro.mat (211912, 2017-05-05)
s_tide_v1.11\l_calculate_coefficient.m (615, 2018-07-29)
s_tide_v1.11\s_calculate_coefficient.m (1032, 2018-08-21)
s_tide_v1.11\s_demo.m (1698, 2018-09-20)
s_tide_v1.11\s_nodal_correction.m (969, 2018-07-29)
s_tide_v1.11\s_tide.m (6954, 2018-09-21)
s_tide_v1.11\t_astron.m (4395, 2003-02-10)
s_tide_v1.11\t_constituents.mat (29224, 2003-02-11)
s_tide_v1.11\t_getconsts.m (5688, 2010-04-13)
s_tide_v1.11\t_vuf.m (4678, 2010-04-13)
% s_readme.m
%
% Tidal Analysis Toolbox S_TIDE
% by
% Haidong Pan (Ocean University of ***)
%
% Version 1.11 September 20, 2018
%
%Please citing:
%1. Pan, H., Lv, X., Wang, Y., Matte, P., Chen, H., & Jin, G. (2018). Exploration of tidal-fluvial interaction in the Columbia River estuary using S_TIDE. Journal of Geophysical Research: Oceans, 123.
%2. Jin, G., H. Pan, Q. Zhang, X. Lv, W. Zhao, and Y. Gao (2018), Determination of Harmonic Parameters with Temporal Variations: An Enhanced Harmonic Analysis Algorithm and Application to Internal Tidal Currents in the South *** Sea, J. Atmos. Ocean. Technol., 35(7), 1375-13***
%3. Pawlowicz, R., B. Beardsley, and S. Lentz (2002), Classical tidal harmonic analysis including error estimates in MATLAB using T_TIDE, Comput. Geosci., 28(8), 929C937
%
% The toolbox presently contains the following mfiles:
%
% ---FOR ANALYSIS
% s_tide.m - computes the tidal analysis of the real tidal
% time series.
% s_nodal_correction.m -correct the amplitues and phases.
%
% t_vuf.m - computes nodal corrections (from T_TIDE package).
%
% t_astron.m - computes astronomical arguments (from T_TIDE package).
%
% t_getconsts.m - Gets constituent data structures (from T_TIDE package).
%
% s_calculate_coefficient -computes the spline interpolation weights
%
% l_calculate_coefficient -computes the linear interpolation weights
%
%
% ---FOR DOCUMENTATION
%
% s_readme.m - this file.
%
% ---FOR DEMONSTRATION
%
% s_demo.m - a short example using the Kushiro elevation data.
%
%
% Various data files are also included:
%
% t_constituents.mat - constituent data structures.
%
% kushiro.mat - hourly elevation data set used as an
% example (obtained from PSMSL)
% imf.mat - the modes obtained by Empirical Mode Decomposition (EMD) of the
% kushiro elevation data.
%
%
% Questions or comments to:
% Haidong Pan(Ocean University of ***) 2017/05/02 潘海东（中国海洋大学）
% email:1027128116@qq.com panhaidong_phd@qq.com
% S_TIDE users QQ group number (QQ群号）485997351
help s_readme
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