gmt-fork/doc/scripts/GMT_App_J_2.sh

#!/usr/bin/env bash
#
# Script to draw the impulse responses and transfer functions
# for GMT cookbook Appendix_J.
#
# W H F Smith, 18 December 1998.
#
# 1-dimensional case, "gmt filter1d", Fourier transform.
#
# Impulse responses (relative amplitude, x in units of
#   length per filter width).
#
# Let distance units be expressed relative to filter width,
# i.e. x = s/w, where s is the user's distance unit and w
# is the user's filter width in the argument to gmt filter1d.
# Then the impulse responses are non-zero only for fabs(x) < 0.5.
# The impulse responses for fabs(x) < 0.5 are proportional to:
#    boxcar:    h(x) = 1.0;
#    cosine:    h(x) = 0.5 * (1.0 + cos(2 * pi * x) );
#    gaussian:  h(x) = exp (-18 * x * x);
# The factor 18 comes from the fact that we use sigma = 1/6
# in these units and a definition of the gaussian with the
# factor 1/2 as in the normal probability density function.
#
# Transfer functions (f = frequency in cycles per filter width):
# H(f) = integral from -0.5 to 0.5 of h(x) * cos(2 * pi * f * x).
#    boxcar:    H(f) = (sin (pi f) ) / (pi * f);
#    cosine:    H(f) = ((sin (pi f) ) / (pi * f)) / ( 1.0 - f*f);
#    gaussian:  H(f) ~ exp (-(1/18) * (pi * f) * (pi * f) );
# The gaussian H(f) is approximate because the convolution is
# carried only over fabs(x) < 0.5 and not fabs(x) -> infinity.
# Of course, all these H(f) are approximate because the discrete
# sampling of the data is not accounted for in these formulae.
#
#
# 2-dimensional case, "gmt grdfilter", Hankel transform.
#
# Impulse response:
#   Let r be measured in units relative to the filter width.
#   The filter width defines a diameter, so the impulse
#   response is non-zero only for r < 0.5, as for x above.
#   So the graph of the impulse response h(r) for 0 < r < 0.5
#   is identical to the graph for h(x) for 0 < x < 0.5 above.
#
# Transfer functions:
#   These involve the Hankel transform of h(r):
# H(q) = 2 * pi * Integral from 0 to 0.5 of h(r) * J0(2piqr) r dr
# as in Bracewell, p. 248, where J0 is the zero order Bessel function,
# and q is in cycles per filter width.
#    boxcar:    H(q) = J1 (2 * pi * q) / (pi * q);  J1 = 1st order Bessel fn.
#    cosine:    H(q) = must be evaluated numerically (?**).
#    gaussian:  H(q) ~ exp (-(1/18) * (pi * q) * (pi * q) );
#
# After many hours of tedium and consulting the treatises like Watson,
# I gave up on obtaining an answer for the Hankel transform of the
# cosine filter.  I tried substituting an infinite series of J(4k)(z)
# for 1 + cos(z), and I tried substituting an integral form of J0(z).
# Nothing worked out.
#
# I tried to compute the Hankel transform numerically on the HP, and
# found that the -lm library routines j0(x) and j1(x) give wrong answers.
# I used an old Sun to compute "tt.r_tr_fns" for plotting here.
# PW: I included that file into the script below
#
# NOTE that the expressions in the comments above are not the actual
# impulse responses because they are normalized to have a maximum
# value of 1.  Direct Fourier or Hankel transform of these values
# gives a transfer function with H(0) not equal 1, generally.  I
# have normalized the transfer functions (correctly) so that H(0)=1.
# Thus the graphs of H are correct, but the graphs of h(x) are only
# relative.  One reason for doing it this was is that then the
# graphs of h(x) can be interpreted as also = the graphs of h(r).
#
#---------------------------------------------------
gmt begin GMT_App_J_2
gmt set GMT_THEME cookbook
gmt set FONT_ANNOT_PRIMARY 10p,Times-Roman FONT_TITLE 14p,Times-Roman FONT_LABEL 12p,Times-Roman
gmt math -T0/5/0.01 T SINC = | gmt plot -R0/5/-0.3/1 -JX4i/2i -Bxa1f0.2+l"Frequency (cycles per filter width)" -Bya0.2f0.1g1+l"Gain" -BWeSn -Wthick
gmt math -T0/5/0.01 T SINC 1 T T MUL SUB DIV = | grep -v '^>' | $AWK '{ if ($1 == 1) print 1, 0.5; else print $0}' | gmt plot -Wthick,-
gmt math -T0/5/0.01 T PI MUL DUP MUL 18 DIV NEG EXP = | gmt plot -Wthick,.
gmt text -F+f9p,Times-Roman+j << END
2.2	0.6	LM	Solid Line:
2.2	0.5	LM	Dotted Line:
2.2	0.4	LM	Dashed Line:
3.8	0.6	RM	Boxcar
3.8	0.5	RM	Gaussian
3.8	0.4	RM	Cosine
END
gmt end show