1FILTER1D(1) Generic Mapping Tools FILTER1D(1)
2
3
4
6 filter1d - Time domain filtering of 1-D time series
7
9 filter1d [ infile ] -F<type><width>[mode] [ -Dincrement ] [ -E ] [
10 -H[i][nrec] ] [ -Iignore_val ] [ -Llack_width ] [ -Nn_cols/t_col ] [
11 -Qq_factor ] [ -Ssymmetry_factor ] [ -Tstart/stop/int ] [ -V ] [
12 -b[i|o][s|S|d|D[ncol]|c[var1/...]] ] [ -f[i|o]colinfo ]
13
15 filter1d is a general time domain filter for multiple column time
16 series data. The user specifies the number of columns of input and
17 which column is the time. (See -N option below). The fastest opera‐
18 tion occurs when the input time series are equally spaced and have no
19 gaps or outliers and the special options are not needed. filter1d has
20 options -L, -Q, and -S for unevenly sampled data with gaps.
21
22 infile Multi-column ASCII (or binary, see -b) file holding data values
23 to be filtered.
24
25 -F Sets the filter type. Choose among convolution and non-convolu‐
26 tion filters. Append the filter code followed by the full fil‐
27 ter width in same units as time column. Available convolution
28 filters are:
29 (b) Boxcar: All weights are equal.
30 (c) Cosine Arch: Weights follow a cosine arch curve.
31 (g) Gaussian: Weights are given by the Gaussian function.
32 (f) Custom: Instead of width give name of a one-column file with
33 your own weight coefficients.
34 Non-convolution filters are:
35 (m) Median: Returns median value.
36 (p) Maximum likelihood probability (a mode estimator): Return
37 modal value. If more than one mode is found we return their
38 average value. Append - or + to the filter width if you rather
39 want to return the smallest or largest of the modal values.
40 (l) Lower: Return the minimum of all values.
41 (L) Lower: Return minimum of all positive values only.
42 (u) Upper: Return maximum of all values.
43 (U) Upper: Return maximum or all negative values only.
44 Upper case type B, C, G, M, P, F will use robust filter ver‐
45 sions: i.e., replace outliers (2.5 L1 scale off median) with
46 median during filtering.
47 In the case of L|U it is possible that no data passes the ini‐
48 tial sign test; in that case the filter will return 0.0.
49
51 -D increment is used when series is NOT equidistantly sampled.
52 Then increment will be the abscissae resolution, i.e., all
53 abscissae will be rounded off to a multiple of increment.
54 Alternatively, resample data with sample1d.
55
56 -E Include Ends of time series in output. Default loses half the
57 filter-width of data at each end.
58
59 -H Input file(s) has header record(s). If used, the default number
60 of header records is N_HEADER_RECS. Use -Hi if only input data
61 should have header records [Default will write out header
62 records if the input data have them]. Blank lines and lines
63 starting with # are always skipped.
64
65 -I To ignore values; If an input value equals ignore_val it will be
66 set to NaN.
67
68 -L Checks for Lack of data condition. If input data has a gap
69 exceeding width then no output will be given at that point
70 [Default does not check Lack].
71
72 -N Sets number of columns in input and which column contains the
73 independent variable (time). The left-most column is # 0, the
74 right-most is # (n_cols - 1). [Default is n_cols = 2, t_col =
75 0; i.e., file has t, f(t) pairs].
76
77 -Q assess Quality of output value by checking mean weight in convo‐
78 lution. Enter q_factor between 0 and 1. If mean weight <
79 q_factor, output is suppressed at this point [Default does not
80 check Quality].
81
82 -S Checks symmetry of data about window center. Enter a factor
83 between 0 and 1. If ( (abs(n_left - n_right)) / (n_left +
84 n_right) ) > factor, then no output will be given at this point
85 [Default does not check Symmetry].
86
87 -T Make evenly spaced timesteps from start to stop by int [Default
88 uses input times].
89
90 -V Selects verbose mode, which will send progress reports to stderr
91 [Default runs "silently"].
92
93 -bi Selects binary input. Append s for single precision [Default is
94 d (double)]. Uppercase S or D will force byte-swapping.
95 Optionally, append ncol, the number of columns in your binary
96 input file if it exceeds the columns needed by the program. Or
97 append c if the input file is netCDF. Optionally, append
98 var1/var2/... to specify the variables to be read.
99
100 -bo Selects binary output. Append s for single precision [Default
101 is d (double)]. Uppercase S or D will force byte-swapping.
102 Optionally, append ncol, the number of desired columns in your
103 binary output file. [Default is same as input].
104
105 -f Special formatting of input and/or output columns (time or geo‐
106 graphical data). Specify i or o to make this apply only to
107 input or output [Default applies to both]. Give one or more
108 columns (or column ranges) separated by commas. Append T (abso‐
109 lute calendar time), t (relative time in chosen TIME_UNIT since
110 TIME_EPOCH), x (longitude), y (latitude), or f (floating point)
111 to each column or column range item. Shorthand -f[i|o]g means
112 -f[i|o]0x,1y (geographic coordinates).
113
115 The ASCII output formats of numerical data are controlled by parameters
116 in your .gmtdefaults4 file. Longitude and latitude are formatted
117 according to OUTPUT_DEGREE_FORMAT, whereas other values are formatted
118 according to D_FORMAT. Be aware that the format in effect can lead to
119 loss of precision in the output, which can lead to various problems
120 downstream. If you find the output is not written with enough preci‐
121 sion, consider switching to binary output (-bo if available) or specify
122 more decimals using the D_FORMAT setting.
123
125 To filter the data set in the file cruise.gmtd containing evenly spaced
126 gravity, magnetics, topography, and distance (in m) with a 10 km Gauss‐
127 ian filter, removing outliers, and output a filtered value every 2 km
128 between 0 and 100 km:
129
130 filter1d cruise.gmtd -T0/1.0e5/2000 -FG10000 -N4/3 -V > fil‐
131 tered_cruise.gmtd
132
133 Data along track often have uneven sampling and gaps which we do not
134 want to interpolate using sample1d. To find the median depth in a 50
135 km window every 25 km along the track of cruise v3312, stored in
136 v3312.dt, checking for gaps of 10km and asymmetry of 0.3:
137
138 filter1d v3312.dt -FM50 -T0/100000/25 -L10 -S0.3 > v3312_filt.dt
139
141 GMT(1), sample1d(1)
142
143
144
145GMT 4.5.6 10 Mar 2011 FILTER1D(1)