Programs

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Seismic Unix has programs for performing many of the operations of geophysical signal processing. It is possible to use it to manipulate and create your own seismograms, and also to convert them between the SU standard file and the industry standard SEG Y. Here you can find a list of the programs that the SU package has, with a brief description and a link to its help page.

Contents

Data type conversion

Some of the most common tasks that that the researcher or processor has to perform is the conversion of one data type into another. Many operations are simply the conversion of ascii to binary and vice versa, but others involve specialized seismic data types (SEG-B, SEG-D, and SEGY-Y) to other forms. The internal format of the SU package is derived from the SEGY type.

Binary and Ascii Data Type Conversion

The following codes are for the conversion and manipulation of binary or ASCII data.

ASCII to BINARY, BINARY to ASCII

Floats

Floats
a2b convert ascii floats to binary
b2a convert binary floats to ascii

Ints

Ints
a2i convert ascii ints to binary
i2a convert binary ints to ascii

Float to IBM tape, IBM tape to Float

Float to IBM tape, tape to IBM float
float2ibm convert native binary FLOATS to IBM tape FLOATS
ibm2float convert IBM tape FLOATS to native binary FLOATS

Fortran to C binary floats, C to fortran binary floats

= Fortran to C binary float conversion

Fortran to C binary floats
ftnstrip convert a file of binary data plus record delimiters created via Fortran to a file containing only binary values (as created via C)

C style to Fortran style Binary Floats

C to Fortran style binary floats
ftnunstrip convert C binary floats to Fortran style floats


Hex to binary (for extracting data from PostScript images)

Hex to binary -- for extracting data out of PostScript images
h2b convert 8 bit hexidecimal floats to binary

Binary to Binary conversion of ints, floats, longs, shorts, chars, doubles

recast RECAST data type (convert from one data type to another)

Re-represent, Resample, Subsample, Transpose, Byte Swap, Perform Arithmetic on binary data

Resample f(x1,x2)

Resample the 1st dimension of an f(x1,x2)
resamp Resample the 1st dimension of a 2-dimensional function f(x1,x2)

Uniformly resample non-uniformly sampled data

1D

1D
unisam UNIformly SAMple a function y(x) specified as x,y pairs

2D

2D
unisam2 UNIformly SAMple a 2-D function f(x1,x2)

Subsample a 3D function

Extract a subset of a binary file
subset Select a SUBSET of the samples from a 3-dimensional file

=== x,y to z, z to xy, Some third party programs require different data formats

x,y pairs to z and z to x,y,z
xy2z converts (X,Y)-pairs to spike Z values on a uniform grid
z2xyz convert binary floats representing Z-values to ascii form in X Y Z ordered triples
regrid3 REwrite a [ni3][ni2][ni1] GRID to a [no3][no2][no1] 3-D grid

File Arithmetic on binary files

File arithmetic
farith File ARITHmetic -- perform simple arithmetic with binary files

Transpose a binary file

Transpose a binary file
transp Transpose an n1 by n2 element matrix

Byte Swap a binary file

It is not uncommon for there to be issues of transporting data from high byte (big endian) to low byte (little endian) platforms.

Byte swapping
swapbytes SWAP the BYTES of various data types



File Statistical Parameters

Entropy of a binary file

entropy of a binary data set
entropy compute the ENTROPY of a signal

Central Probability Density Function

cpftrend generate picks of the Cumulate Probability Function

Probability Density Function

pdfhistogram generate a HISTOGRAM of the Probability Density function




Multiresolution analysis of a binary file

Multiresolution analysis by Wavelet transform
mrafxzwt Multi-Resolution Analysis of a function F(X,Z) by Wavelet Transform

Building Binary Files for Velocity Models, etc.

Stiffnesses to Velocities and vice versa

Stiffnesses to Velocities

Stiffnesses to Velocites and Thomsen Paramters
stiff2vel Transforms 2D elastic stiffnesses to (vp,vs,epsilon,delta)

Velocity to Stiffness

vel2stiff Transforms VELocities, densities, and Thomsen or Sayers parameters to elastic STIFFnesses

HTI Elastic Parameters to Stiffnesses

hti2stiff convert HTI parameters alpha, beta, d(V), e(V), gamma into stiffness tensor

Thomsen Paramters to HTI

Thom2hti 'Convert Thompson parameters V_p0, V_s0, eps, gamma, to the HTI parameters alpha, beta, epsilon(V), delta(V), gamma

Thomsen Paramters to Stiffnesses

thom2stiff Convert Thompson parameters V_p0, V_s0, eps, gamma, to the HTI parameters alpha, beta, epsilon(V), delta(V), gamma


Velocity Model building

Uniformly sampled velocities

Simple profile with a lens
makevel MAKE a VELocity function v(x,y,z)

Uniformly Sampled velocity v(z,x)

unif2 generate a 2-D UNIFormly sampled velocity profile from a layered model. In each layer, velocity is a linear function of position.


Uniformly Sampled profile of an elastic parameter profile: Stiffnesses(z,x)

unif2aniso generate a 2-D UNIFormly sampled profile of elastic constants from a layered model.

Add Random Velocity Layer

Add a random Velocity layer (RVL)
randvel3d Add a random velocity layer (RVL) to a gridded v(x,y,z) velocity model



Special profiles

Cellular Automata Generated

cellauto Two-dimensional CELLular AUTOmata


Miscellaneous Binary File Tools

Fast Concatenation

Fast concatenation of files
fcat fast cat with 1 read per file


Synthetics, Test patterns, and Waveforms

Add Noise and shifts

Add noise and shifts
suaddnoise add noise to traces
sujitter Add random time shifts to seismic traces
suaddstatics ADD random STATICS on seismic data

Waveforms

suvibro Generates a Vibroseis sweep (linear, linear-segment, dB per octave, dB per hertz, T-power)
suwaveform generate a seismic wavelet
sudgwaveform make Gaussian derivative waveform in SU format

Test Patterns

= Empty (zero value) traces

Blank Traces
sunull create null (all zeroes) traces

Spike (point), Line, and Moveout Events

Linear events
suplane create common offset data file with up to 3 planes
Linear and hyperbolic moveout events
suaddevent add a linear or hyperbolic moveout event to seismic data
Spike events
suplane create common offset data file with up to 3 planes
Spike events with non-hyperbolic moveouts
sunhmospike generates SPIKE test data set with a choice of several Non-Hyperbolic MOveouts
Random Spike events
surandspike make a small data set of RANDom SPIKEs

Synthetics 1D

Goupillaud Modeling

Goupillaud -- full impulse response
sugoupillaud calculate 1D impulse response of non-absorbing Goupillaud medium
Primaries Only
sugoupillaudpo calculate Primaries-Only impulse response of a lossless GOUPILLAUD medium for plane waves at normal incidence

Finite Difference

First Order, One Dimensional, Acoustic
sufdmod1 Finite difference modelling (1-D 1rst order) for the acoustic wave equation

Synthetics 2D

Finite Difference

sufdmod2 Finite-Difference MODeling (2nd order) for acoustic wave equation
sufdmod2 Finite-Difference MODeling (2nd order) for acoustic wave equation

Single Point Scatterer by the Born Modeling Formula

Impulse 2D by the Born Modeling Formula
suimp2d generate shot records for a line scatterer embedded in three dimensions using the Born integral equation

Synthetics 3D

Single Point Scatterer by the Born Modeling Formula

Impulse 3D
suimp3d generate inplane shot records for a point scatterer embedded in three dimensions using the Born integral equation


SEGY and SU Data Type Conversion

The most commonly used data exchange format is the SEG-Y (SEGY) data format. Tools for reading and writing SEGY data allow the user to convert data in this format to the SU format. Some data that are advertised as being "SEG-Y" are not that format at all, but may require careful choice of parameters to read into the SU format.

SEGY to SU, SU to SEGY format conversions

Read an SEGY tape (file) into SU

SEGY to type SU
segyread read an SEG-Y tape

Write a SEGY tape (file) from SU

SU to SEGY
segywrite write an SEG-Y tape

Header Tools for Segyread and Segywrite

Header tools associated with segyread and segywrite
segyhdrs make SEG-Y ascii and binary headers for segywrite
segyclean zero out unassigned portion of header
bhedtopar convert a Binary tape HEaDer file to PAR file format
setbhed SET the fields in a SEGY Binary tape HEaDer file, as would be produced by segyread and segyhdrs
segyhdrmod replace the text header on a SEGY file

Swap the bytes of SU headers and data

Byte Swap Reel Headers

Byte swapping (headers)
swapbhed SWAP the BYTES in a SEGY Binary tape HEaDer file

Byte Swap SU files

Byte swapping (SU data)
suswapbytes SWAP the BYTES in SU data to convert data from big endian to little endian byte order, and vice versa

Dump SU file to ASCII

SU to ascii
suascii print non zero header values and data in various formats

Old SU to new SU XDR format

If you have switched to using the SUXDR format but have SU files in the old format then this tool lest you convert files in the old format to the new format.

Old SU to new SU XDR format
suoldtonew convert existing su data to xdr format

SEG D, SEG B, and Sensors and Software DT1 (GPR)

The SEG-D and SEG-B formats are common acquisition formats for seismic data.

Read SEGD data into SU

SEG D to SU
segdread read an SEG-D tape

Read SEGB data into SU

SEG B to SU
segbread read an SEG-B tape (untested, possibly needs fixing)

Sensors and Software DT1 format to SU

Sensors and Software X.DT1 to SU (ground penetrating radar)
dt1tosu Convert ground-penetrating radar data in the Sensors & Software X.dt1 GPR format to SU format.

Editing, Sorting and Header Manipulation

The SU data format is based on the SEGY header field structure. The fields of the trace headers, called "header words" in SU are identified by "key words".

View Header Words

View the header words and header types
sukeyword guide to SU keywords in segy.h

Set, Change, View Header Values

Set Header Words
suaddhead put headers on bare traces and set the tracl and ns fields
sushw Set one or more Header Words using trace number, mod and integer divide to compute the header word values or input the header word values from a file
sulhead Load information from an ascii column file into HEADERS

Compute and Set Header Fields

Compute and set specific header fields
suabshw Replace header key word by its absolute value
suahw Assign Header Word using another header word
suazimuth Compute trace AZIMUTH given the sx,sy,gx,gy header fields and set a user-specified header field to this value
suchw Change Header Word using one or two header word fields
sucliphead Clip header values
suhtmath do unary arithmetic operation on segy traces with headers values
sulcthw Linear Coordinate Transformation of Header Words
surandhw set header word to random variable
susehw Set the value the Header Word denoting trace number within an Ensemble defined by the value of another header word

Remove or Restore Trace Headers

Remove and restore (cut and paste) trace headers
sustrip remove the SEGY headers from the traces
supaste paste existing SU headers on existing binary data

== View Header Fields and Trace Count

View header Word Values and trace count
sugethw Sugethw writes the values of the selected key words
sucountkey COUNT the number of unique values for a given KEYword.
sukeycount sukeycount writes a count of a selected key
sudumptrace print selected header values and data. Print first num traces. Use SUWIND to skip traces.
surange get max and min values for non-zero header entries
sutrcount SU program to count the TRaces in infile

View and Edit Trace Header Values

View and edit header word values
suedit examine segy diskfiles and edit headers
sutab print non zero header values and data for non-graphic terminals
suxedit examine segy diskfiles and edit headers (X windows graphics)

UTM Projection and Latitude and Logitude in Headers

UTM projection of latitude and longitude
suutm UTM projection of longitude and latitude in SU trace headers

Binning

Binning
sucdpbin Compute CDP bin number

Stacking charts

Header value charts (stacking and shooting)
suchart prepare data for x vs. y plot
su3dchart plot x-midpoints vs. y-midpoints for 3-D data

Sorting and Windowing SU Data

An important part of seismic data processing is producing ensembles, also known as gathers. These gathers are produced by first sorting the data into ensembles sharing the same identifying keyword.

Sorting

Sort Data by Header Field Values

Sort data by header field
susort sort on any segy header keywords

Model Data to view Sorting Geometry

Modeling to view sorting geometry
susorty make a small 2-D common shot off-end data set in which the data show geometry values to help visualize data sorting

Windowing

suwind window traces by key word
suwindpoly WINDow data to extract traces on or within a respective POLYgonal line or POLYgon with coordinates specified by header keyword values
susplit Split traces into different output files by keyword value

SU file operations

Operations on a Single File

Arithmetic and other simple operations on traces
suop do unary arithmetic operation on segys
Flip
suflip flip a data set in various ways
Permute
supermute permute or transpose a 3d datacube
Reciprocal summing of traces within a file
surecip sum opposing offsets in prepared data
recip sum opposing (reciprocal) offsets in cdp sorted data


Operations on a pair of files

Arithmetic and other simple operation between traces in two files
suop2 do a binary operation on two data sets
sucmp CoMPare two seismic data sets, returns 0 to the shell if the same and 1 if different
sudiff,susum,suprod,suquo difference, sum, product, quotient of two SU data sets via suop2
maxdiff find absolute maximum difference in two segy data sets


Amplitudes

Geometrical Spreading Correction

Divergence correction V(t) model
sudivcor Divergence (spreading) correction

== Dip Dependent Spreading Correction

sudipdivcor Dip-dependent Divergence (spreading) correction

Gaining and Normalization

Gaining, normalization
suagc perform agc on SU data
sugain apply various types of gain
sunormalize Trace balancing by rms, max, or median
supgc Programmed Gain Control--apply agc like function but the same function to all traces preserving relative amplitudes spatially.
suweight weight traces by header parameter, such as offset
unglitch clip outliers in data


Zeroing, NaN removal

NaN removal
sunan remove NaNs & Infs from the input stream
Zeroing
sukill zero out traces
suzero zero-out (or set constant) data within a time window

Byte swapping

suswapbytes Swap the bytes in SU data to convert data from big endian to little endian byte order, and vice versa

Trace Attributes and Statistical Parameters

Traditional instantaneous amplitude, phase frequency, and more
suattributes instantaneous trace ATTRIBUTES
suenv Instantaneous amplitude, frequency, and phase via: suattributes
Maximum (minimum) values
sumax get trace by trace local/global maxima, minima, or absolute maximum
Mean Values
sumean get the mean values of data traces
Histogram
suhistogram create histogram of input amplitudes
Quantile
suquantile display some quantiles or ranks of a data set



Convolution, Correlation, Deconvolution, and Shaping

Correlation

Auto Correlation

Autocorrelation
suacor auto-correlation
suacorfrac general FRACtional Auto-CORrelation/convolution

Cross Correlation

Cross correlation
suxcor correlation with user-supplied filter

Convolution

Convolution (in the Time domain)

Convolution
suconv convolution with user-supplied filter

Refraction Convolution Section (RCS)

Refraction Convolution Section (RCS) Dereck Palmer's refraction process
surefcon Convolution of user-supplied Forward and Reverse refraction shots using XY trace offset in reverse shot


Deconvolution

Deconvolution by Complex Division in the Frequency Domain

Deconvolution by complex division
sucddecon DECONvolution with user-supplied filter by straightforward Complex Division in the frequency domain

Minimum Phase (Wiener) Decon

Wiener filtering
supef Wiener predictive error filtering
suphidecon PHase Inversion Deconvolution

FX Decon

FX decon
sufxdecon random noise attenuation by FX-DECONvolution

Wavelet Shaping

sushape Wiener shaping filter

Stretching, Moveouot, Interpolation, Mixing, Resampling, Tapering

Log Stretch

Forward and Inverse Log Streatch
sulog time axis log-stretch of seismic traces
suilog time axis inverse log-stretch of seismic traces

T squared and Velocity Reduction

sutsq time axis time-squared stretch of seismic traces
sureduce convert traces to display in reduced time


Trace Interpolation and Extrapolation

Trace Interpolation

Trace interpolation
suinterp interpolate traces using automatic event picking
suinterpfowler interpolate output image from constant velocity panels built by SUTIFOWLER or CVS

Extrapolation

Smaller Offset Extrapolation
suocext smaller Offset EXTrapolation via Offset Continuation method for common-offset gathers


Trace Mixing

Trace mixing
sumix compute weighted moving average (trace MIX) on a panel of seismic data
sumixgathers mix two gathers

Resampling

Resampling
suresamp Resample in time
sucentsamp CENTRoid SAMPle seismic traces

Tapering

Tapering
sutaper Taper the edge traces of a data panel to zero
sutxtaper Taper in (X,T) the edges of a data panel to zero
suramp Linearly taper the start and/or end of traces to zero

Filtering

One-dimensional filtering

Band Pass

Bandpass (polygonal)
suband Trapezoid-like Sin squared tapered Bandpass filter via SUFILTER
Bandpass (Butterworth)
subfilt apply Butterworth bandpass filter

=== High Pass, Low Pass, Band --- Pass and Reject

High Pass, Low Pass, Band Pass
sufilter applies a zero-phase, sine-squared tapered filter


Time Varying

Time varying bandpass
sutvband time-variant bandpass filter (sine-squared taper)

Fractional Derivatives and Integrals

Fractional derivatives and integrals (in time) of seismic traces
sufrac take general (fractional) time derivative or integral of data, plus a phase shift. Input is TIME DOMAIN data


Two-dimensional filtering

Dip Filtering

Dip (slope) Filter
sudipfilt DIP--or better--SLOPE Filter in f-k domain

K1 - K2 domain

K1-K2 filter (rectangular)
suk1k2filter symmetric box-like K-domain filter defined by the cartesian product of two sin^2-tapered polygonal filters defined in k1 and k2
Circular
sukfilter radially symmetric K-domain, sin^2-tapered, polygonal filter

Fractional 2D Derivatives and Integrals

Fractional 2D derivatives
sukfrac apply FRACtional powers of i|k| to data, with phase shift


Median

Median
sumedian MEDIAN filter about a user-defined polygonal curve with the distance along the curve specified by key header word

Muting

Muting
sumute mute above (or below) a user-defined polygonal curve with the distance along the curve specified by key header word


NMO and Stack

Normal Moveout

sunmo NMO for an arbitrary velocity function of time and CDP

Stacking

Standard Stacking

sustack stack adjacent traces having the same key header word

Phase Weighted Stack

supws Phase stack or phase-weighted stack (PWS) of adjacent traces having the same key header word

Dip Moveout

FK

Standard (Log Stretch)

sudmofk DMO via F-K domain (log-stretch) method for common-offset gathers

Converted Wave (Log Stretch)

sudmofkcw converted-wave DMO via F-K domain (log-stretch) method for common-offset gathers

Kirchhoff (T-X) domain

sudmotx DMO via T-X domain (Kirchhoff) method for common-offset gathers
sudmovz DMO for V(Z) media for common-offset gathers

= Transversely Isotropic media

sudmotivz DMO for Transeversely Isotropic V(Z) media for common-offset gathers


Hale DMO

Transversely Isotropic media

sutihaledmo TI Hale Dip MoveOut (based on Hale's PhD thesis)

Migration and Inversion ("Inversion" here means Amplitude Preserving Migration)

Post Stack Migration

F,K (Stolt) v(t) migration

sustolt Stolt migration for stacked data or common-offset gathers

Gazdag, Phase shift

Gazdag with Q
sugazmig SU version of Jeno GAZDAG's phase-shift migration for zero-offset data, with attenuation Q.

Phase shift with turning rays

Phase shift with turning rays
sumigps MIGration by Phase Shift with turning rays


Phase Shift Plus Interpolation (PSPI)

PSPI migration
sumigpspi Gazdag's phase-shift plus interpolation depth migration for zero-offset data, which can handle the lateral velocity variation.

Split Step

Split Step
sumigsplit Spit-Step Migration

Finite Difference

Finite Difference
sumigfd 45-90 degree Finite difference depth migration for zero-offset data.
Fourier Finite Difference
sumigffd Fourier finite difference depth migration for zero-offset data. This method is a hybrid migration which combines the advantages of phase shift and finite difference migrations.


Gaussian Beam

Gaussian Beam
sumiggbzo MIGration via Gaussian Beams of Zero-Offset SU data

T,K

T-K domain
sumigtk MIGration via T-K domain method for common-midpoint stacked data



Anisotropic

Gaussian Beam

sumiggbzo
sumiggbzoan MIGration via Gaussian beams ANisotropic media (P-wave)

=== TI media, Phase Shift, Turning Rays

sumigpsti MIGration by Phase Shift for TI media with turning rays

'

PreStack Migration

Finite Difference

sumigprefd The 2-D prestack common-shot 45-90 degree finite-difference depth migration.

Fourier Finite Difference

sumigpreffd The 2-D prestack common-shot Fourier finite-difference depth migration.

Phase Shift Plus Interpolation

sumigpreffd The 2-D PREstack commom-shot Phase-Shift-Plus interpolation depth MIGration.

Split Step

sumigpresp The 2-D prestack common-shot split-step Fourier migration

VTI media Constant Velocity

sutifowler VTI constant velocity prestack time migration velocity analysis via Fowler's method

Kirchhoff

Depth

Depth
sukdmig2d Kirchhoff Depth Migration of 2D poststack/prestack data

= Time

Time
suktmig2d prestack time migration of a common-offset section with the double-square root (DSR) operator


Transforms

Fourier

1D

Computes amplitude, phase, real part, or imaginary part from complex data
suamp output amp, phase, real or imag trace from domain data
sufft fft real time traces to complex frequency traces
suifft fft complex frequency traces to real time traces
suspecfx Fourier SPECtrum (T -> F) of traces


2D

suspecfk F-K Fourier SPECtrum of data set
suspecfx Fourier SPECtrum (T -> F) of traces
suspeck1k2 2D (K1,K2) Fourier SPECtrum of (x1,x2) data set

Hilbert Transform

Hilbert transform
suhilb Hilbert transform

Radon Transform

Radon
suradon compute forward or reverse Radon transform or remove multiples by using the parabolic Radon transform to estimate multiples and subtract
sutaup forward and inverse T-X and F-K global slant stacks
suharlan signal-noise separation by the invertible linear transformation method of Harlan

Gabor Transform

Gabor
sugabor Outputs a time-frequency representation of seismic data via the Gabor transform-like multifilter analysis technique


Group and Phase Velocity Dispersion Analysis

Group Velocity via the Gabor Transform

Gabor
sugabor Outputs a time-frequency representation of seismic data via the Gabor transform-like multifilter analysis technique

Phase Velocity via F-K transform

Phase velocity dispersion
suphasevel Multi-mode PHASE VELocity dispersion map computed from shot record(s)



Multicomponent

Polarization analysis
supolar POLarization analysis of three-component data
Polarization filters
supofilt POlarization FILTer for three-component data
sueipofi Eigenimage (SVD) based POlarization Folter for three-component data
Rotation
suhrot Horizontal ROTation of three-component data



Refraction

grm Generalized Reciprocal refraction analysis for a single layer
surefcon Convolution of user-supplied Forward and Reverse refraction shots using XY trace offset in reverse shot


Synthetics and Data Generation=

Test Pattern and simple data sets

suplane create simple set of seismic events
suimp2d create a 2D line scatter model
susynlv create synthetic for V = V0 + K*z medium
susynvxz create synthetic for V(X,Z) media

Well log operations

Backus Averaging

Parameter extraction from well logs by Backus averaging
subackus calculate Thomsen anisotropy parameters from well log (Vp,Vs,ρ) data via BACKUS averaging
subackush calculate Thomsen anisotropy parameters from well log (Vp,Vs,ρ) data and optionally include intrinsic VTI shale layers based on gamma ray log via BACKUS averaging
sulprime find appropriate Backus average length for a given log suite, frequency, and purpose

Synthetics from Well logs

suwellrf convert WELL log depth, velocity, density data into a uniformly sampled normal incidence Reflectivity Function of time

Statics

== Add Static Shifts (for testing)

suaddstatics ADD random STATICS on seismic data
surandstat Add RANDom time shifts STATIC errors to seismic traces

== Surface Consistent Source and Receiver Statics

suresstat Surface consistent source and receiver statics calculation

Apply Static Corrections

sustatic Elevation static corrections, apply corrections from headers or from a source and receiver statics file
sustaticrrs Elevation STATIC corrections, apply corrections from headers or from a source and receiver statics file, includes application of Residual Refraction Statics'


Data Compression

Discrete Cosine Transform
dctcomp Compression by Discrete Cosine Transform
dctuncomp Discrete Cosine Transform Uncompression
Packing
supack1 Pack segy trace data into chars
suunpack1 Unpack segy trace data from chars to floats
supack2 Pack segy trace data into 2 byte shorts
suunpack2 Unpack segy trace data from shorts to floats
Wavelet Transforms
wpc1comp2 Compress a 2D seismic section trace-by-trace using Wavelet Packets
wpc1uncomp2 Uncompress a 2D seismic section, which has been compressed using Wavelet Packets
wpccompress Compress a 2D section using Wavelet Packets
wpcuncompress Uncompress a 2D section
wptcomp Compression by Wavelet Packet Compression
wptuncomp Uncompress WPT compressed data
wtcomp Compression by Wavelet Transform
wtuncomp Uncompression of WT compressed data
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