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mirror of https://git.FreeBSD.org/ports.git synced 2024-10-18 19:49:40 +00:00

Initial import of xwpl 1.3

XWPL is an X based tool to examine one-dimensional real-valued signals using
wavelets and wavelet packets.  It has been designed to be as easy to use as
possible for beginners.  It is intended more as an educational and exploratory
tool than as a numerical analysis program, even though it uses fast, optimized
wavelet and wavelet packet transforms.

PR:		ports/5312
Submitted by:	giffunip@asme.org
This commit is contained in:
Justin M. Seger 1998-12-19 14:22:10 +00:00
parent 47c3eeb86f
commit 6738b1bd1b
Notes: svn2git 2021-03-31 03:12:20 +00:00
svn path=/head/; revision=15427
5 changed files with 81 additions and 0 deletions

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# New ports collection makefile for: xwpl
# Version required: 1.3
# Date created: 31 Nov 97
# Whom: Pedro Giffuni <giffunip@asme.org>
#
# $Id$
#
DISTNAME= xwpl-1.3-freebsd
PKGNAME= xwpl-1.3
CATEGORIES= math
MASTER_SITES= ftp://pascal.math.yale.edu/pub/wavelets/software/xwpl/
MAINTAINER= giffunip@asme.org
NO_CDROM= "Free for Non-Commercial Use Only"
NO_BUILD= yes
WRKSRC= ${WRKDIR}/xwpl
STRIP=
MAN1= xwpl.1
do-install:
${INSTALL_PROGRAM} $(WRKSRC)/xwpl $(PREFIX)/bin
${INSTALL_MAN} ${WRKSRC}/xwpl.man ${PREFIX}/man/man1/xwpl.1
post-install:
${MKDIR} $(PREFIX)/share/examples/xwpl
${INSTALL_DATA} ${WRKSRC}/data/* $(PREFIX)/share/examples/xwpl
.if !defined(NOPORTDOCS)
${MKDIR} $(PREFIX)/share/doc/xwpl
${INSTALL_DATA} ${WRKSRC}/*.ps $(PREFIX)/share/doc/xwpl
${INSTALL_DATA} ${WRKSRC}/README $(PREFIX)/share/doc/xwpl
.endif
.include <bsd.port.mk>

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MD5 (xwpl-1.3-freebsd.tar.gz) = 98f438ace0f44f707ab8691d42834a08

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the X Wavelet Packet Laboratory

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XWPL is an X based tool to examine one-dimensional real-valued signals using
wavelets and wavelet packets. It has been designed to be as easy to use as
possible for beginners. It is intended more as an educational and exploratory
tool than as a numerical analysis program, even though it uses fast, optimized
wavelet and wavelet packet transforms.
In short, wavelets are a way to analyze a signal using base functions which
are localized both in time (as diracs, but unlike sine waves), and in
frequency (as sine waves, but unlike diracs). They can be used for efficient
numerical algorithms and many DSP or compression applications.
The mathematical theory behind wavelets (and other related transforms) is
given in the appendix of the XWPL reference manual.

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bin/xwpl
share/examples/xwpl/bomb.asc
share/examples/xwpl/car_seg.asc
share/examples/xwpl/caruso.asc
share/examples/xwpl/chirp256.asc
share/examples/xwpl/d.asc
share/examples/xwpl/f+r.asc
share/examples/xwpl/fort.asc
share/examples/xwpl/fort_seg.asc
share/examples/xwpl/linchirp.asc
share/examples/xwpl/line.asc
share/examples/xwpl/long.asc
share/examples/xwpl/ping.asc
share/examples/xwpl/quadchrp.asc
share/examples/xwpl/r.asc
share/examples/xwpl/s+100d.asc
share/examples/xwpl/s+d.asc
share/examples/xwpl/s+r.asc
share/examples/xwpl/s.asc
share/examples/xwpl/sgnr.asc
share/examples/xwpl/spike.asc
share/examples/xwpl/sxexpr.asc
share/examples/xwpl/transien.asc
share/examples/xwpl/twochrp1.asc
share/examples/xwpl/twochrp2.asc
share/examples/xwpl/zero.asc
share/doc/xwpl/manual.ps
share/doc/xwpl/README
@dirrm share/examples/xwpl
@dirrm share/doc/xwpl