Article View: comp.dsp
Article #2122books
From: Jeff McAffer
Date: Tue, 26 Jan 1993 09:53
Date: Tue, 26 Jan 1993 09:53
28 lines
1764 bytes
1764 bytes
A while ago I posted looking for DSP books. Thanks to everyone who
responded. I've checked out a few of them and discovered that, while
they are useful, I may have expressed my main requirements
incorrectly.
I'm looking for books on signal processing applications (I guess?).
That is, I have a bunch of abstract data which I would like to treat
as a signal and apply various SP techniques. The problem is that I
know relatively little about the properties of these algorithms. Thus
I don't really know what is possible, desireable, easy, hard, ...
Ideally, I would find a book which had hands-on descriptions like "If
you have data like this, you can use these N techniques to get X
effects." From what I've learned so far, things like filtering,
correlation, spectral analysis (FFT) and adaptive processing in
general are of interest in my domain.
I am not conducting SP research but rather would like to be a user of
SP. The math behind it all is a bit off the topic for me but of
course, I'll try and learn what's necessary.
Thanks alot again.
--
ato de, |m -- "Throughout my life I have sought peace and quiet"
- Ted Nuggent
Technical Details
Message-ID:
<1993Jan26.95338.11821@kei.is.s.u-tokyo.ac.jp>Path:
arc1-ca.pugleaf.net!sparky!uunet!cs.utexas.edu!sun-barr!sh.wide!wnoc-tyo-news!news.u-tokyo.ac.jp!s.u-tokyo!is.s.u-tokyo!jeffShow Full Headers
Complete Article Headers
Newsgroups: comp.dsp Path: arc1-ca.pugleaf.net!sparky!uunet!cs.utexas.edu!sun-barr!sh.wide!wnoc-tyo-news!news.u-tokyo.ac.jp!s.u-tokyo!is.s.u-tokyo!jeff From: jeff@is.s.u-tokyo.ac.jp (Jeff McAffer) Subject: books Nntp-Posting-Host: water Message-ID: <1993Jan26.95338.11821@kei.is.s.u-tokyo.ac.jp> Reply-To: jeff@is.s.u-tokyo.ac.jp Organization: University of Tokyo / Object Technology International Sender: news@kei.is.s.u-tokyo.ac.jp (Usenet News System) Date: Tue, 26 Jan 1993 09:53:30 GMT Distribution: comp X-Bytes: 1207 Lines: 29