Jon Claerbout's Classroom
This page is dedicated to the memory of my lost son (Johannes) Jos Claerbout 1974-99.
Free books ! Free lectures ! Free illustrations too !
I give you (since 1994) my books free on the WWW here and now in the table below. Why publish to make money when you can publish to make friends?
DATA FITTING WITH NONSTATIONARY STATISTICS , 2019, coil bound, 60 pages, Paper cover
Enjoy Marmousi comparison.
3 mins Anaheim
19 mins Houston
38 minute synopsis
the best one
Buy from manufacturer ~$6.10
GEOPHYSICAL IMAGE ESTIMATION BY EXAMPLE [GIEE (formerly GEE)], 2014, Puffs!
Two versions available:
(1) Free PDF or buy paper version, 251pp, 119 illustrations, and
(2) 2012 version retaining some nice concepts never tested on field data.
The F90 library. See my new paper cover!
here Buy from manufacturer ~$16.56
BASIC EARTH IMAGING (BEI), 2010, We carry a raw 2-D seismic data set through all steps of data processing with (almost) all the computer code (F77) required. Taught annually in fall quarter. Code library. Model(200,200) on page 67, Fig 5.7a. here 2-D FT only here no EARTH SOUNDINGS ANALYSIS: Processing versus Inversion (PVI), 1992. Signal analysis. Introduction to inversion. here
maybe some day
here no IMAGING THE EARTH'S INTERIOR (IEI), 1985. My most widely quoted book, 300 pages, out of print, but here now! English,
not yet here no FUNDAMENTALS OF GEOPHYSICAL DATA PROCESSING (FGDP) 1976. Some people say this book, my first one, is the most creative (though the most difficult). Here's the 1973 Claerbout and Muir L1-norm paper. English ,
All 982 figures in all my books (since 1976!) are here. Free figures to paste in your slides, term papers, reports, and theses. Enjoy! Be careful though. I don't mind, but your teachers, colleagues, and friends, might not think well of you if they discover you have not given proper credit. You can also learn of the 32 people who helped (before 2008).
Free advice for careers, for speakers, and for writers.
Free software ! Free seismic data elsewhere.
- Learn about or download Ratfor 90 (improved Fortran) free from its author, Bob Clapp.
- Unpack and compile your own Ratfor77 (Rational Fortran) translator. We don't support this anymore. It is the last version we did support.
Scholarships and Fellowships !SEP has funding (research assistantships) for all students who are admitted to the Stanford University Geophysics Department PhD program. These stipends cover reasonable living expenses (about $2500/month) and all university fees. You need to take international exams (GRE and TOEFL) etc. Here is why and how to apply. More questions? Send email to Professor Claerbout: claerbout @ stanford.edu
Summer Jobs and CareersOf 14 current PhD students (summer 2012), all are welcome to remain here at 180% of academic-year monthly stipends, but 9 have left for summer jobs paying about 220% of academic-year monthly stipends. Of about 60 PhD graduates since 1973, none are known to be unemployed, nearly all working in the general area they were trained in.
The natural world
- Who is killing the porpoises and whales?
- Coral bleaching, and un-bleaching?!
- Isn't carbon dioxide ruining the planet?
My late-life updates
- NSDF leads to Convolutional Neural Networks
- While I was writing NSDF I was in hopes of engaging some student in expanding some of the many concepts there to convolutional neural networks. I've had no luck. If they want for good projects to work on, this seems to me like a great place to begin.
- Simon Spitz for signal and noise separation
- When I went to print GIEE I adopted the self-discipline that ideas without examples would be omitted. Unfortunately, that meant some losses, particularly the idea I attribute to Simon Spitz on page 264 of the 2012 version of GIEE. Have a look, it's amazing stuff. I'd like to see it embedded in the nonstationary world of NSDF. Ray Abma published some stuff. Antoine Guitton too. I downloaded all Spitz papers and didn't see a clear relation to what I'm calling his method! I suspect Dave Nichols has influenced my thinking. Joseph Jennings is interested.
- Rise-time of causal functions
- In FGDP on pages 67-69 I had a proof of the uncertainty principle dt*df >1 specialized to causal functions. I wanted dt to focus on the rise-time of a causal signal and so I defined it to be the inverse of the moment of 1/t which, as you know, has an interesting FT. The final step depended on believing that the width of a wavelet must be greater than the width of its autocorrelation. It seems to say that a causal signal cannot rise faster than sqrt(t). Fascinating! Unfortunately, the proof was not as clear to others as it seemed to me at the time I wrote it. The press of imaging projects kept me from cleaning it up while I was writing PVI and IEE. Rise-time has to be a central focus in the design of many circuits. A strong theory should be out there already somewhere. I've always hoped to find someone interested in a fundamental issue like this to help me clear my thoughts.
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