Nonrecursive Wiener filter design

Technical Report · Mon Oct 01 00:00:00 EDT 1979

OSTI ID:5810092

Stearns, S D

This is a tutorial report on the design of nonrecursive filters using the least-mean-squared (LMS) error criterion. A version of Levinson's algorithm for solving the LMS equations is described. The emphasis is on applying LMS-design theory to cases such as system identification, noise cancellation, prediction, inverse filtering, and deconvolution. Examples are included. 8 figures.

• Research Organization: Sandia Labs., Albuquerque, NM (USA)
• DOE Contract Number: EY-76-C-04-0789
• OSTI ID: 5810092
• Report Number(s): SAND-79-1319
• Country of Publication: United States
• Language: English

Related Subjects

58 GEOSCIENCES
580203 -- Geophysics-- Geophysical Survey Methods-- (1980-1989)
99 GENERAL AND MISCELLANEOUS
990200* -- Mathematics & Computers
ALGORITHMS
COMPUTER CODES
CORRELATION FUNCTIONS
DATA
DATA FORMS
DATA PROCESSING
DESIGN
DIGITAL FILTERS
FORTRAN
FUNCTIONS
GRAPHS
INFORMATION
L CODES
LEAST SQUARE FIT
MATHEMATICAL LOGIC
MAXIMUM-LIKELIHOOD FIT
MEASURING INSTRUMENTS
NUMERICAL DATA
NUMERICAL SOLUTION
PROCESSING
PROGRAMMING LANGUAGES
RESPONSE FUNCTIONS
SEISMIC ARRAYS
SEISMIC DETECTORS
SEISMIC WAVES
SEISMOGRAPHS
THEORETICAL DATA