Digital, realizable Wiener filtering in two-dimensions
Conference
·
OSTI ID:6208434
The extension of Wiener's classical mean-square filtering theory to the estimation of two-dimensional (2-D), discrete random fields is discussed. In analogy with the 1-D case, the optimal realizable filter is derived by solution of a 2-D discrete Wiener--Hopf equation using a spectral factorization procedure. Computational algorithms for performing the required calculations are discussed. 3 figures.
- Research Organization:
- California Univ., Livermore (USA). Lawrence Livermore Lab.
- DOE Contract Number:
- W-7405-ENG-48
- OSTI ID:
- 6208434
- Report Number(s):
- UCRL-82504; CONF-790719-1
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
99 GENERAL AND MISCELLANEOUS
990200* -- Mathematics & Computers
ALGORITHMS
ASTRONOMY
BIOMEDICAL RADIOGRAPHY
DATA PROCESSING
DIAGNOSTIC TECHNIQUES
DIGITAL FILTERS
EARTH ATMOSPHERE
IMAGE PROCESSING
MATHEMATICAL LOGIC
MEDICINE
NUCLEAR MEDICINE
PROCESSING
RADIOLOGY
SIGNALS
TWO-DIMENSIONAL CALCULATIONS
990200* -- Mathematics & Computers
ALGORITHMS
ASTRONOMY
BIOMEDICAL RADIOGRAPHY
DATA PROCESSING
DIAGNOSTIC TECHNIQUES
DIGITAL FILTERS
EARTH ATMOSPHERE
IMAGE PROCESSING
MATHEMATICAL LOGIC
MEDICINE
NUCLEAR MEDICINE
PROCESSING
RADIOLOGY
SIGNALS
TWO-DIMENSIONAL CALCULATIONS