DocumentCode
877362
Title
Error analysis with deconvolution algorithms
Author
Crilly, P.B.
Author_Institution
Dept. of Electr. & Comput. Eng., Tennessee Univ., Knoxville, TN
Volume
42
Issue
1
fYear
1993
fDate
2/1/1993 12:00:00 AM
Firstpage
78
Abstract
Iterative deconvolution algorithms can be used to obtain an estimate of a signal that has been distorted by an impulse response function and corrupted by additive noise. The decision to continue iterating is usually based on some minimum error or convergence rate criterion being satisfied. However, in some classes of systems, there are pitfalls with respect to the error calculation that must be understood. One of these pitfalls is examined
Keywords
error analysis; iterative methods; signal detection; signal processing; convergence rate criterion; deconvolution algorithms; error analysis; impulse response function; iterative algorithm; Additive noise; Computer errors; Convergence; Deconvolution; Distortion; Equations; Error analysis; Iterative algorithms; Signal processing; Spectroscopy;
fLanguage
English
Journal_Title
Instrumentation and Measurement, IEEE Transactions on
Publisher
ieee
ISSN
0018-9456
Type
jour
DOI
10.1109/19.206690
Filename
206690
Link To Document