Title :
Error analysis with deconvolution algorithms
Author_Institution :
Dept. of Electr. & Comput. Eng., Tennessee Univ., Knoxville, TN
fDate :
2/1/1993 12:00:00 AM
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;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
