Title :
Norm variance of minimax interpolation
Author :
Willis, N. Parker ; Bresler, Yoram
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
fDate :
5/1/1992 12:00:00 AM
Abstract :
Minimax-optimal interpolation algorithms minimize the error resulting from the worst signal from an allowable class. The result is presented that if this class lies in a Hilbert space, the minimax-optimal algorithm is independent of or invariant to the error norm. The result encompasses a broad class of inverse problems
Keywords :
error analysis; information theory; interpolation; inverse problems; minimax techniques; signal processing; Hilbert space; bandlimited signals; error norm; inverse problems; minimax interpolation; minimax-optimal algorithm; norm variance; signal analysis; Frequency; Hilbert space; Interpolation; Inverse problems; Minimax techniques; Minimization methods; Particle measurements; Sampling methods; Speech processing; Sufficient conditions;
Journal_Title :
Information Theory, IEEE Transactions on
