IEEE Transactions on Information Theory
Optimum performance levels for minimax filters, predictors and smoothers
Systems & Control Letters
Adaptive filter theory (2nd ed.)
Adaptive filter theory (2nd ed.)
Signal Processing
Networked H∞ control of linear systems with state quantization
Information Sciences: an International Journal
On linear H∞ equalization of communicationchannels
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Deconvolution filter design via l1 optimizationtechnique
IEEE Transactions on Signal Processing
IEEE Transactions on Fuzzy Systems
On the value of information in system identification-Bounded noise case
Automatica (Journal of IFAC)
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This paper proposes a method of perfectly recovering MPSK-type (multiple phase-shift keying) modulus input signals against component-wise norm-bounded disturbances via an induced ~-norm finite impulse response (FIR) filter. The induced ~-norm criterion maintains the distance between the input signals and the estimated signals within a given bound for perfectly recovering the input signals, and the FIR structure makes the system robust against temporary uncertainties or disturbances. The induced ~-norm FIR filter is designed through solving linear matrix inequalities (LMIs) iteratively. Examples of the application to equalizers show that the induced ~-norm FIR filter guarantees the perfect recovery of the MPSK-type modulus input signals.