The objective of this correspondence is to design a fixed-order H2 optimal inverse filter of a given periodic FIR digital filter for signal reconstruction in the presence of measurement noise. The problem is converted to time invariant H2 optimization by applying the lifting technique for periodic filters and solved using the linear matrix inequality (LMI) approach
In this paper the sampled signal reconstruction problem is formulated and solved as the sampled-data...
An important issue with oversampled FIR analysis filter banks (FBs) is to determine inverse synthesi...
The standard H/sub 2/ optimal filtering problem considers the estimation of a certain output based o...
Abstract—We propose a method for constructing optimal causal approximate inverse for discrete-time s...
The deconvolution problem is to design a deconvolution filter that reconstructs a signal from the no...
FIR compensator design for H2-optimal decoupling of measurable or previewed signals in discrete-time...
Wide used method of digital filters design consists in transformation of analog filter-prototype wit...
This paper is concerned with the optimal model reduction for linear discrete periodic time-varying s...
In this paper, the inputs are considered to be of two types. The first type of input, as in standard...
International audienceAn important issue with oversampled FIR analysis filter banks (FBs) is to dete...
The problem of statistically optimal reconstruction of a signal based on its arbitrary linear projec...
The deconvolution problem is to design a deconvolution filter to reconstruct a signal from the measu...
We derive a novel algorithm for linear (discrete-time) system inversion with decision delay and freq...
The standard $H_2$ optimal filtering problem considers the estimation of a certain output based on t...
Practical applications in signals and systems often deal with lifted models of periodic digital filt...
In this paper the sampled signal reconstruction problem is formulated and solved as the sampled-data...
An important issue with oversampled FIR analysis filter banks (FBs) is to determine inverse synthesi...
The standard H/sub 2/ optimal filtering problem considers the estimation of a certain output based o...
Abstract—We propose a method for constructing optimal causal approximate inverse for discrete-time s...
The deconvolution problem is to design a deconvolution filter that reconstructs a signal from the no...
FIR compensator design for H2-optimal decoupling of measurable or previewed signals in discrete-time...
Wide used method of digital filters design consists in transformation of analog filter-prototype wit...
This paper is concerned with the optimal model reduction for linear discrete periodic time-varying s...
In this paper, the inputs are considered to be of two types. The first type of input, as in standard...
International audienceAn important issue with oversampled FIR analysis filter banks (FBs) is to dete...
The problem of statistically optimal reconstruction of a signal based on its arbitrary linear projec...
The deconvolution problem is to design a deconvolution filter to reconstruct a signal from the measu...
We derive a novel algorithm for linear (discrete-time) system inversion with decision delay and freq...
The standard $H_2$ optimal filtering problem considers the estimation of a certain output based on t...
Practical applications in signals and systems often deal with lifted models of periodic digital filt...
In this paper the sampled signal reconstruction problem is formulated and solved as the sampled-data...
An important issue with oversampled FIR analysis filter banks (FBs) is to determine inverse synthesi...
The standard H/sub 2/ optimal filtering problem considers the estimation of a certain output based o...
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