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- Behtash Babadi, Nicholas Kalouptsidis, Vahid Tarokh
- IEEE Transactions on Signal Processing
- 2010

We develop a recursive L<sub>1</sub>-regularized least squares (SPARLS) algorithm for the estimation of a sparse tap-weight vector in the adaptive filtering setting. The SPARLS algorithm exploits… (More)

We consider a model of the form , where is sparse with at most nonzero coefficients in unknown locations, is the observation vector, is the measurement matrix and is the Gaussian noise. We develop a… (More)

- Tuvi Etzion, Nicholas Kalouptsidis, Nicholas Kolokotronis, Konstantinos Limniotis, Kenneth G. Paterson
- IEEE Transactions on Information Theory
- 2009

This paper studies the error linear complexity spectrum of binary sequences with period <i>2n</i>. A precise categorization of those sequences having two distinct critical points in their spectra, as… (More)

- Gerasimos Mileounis, Behtash Babadi, Nicholas Kalouptsidis, Vahid Tarokh
- IEEE Transactions on Signal Processing
- 2010

Greedy algorithms form an essential tool for compressed sensing. However, their inherent batch mode discourages their use in time-varying environments due to significant complexity and storage… (More)

- George-Othon Glentis, Panos Koukoulas, Nicholas Kalouptsidis
- IEEE Trans. Signal Processing
- 1999

- Panos Koukoulas, Nicholas Kalouptsidis
- IEEE Trans. Signal Processing
- 1995

- Nicholas Kalouptsidis, Panos Koukoulas
- IEEE Transactions on Signal Processing
- 2005

This paper is concerned with the blind identification of Volterra-Hammerstein systems. Two identification scenarios are covered. The first scenario assumes that, although the input is not available,… (More)

- George-Othon Glentis, Nicholas Kalouptsidis
- Signal Processing
- 1995

In this paper a highly modular adaptive lattice algorithm for multichannel least squares FIR filtering and multivariable system identification is presented. Multichannel filters with different number… (More)

- Alexandros Katsiotis, Panagiotis Rizomiliotis, Nicholas Kalouptsidis
- IEEE Transactions on Communications
- 2012

In this study, a method is presented for constructing convolutional codes of variable rate and decoding complexity. Starting with an (n,1,m) mother code, the techniques of puncturing and path pruning… (More)

- Kostis Xenoulis, Nicholas Kalouptsidis
- IEEE Transactions on Information Theory
- 2011

Random coding theorems and achievable rates for nonlinear additive noise channels are presented. Modeling the channel's nonlinear behavior as a causal, stationary Volterra system, upper bounds on the… (More)