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The past, present, and the future of underwater acoustic signal processing
RJ Vaccaro - IEEE Signal Processing Magazine, 1998 - ieeexplore.ieee.org
This is a collection of articles written by members of the Underwater Acoustic Signal
Processing (UASP) Technical Committee. The first article, by DW Tufts, deals with the history …
Processing (UASP) Technical Committee. The first article, by DW Tufts, deals with the history …
Effects of sampling and quantization on single-tone frequency estimation
A Host-Madsen, P Handel - IEEE Transactions on Signal …, 2000 - ieeexplore.ieee.org
The effects of sampling and quantization on frequency estimation for a single sinusoid are
investigated. The Cramer-Rao bound for 1-bit quantization is derived and compared with the …
investigated. The Cramer-Rao bound for 1-bit quantization is derived and compared with the …
Stochastic waveform estimation at the fundamental quantum limit
Although measuring the deterministic waveform of a weak classical force is a well-studied
problem, estimating a random waveform, such as the spectral density of a stochastic signal …
problem, estimating a random waveform, such as the spectral density of a stochastic signal …
Hierarchies of frequentist bounds for quantum metrology: From Cramér-Rao to Barankin
We derive lower bounds on the variance of estimators in quantum metrology by choosing
test observables that define constraints on the unbiasedness of the estimator. The quantum …
test observables that define constraints on the unbiasedness of the estimator. The quantum …
A fresh look at the Bayesian bounds of the Weiss-Weinstein family
A Renaux, P Forster, P Larzabal… - IEEE Transactions …, 2008 - ieeexplore.ieee.org
Minimal bounds on the mean square error (MSE) are generally used in order to predict the
best achievable performance of an estimator for a given observation model. In this paper, we …
best achievable performance of an estimator for a given observation model. In this paper, we …
Fast and efficient estimation of frequencies
A Serbes - IEEE Transactions on Communications, 2021 - ieeexplore.ieee.org
Parameter estimation of multiple sinusoids is one of the fundamental problems of signal
processing having numerous application areas, including wireless communications and …
processing having numerous application areas, including wireless communications and …
A new Barankin bound approximation for the prediction of the threshold region performance of maximum likelihood estimators
E Chaumette, J Galy, A Quinlan… - IEEE Transactions on …, 2008 - ieeexplore.ieee.org
It is well known that the ML estimator exhibits a threshold effect, ie, a rapid deterioration of
estimation accuracy below a certain signal-to-noise ratio (SNR) or number of snapshots …
estimation accuracy below a certain signal-to-noise ratio (SNR) or number of snapshots …
General classes of performance lower bounds for parameter estimation—Part I: Non-Bayesian bounds for unbiased estimators
K Todros, J Tabrikian - IEEE Transactions on Information …, 2010 - ieeexplore.ieee.org
In this paper, a new class of lower bounds on the mean square error (MSE) of unbiased
estimators of deterministic parameters is proposed. Derivation of the proposed class is …
estimators of deterministic parameters is proposed. Derivation of the proposed class is …
Fast and Efficient 2-D and -D DFT-Based Sinusoidal Frequency Estimation
V Solak, S Aldirmaz-Colak… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Frequency estimation of a 2-D complex sinusoid under white Gaussian noise is a significant
problem having a wide range of applications from signal processing, radar/sonar to wireless …
problem having a wide range of applications from signal processing, radar/sonar to wireless …
Threshold performance analysis of maximum likelihood DOA estimation
P Forster, P Larzabal, E Boyer - IEEE Transactions on Signal …, 2004 - ieeexplore.ieee.org
The purpose of this paper is to investigate the nonasymptotic behavior of the maximum
likelihood method in the context of lacunar array processing. We derive an analytical …
likelihood method in the context of lacunar array processing. We derive an analytical …