Asymptotic Properties of a One-bit Estimator of Parametric Signals Article Swipe
Paolo Carbone
,
Alessio De Angelis
,
Antonio Moschitta
,
Francesco Santoni
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.36227/techrxiv.22651516
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.36227/techrxiv.22651516
This paper considers an estimator of the parameters in a linear-in-the-parameter signal, based on its binary quantization. It shows an analysis of the systematic errors for growing lengths of the data set. It also shows how to express the cost function, when the minimum is reached. Zero-mean additive noise is assumed in the model, having independent outcomes. Furthermore, a method is introduced to validate the estimation process. Monte Carlo results validate the proposed analyses.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.36227/techrxiv.22651516
- OA Status
- gold
- References
- 17
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4366984700
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4366984700Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.36227/techrxiv.22651516Digital Object Identifier
- Title
-
Asymptotic Properties of a One-bit Estimator of Parametric SignalsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-04-25Full publication date if available
- Authors
-
Paolo Carbone, Alessio De Angelis, Antonio Moschitta, Francesco SantoniList of authors in order
- Landing page
-
https://doi.org/10.36227/techrxiv.22651516Publisher landing page
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://doi.org/10.36227/techrxiv.22651516Direct OA link when available
- Concepts
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Estimator, Monte Carlo method, Parametric statistics, Mathematics, Algorithm, Binary number, Quantization (signal processing), Applied mathematics, Parametric model, Function (biology), Statistics, Computer science, Biology, Evolutionary biology, ArithmeticTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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17Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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