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2012 Information Theory and Applications Workshop
| 2012 Information Theory and Applications Workshop |
| Pubbl/distr/stampa | [Place of publication not identified], : IEEE, 2012 |
| Descrizione fisica | 1 online resource (427 pages) |
| Disciplina | 003.54 |
| Soggetto topico |
Information theory
Information theory - Statistical methods |
| ISBN | 1-4673-1472-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996210248203316 |
| [Place of publication not identified], : IEEE, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
2012 Information Theory and Applications Workshop
| 2012 Information Theory and Applications Workshop |
| Pubbl/distr/stampa | [Place of publication not identified], : IEEE, 2012 |
| Descrizione fisica | 1 online resource (427 pages) |
| Disciplina | 003.54 |
| Soggetto topico |
Information theory
Information theory - Statistical methods |
| ISBN | 1-4673-1472-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910130681803321 |
| [Place of publication not identified], : IEEE, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Information theory and the central limit theorem [[electronic resource] /] / Oliver Johnson
| Information theory and the central limit theorem [[electronic resource] /] / Oliver Johnson |
| Autore | Johnson Oliver (Oliver Thomas) |
| Pubbl/distr/stampa | London, : Imperial College Press |
| Descrizione fisica | 1 online resource (224 p.) |
| Disciplina | 519.2 |
| Soggetto topico |
Central limit theorem
Information theory - Statistical methods Probabilities |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-86643-1
9786611866433 1-86094-537-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Information Theory and The Central Limit Theorem; Preface; Contents; 1. Introduction to Information Theory; 2. Convergence in Relative Entropy; 3. Non-Identical Variables and Random Vectors; 4. Dependent Random Variables; 5. Convergence to Stable Laws; 6. Convergence on Compact Groups; 7. Convergence to the Poisson Distribution; 8. Free Random Variables; Appendix A Calculating Entropies; Appendix B Poincare Inequalities; Appendix C de Bruijn Identity; Appendix D Entropy Power Inequality; Appendix E Relationships Between Different Forms of Convergence; Bibliography; Index |
| Record Nr. | UNINA-9910450231003321 |
Johnson Oliver (Oliver Thomas)
|
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| London, : Imperial College Press | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Information theory and the central limit theorem [[electronic resource] /] / Oliver Johnson
| Information theory and the central limit theorem [[electronic resource] /] / Oliver Johnson |
| Autore | Johnson Oliver (Oliver Thomas) |
| Pubbl/distr/stampa | London, : Imperial College Press |
| Descrizione fisica | 1 online resource (224 p.) |
| Disciplina | 519.2 |
| Soggetto topico |
Central limit theorem
Information theory - Statistical methods Probabilities |
| ISBN |
1-281-86643-1
9786611866433 1-86094-537-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Information Theory and The Central Limit Theorem; Preface; Contents; 1. Introduction to Information Theory; 2. Convergence in Relative Entropy; 3. Non-Identical Variables and Random Vectors; 4. Dependent Random Variables; 5. Convergence to Stable Laws; 6. Convergence on Compact Groups; 7. Convergence to the Poisson Distribution; 8. Free Random Variables; Appendix A Calculating Entropies; Appendix B Poincare Inequalities; Appendix C de Bruijn Identity; Appendix D Entropy Power Inequality; Appendix E Relationships Between Different Forms of Convergence; Bibliography; Index |
| Record Nr. | UNINA-9910783482803321 |
|
Johnson Oliver (Oliver Thomas)
|
||
| London, : Imperial College Press | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Information theory and the central limit theorem / / Oliver Johnson
| Information theory and the central limit theorem / / Oliver Johnson |
| Autore | Johnson Oliver (Oliver Thomas) |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | London, : Imperial College Press |
| Descrizione fisica | 1 online resource (224 p.) |
| Disciplina | 519.2 |
| Soggetto topico |
Central limit theorem
Information theory - Statistical methods Probabilities |
| ISBN |
1-281-86643-1
9786611866433 1-86094-537-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Information Theory and The Central Limit Theorem; Preface; Contents; 1. Introduction to Information Theory; 2. Convergence in Relative Entropy; 3. Non-Identical Variables and Random Vectors; 4. Dependent Random Variables; 5. Convergence to Stable Laws; 6. Convergence on Compact Groups; 7. Convergence to the Poisson Distribution; 8. Free Random Variables; Appendix A Calculating Entropies; Appendix B Poincare Inequalities; Appendix C de Bruijn Identity; Appendix D Entropy Power Inequality; Appendix E Relationships Between Different Forms of Convergence; Bibliography; Index |
| Record Nr. | UNINA-9910810920703321 |
|
Johnson Oliver (Oliver Thomas)
|
||
| London, : Imperial College Press | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Information theory and the central limit theorem / Oliver Johnson
| Information theory and the central limit theorem / Oliver Johnson |
| Autore | Johnson, Oliver Thomas |
| Pubbl/distr/stampa | London : Imperial College Press |
| Descrizione fisica | xiv, 209 p. : ill. ; 24 cm |
| Disciplina | 519.2 |
| Soggetto topico |
Central limit theorem
Information theory - Statistical methods Probabilities Teoria dell'informazione |
| ISBN | 1860944736 |
| Classificazione |
AMS 60-02
LC QA273.67.J63 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISALENTO-991000885159707536 |
|
Johnson, Oliver Thomas
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| London : Imperial College Press | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Salento | ||
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Non-Gaussian statistical communication theory / / David Middleton
| Non-Gaussian statistical communication theory / / David Middleton |
| Autore | Middleton David <1920-> |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley-IEEE Press, , 2012 |
| Descrizione fisica | 1 online resource (661 p.) |
| Disciplina |
003.54
003/.54 621.382 |
| Collana | IEEE series on digital & mobile communication |
| Soggetto topico |
Statistical communication theory
Information theory - Statistical methods Gaussian processes |
| ISBN |
1-118-16195-5
1-283-55015-6 9786613862600 1-118-16193-9 |
| Classificazione | SCI067000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Reception as a Statistical Decision Problem -- Space-Time Covariances and Wave Number Frequency Spectra: I. Noise and Signals with Continuous and Discrete Sampling -- Optimum Detection, Space₆Time Matched Filters, and Beam Forming in Gaussian Noise Fields -- Multiple Alternative Detection -- Bayes Extraction Systems: Signal Estimation and Analysis, () = 1 -- Joint Detection and Estimation, () = 1: I. Foundations -- Joint Detection and Estimation under Uncertainty, () < 1. II. Multiple Hypotheses and Sequential Observations -- The Canonical Channel I: Scalar Field Propagation in a Deterministic Medium -- The Canonical Channel II: Scattering in Random Media; 'Classical' Operator Solutions -- Appendix A1 -- Index -- IEEE Press Series on Digital and Mobile Communication. |
| Record Nr. | UNINA-9910141439103321 |
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Middleton David <1920->
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||
| Hoboken, New Jersey : , : Wiley-IEEE Press, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Non-Gaussian statistical communication theory / / David Middleton
| Non-Gaussian statistical communication theory / / David Middleton |
| Autore | Middleton David <1920-> |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley-IEEE Press, , 2012 |
| Descrizione fisica | 1 online resource (661 p.) |
| Disciplina |
003.54
003/.54 621.382 |
| Collana | IEEE series on digital & mobile communication |
| Soggetto topico |
Statistical communication theory
Information theory - Statistical methods Gaussian processes |
| ISBN |
1-118-16195-5
1-283-55015-6 9786613862600 1-118-16193-9 |
| Classificazione | SCI067000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Reception as a Statistical Decision Problem -- Space-Time Covariances and Wave Number Frequency Spectra: I. Noise and Signals with Continuous and Discrete Sampling -- Optimum Detection, Space₆Time Matched Filters, and Beam Forming in Gaussian Noise Fields -- Multiple Alternative Detection -- Bayes Extraction Systems: Signal Estimation and Analysis, () = 1 -- Joint Detection and Estimation, () = 1: I. Foundations -- Joint Detection and Estimation under Uncertainty, () < 1. II. Multiple Hypotheses and Sequential Observations -- The Canonical Channel I: Scalar Field Propagation in a Deterministic Medium -- The Canonical Channel II: Scattering in Random Media; 'Classical' Operator Solutions -- Appendix A1 -- Index -- IEEE Press Series on Digital and Mobile Communication. |
| Record Nr. | UNINA-9910830159403321 |
|
Middleton David <1920->
|
||
| Hoboken, New Jersey : , : Wiley-IEEE Press, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Non-Gaussian statistical communication theory / / David Middleton
| Non-Gaussian statistical communication theory / / David Middleton |
| Autore | Middleton David <1920-> |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-IEEE Press, 2012 |
| Descrizione fisica | 1 online resource (661 p.) |
| Disciplina | 003/.54 |
| Collana | IEEE series on digital & mobile communication |
| Soggetto topico |
Statistical communication theory
Information theory - Statistical methods Gaussian processes |
| ISBN |
1-118-16195-5
1-283-55015-6 9786613862600 1-118-16193-9 |
| Classificazione | SCI067000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Reception as a Statistical Decision Problem -- Space-Time Covariances and Wave Number Frequency Spectra: I. Noise and Signals with Continuous and Discrete Sampling -- Optimum Detection, Space₆Time Matched Filters, and Beam Forming in Gaussian Noise Fields -- Multiple Alternative Detection -- Bayes Extraction Systems: Signal Estimation and Analysis, () = 1 -- Joint Detection and Estimation, () = 1: I. Foundations -- Joint Detection and Estimation under Uncertainty, () < 1. II. Multiple Hypotheses and Sequential Observations -- The Canonical Channel I: Scalar Field Propagation in a Deterministic Medium -- The Canonical Channel II: Scattering in Random Media; 'Classical' Operator Solutions -- Appendix A1 -- Index -- IEEE Press Series on Digital and Mobile Communication. |
| Record Nr. | UNINA-9910876732303321 |
|
Middleton David <1920->
|
||
| Hoboken, N.J., : Wiley-IEEE Press, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
