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2007 IEEE/SP 14th Workshop on Statistical Signal Processing : Madison, WI, 26-29 August 2007
| 2007 IEEE/SP 14th Workshop on Statistical Signal Processing : Madison, WI, 26-29 August 2007 |
| Pubbl/distr/stampa | IEEE |
| Disciplina | 004/.33 |
| Soggetto topico |
Signal processing - Statistical methods
Array processors |
| ISBN | 1-5090-8257-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
Electrotechnical Conference
2007 IEEE/SP 14th Workshop on Statistical Signal Processing |
| Record Nr. | UNISA-996268147603316 |
| IEEE | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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2007 IEEE/SP 14th Workshop on Statistical Signal Processing : Madison, WI, 26-29 August 2007
| 2007 IEEE/SP 14th Workshop on Statistical Signal Processing : Madison, WI, 26-29 August 2007 |
| Pubbl/distr/stampa | IEEE |
| Disciplina | 004/.33 |
| Soggetto topico |
Signal processing - Statistical methods
Array processors |
| ISBN |
9781509082575
1509082573 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
Electrotechnical Conference
2007 IEEE/SP 14th Workshop on Statistical Signal Processing |
| Record Nr. | UNINA-9910143022003321 |
| IEEE | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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2018 IEEE Statistical Signal Processing Workshop : 10-13 June 2018, Freiburg, Germany / / IEEE Signal Processing Society
| 2018 IEEE Statistical Signal Processing Workshop : 10-13 June 2018, Freiburg, Germany / / IEEE Signal Processing Society |
| Pubbl/distr/stampa | Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018 |
| Descrizione fisica | 1 online resource (178 pages) |
| Disciplina | 621.3822 |
| Soggetto topico | Signal processing - Statistical methods |
| ISBN | 1-5386-1571-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996279923403316 |
| Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
2018 IEEE Statistical Signal Processing Workshop : 10-13 June 2018, Freiburg, Germany / / IEEE Signal Processing Society
| 2018 IEEE Statistical Signal Processing Workshop : 10-13 June 2018, Freiburg, Germany / / IEEE Signal Processing Society |
| Pubbl/distr/stampa | Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018 |
| Descrizione fisica | 1 online resource (178 pages) |
| Disciplina | 621.3822 |
| Soggetto topico | Signal processing - Statistical methods |
| ISBN | 1-5386-1571-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910283656703321 |
| Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Bayesian tensor decomposition for signal processing and machine learning : modeling, tuning-free algorithms and applications / / Lei Cheng, Zhongtao Chen, and Yik-Chung Wu
| Bayesian tensor decomposition for signal processing and machine learning : modeling, tuning-free algorithms and applications / / Lei Cheng, Zhongtao Chen, and Yik-Chung Wu |
| Autore | Cheng Lei |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (189 pages) |
| Disciplina | 006.31 |
| Soggetto topico |
Machine learning - Statistical methods
Signal processing - Statistical methods |
| ISBN | 3-031-22438-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Tensor decomposition: Basics, algorithms, and recent advances -- Bayesian learning for sparsity-aware modeling -- Bayesian tensor CPD: Modeling and inference -- Bayesian tensor CPD: Performance and real-world applications -- When stochastic optimization meets VI: Scaling Bayesian CPD to massive data -- Bayesian tensor CPD with nonnegative factors -- Complex-valued CPD, orthogonality constraint and beyond Gaussian noises -- Handling missing value: A case study in direction-of-arrival estimation -- From CPD to other tensor decompositions. |
| Record Nr. | UNINA-9910672446803321 |
Cheng Lei
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| Cham, Switzerland : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Blind identification and separation of complex-valued signals / / Eric Moreau, Tülay Adalı
| Blind identification and separation of complex-valued signals / / Eric Moreau, Tülay Adalı |
| Autore | Moreau Eric |
| Pubbl/distr/stampa | London : , : ISTE, , 2013 |
| Descrizione fisica | 1 online resource (108 p.) |
| Disciplina | 108 |
| Altri autori (Persone) | AdaliTülay |
| Collana | Focus : digital signal and image processing series |
| Soggetto topico | Signal processing - Statistical methods |
| ISBN |
1-118-57977-1
1-118-57974-7 1-118-57973-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Contents; Preface; Acknowledgments; Chapter 1. Mathematical Preliminaries; 1.1. Introduction; 1.2. Linear mixing model; 1.3. Problem definition; 1.4. Statistics; 1.4.1. Statistics of random variables and random vectors; 1.4.2. Differential entropy of complex random vectors; 1.4.3. Statistics of random processes; 1.4.4. Complex matrix decompositions; 1.5. Optimization: Wirtinger calculus; 1.5.1. Scalar case; 1.5.2. Vector case; 1.5.3. Matrix case; 1.5.4. Summary; Chapter 2. Estimation by Joint Diagonalization; 2.1. Introduction
3.2.1. Mutual information and mutual information rate minimization3.2.2. Maximum likelihood; 3.2.3. Identifiability of the complex ICA model; 3.3. Algorithms; 3.3.1. ML ICA: unconstrained W; 3.3.2. Complex maximization of non-Gaussianity: ML ICA with unitary W; 3.3.3. Density matching; 3.3.4. A flexible complex ICA algorithm: Entropy bound minimization; 3.4. Summary; Bibliography; Index |
| Record Nr. | UNINA-9910142025203321 |
|
Moreau Eric
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||
| London : , : ISTE, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Blind identification and separation of complex-valued signals / / Eric Moreau, Tülay Adalı
| Blind identification and separation of complex-valued signals / / Eric Moreau, Tülay Adalı |
| Autore | Moreau Eric |
| Pubbl/distr/stampa | London : , : ISTE, , 2013 |
| Descrizione fisica | 1 online resource (108 p.) |
| Disciplina | 108 |
| Altri autori (Persone) | AdaliTülay |
| Collana | Focus : digital signal and image processing series |
| Soggetto topico | Signal processing - Statistical methods |
| ISBN |
1-118-57977-1
1-118-57974-7 1-118-57973-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Contents; Preface; Acknowledgments; Chapter 1. Mathematical Preliminaries; 1.1. Introduction; 1.2. Linear mixing model; 1.3. Problem definition; 1.4. Statistics; 1.4.1. Statistics of random variables and random vectors; 1.4.2. Differential entropy of complex random vectors; 1.4.3. Statistics of random processes; 1.4.4. Complex matrix decompositions; 1.5. Optimization: Wirtinger calculus; 1.5.1. Scalar case; 1.5.2. Vector case; 1.5.3. Matrix case; 1.5.4. Summary; Chapter 2. Estimation by Joint Diagonalization; 2.1. Introduction
3.2.1. Mutual information and mutual information rate minimization3.2.2. Maximum likelihood; 3.2.3. Identifiability of the complex ICA model; 3.3. Algorithms; 3.3.1. ML ICA: unconstrained W; 3.3.2. Complex maximization of non-Gaussianity: ML ICA with unitary W; 3.3.3. Density matching; 3.3.4. A flexible complex ICA algorithm: Entropy bound minimization; 3.4. Summary; Bibliography; Index |
| Record Nr. | UNISA-996209963303316 |
|
Moreau Eric
|
||
| London : , : ISTE, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Blind identification and separation of complex-valued signals / / Eric Moreau, Tülay Adalı
| Blind identification and separation of complex-valued signals / / Eric Moreau, Tülay Adalı |
| Autore | Moreau Eric |
| Pubbl/distr/stampa | London : , : ISTE, , 2013 |
| Descrizione fisica | 1 online resource (108 p.) |
| Disciplina | 108 |
| Altri autori (Persone) | AdaliTülay |
| Collana | Focus : digital signal and image processing series |
| Soggetto topico | Signal processing - Statistical methods |
| ISBN |
1-118-57977-1
1-118-57974-7 1-118-57973-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Contents; Preface; Acknowledgments; Chapter 1. Mathematical Preliminaries; 1.1. Introduction; 1.2. Linear mixing model; 1.3. Problem definition; 1.4. Statistics; 1.4.1. Statistics of random variables and random vectors; 1.4.2. Differential entropy of complex random vectors; 1.4.3. Statistics of random processes; 1.4.4. Complex matrix decompositions; 1.5. Optimization: Wirtinger calculus; 1.5.1. Scalar case; 1.5.2. Vector case; 1.5.3. Matrix case; 1.5.4. Summary; Chapter 2. Estimation by Joint Diagonalization; 2.1. Introduction
3.2.1. Mutual information and mutual information rate minimization3.2.2. Maximum likelihood; 3.2.3. Identifiability of the complex ICA model; 3.3. Algorithms; 3.3.1. ML ICA: unconstrained W; 3.3.2. Complex maximization of non-Gaussianity: ML ICA with unitary W; 3.3.3. Density matching; 3.3.4. A flexible complex ICA algorithm: Entropy bound minimization; 3.4. Summary; Bibliography; Index |
| Record Nr. | UNINA-9910822663203321 |
|
Moreau Eric
|
||
| London : , : ISTE, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Detection of signals in noise
| Detection of signals in noise |
| Autore | McDonough Robert N |
| Edizione | [2nd ed. /] |
| Pubbl/distr/stampa | San Diego, : Academic Press, c1995 |
| Descrizione fisica | 1 online resource (512 p.) |
| Disciplina | 621.382/24 |
| Altri autori (Persone) | WhalenAnthony D |
| Soggetto topico |
Signal detection
Signal processing - Statistical methods Random noise theory Signal processing - Digital techniques |
| ISBN |
1-283-61899-0
0-08-050408-6 9786613931443 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Detection of Signals in Noise; Copyright Page; Dedication; Table of Contents; Preface; Chapter 1. Probability; 1.1 Probability in Brief; 1.2 Conditional Probability and Statistical Independence; 1.3 Probability Distribution Functions; 1.4 Continuous Random Variables; 1.5 Functions of Random Variables; 1.6 Characteristic Functions; 1.7 Expectation and Moments; 1.8 Complex Random Variables; Exercises; Chapter 2. Random Processes; 2.1 Introduction; 2.2 Relation to Probability; 2.3 Ensemble Correlation Functions; 2.4 Time Averages; 2.5 Power Spectral Density
2.6 Response of Linear FiltersExercises; Chapter 3. Narrowband Signals; 3.1 The Analytic Signal; 3.2 Narrowband Signals; 3.3 Hilbert Transform; 3.4 Narrowband Filters; 3.5 Narrowband Processes; 3.6 Determination of the Complex Envelope; 3.7 Fourier Series Representation; Exercises; Chapter 4. Gaussian Derived Processes; 4.1 The Gaussian Probability Density; 4.2 The Central Limit Theorem; 4.3 Sum of a Sine Wave and a Gaussian Process; 4.4 Distribution of the Envelope of a Narrowband Process; 4.5 Envelope of a Narrowband Signal Plus Narrowband Noise 4.6 Squared Envelope of a Narrowband Noise Process4.7 The Chi-Squared Density; 4.8 Squared Envelope of a Sine Wave Plus a Narrowband Process; 4.9 Noncentral Chi-Squared Density; 4.10 Student's t-Density; 4.11 Snedecor's F-Density; Exercises; Chapter 5. Hypothesis Testing; 5.1 Introduction; 5.2 A Simple Detection Problem; 5.3 The Neyman-Pearson Criterion; 5.4 Bayes' Criterion; 5.5 Minimum Error Probability Criterion; 5.6 Minimax Criterion; 5.7 Multiple Measurements; 5.8 Multiple Alternative Hypothesis Testing; 5.9 Composite Hypothesis Testing with Minimum Cost; 5.10 Sufficient Statistics 5.11 Uniformly Most Powerful Tests5.12 Unknown a Priori Information and Nonoptimal Tests; Exercises; Chapter 6. Detection of Known Signals; 6.1 Two Completely Known Signals in Additive Gaussian Noise; 6.2 Application to Radar; 6.3 Application to Binary Communications; 6.4 The Likelihood Functions; 6.5 Matched Filters; 6.6 The General Discrete Matched Filter; 6.7 An m-ary Communication System; 6.8 The General Discrete Gaussian Problem; Exercises; Chapter 7. Detection of Signals with Random Parameters; 7.1 Processing Narrowband Signals; 7.2 Detection of Signals with Unknown Carrier Phase 7.3 The Quadrature Receiver and Equivalent Forms7.4 Receiver Operating Characteristics; 7.5 Signals with Random Phase and Amplitude; 7.6 Noncoherent Frequency Shift Keying; 7.7 Signals with Random Frequency; 7.8 Signals with Random Time of Arrival; Exercises; Chapter 8. Multiple Pulse Detection of Signals; 8.1 Known Signals; 8.2 Signals with Unknown Phase; 8.3 Performance of the Quadratic Detector; 8.4 Gram-Charlier Series; 8.5 Performance of the Linear Detector; 8.6 The Case of Unknown Phase and Known Unequal Amplitudes; 8.7 Unknown Amplitude and Phase; 8.8 Diversity Reception; Appendix 1 Appendix 2 |
| Record Nr. | UNINA-9911006536703321 |
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McDonough Robert N
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| San Diego, : Academic Press, c1995 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Digital processing of random signals : theory and methods / Boaz Porat
| Digital processing of random signals : theory and methods / Boaz Porat |
| Autore | Porat, Boaz |
| Edizione | [Dover ed.] |
| Pubbl/distr/stampa | Mineola, N.Y. : Dover, 2008 |
| Descrizione fisica | xi, 449 p. : ill. ; 24 cm |
| Disciplina | 621.3822 |
| Collana | Dover books on engineering |
| Soggetto topico |
Signal processing - Digital techniques
Signal processing - Statistical methods Stochastic processes |
| ISBN |
9780486462981
0486462986 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISALENTO-991000728579707536 |
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Porat, Boaz
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| Mineola, N.Y. : Dover, 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Salento | ||
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