An automated energy detection algorithm based on consecutive mean excision / / by Kwok F Tom |
Autore | Tom Kwok F. |
Pubbl/distr/stampa | Aberdeen Proving Ground, MD : , : US Army Research Laboratory, , Jan 2018 |
Descrizione fisica | 1 online resource (vi, 36 pages) : color illustrations |
Collana | ARL-TR |
Soggetto topico |
Signal detection
Radiofrequency spectroscopy |
Soggetto genere / forma |
Technical reports.
Statistics. |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910712062003321 |
Tom Kwok F. | ||
Aberdeen Proving Ground, MD : , : US Army Research Laboratory, , Jan 2018 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Capacitive acoustic wave detector and method of using same [[electronic resource] /] / inventor, William T. Yost |
Edizione | [[Redacted ed.]] |
Pubbl/distr/stampa | [Washington, DC] : , : [National Aeronautics and Space Administration], , [1994] |
Descrizione fisica | 1 online resource : illustrations |
Altri autori (Persone) | YostWilliam T |
Collana | NASA case |
Soggetto topico |
Acoustic frequencies
Acoustic propagation Capacitance Capacitors Dielectrics Oscillators Parallel plates Signal detection Sound waves Transducers Sound-waves |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910697278003321 |
[Washington, DC] : , : [National Aeronautics and Space Administration], , [1994] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Detection and estimation for communication and radar systems / / Kung Yao, University of California, Los Angeles, Flavio Lorenzelli, The Aerospace Corporation, Los Angeles, Chiao-En Chen, National Chung Cheng University, Taiwan [[electronic resource]] |
Autore | Yao Kung |
Pubbl/distr/stampa | Cambridge : , : Cambridge University Press, , 2013 |
Descrizione fisica | 1 online resource (x, 322 pages) : digital, PDF file(s) |
Disciplina | 621.382/2 |
Soggetto topico |
Signal processing
Signal detection |
ISBN |
1-107-23334-8
1-139-60976-9 1-139-01561-3 1-139-61162-3 1-139-62092-4 1-283-94804-4 1-139-62464-4 1-139-61534-3 1-139-60833-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Machine generated contents note: 1. Introduction and motivation to detection and estimation; 2. Review of probability and random processes; 3. Statistical hypothesis testing theory; 4. Detection of deterministic binary signals in Gaussian noises; 5. M-ary detection and classification of deterministic signals; 6. Non-coherent detection; 7. Parameter estimation; 8. Analytical and simulation methods for system performance analysis and design. |
Altri titoli varianti | Detection & estimation for communication & radar systems |
Record Nr. | UNINA-9910462787803321 |
Yao Kung | ||
Cambridge : , : Cambridge University Press, , 2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Detection and estimation for communication and radar systems / / Kung Yao, University of California, Los Angeles, Flavio Lorenzelli, The Aerospace Corporation, Los Angeles, Chiao-En Chen, National Chung Cheng University, Taiwan [[electronic resource]] |
Autore | Yao Kung |
Pubbl/distr/stampa | Cambridge : , : Cambridge University Press, , 2013 |
Descrizione fisica | 1 online resource (x, 322 pages) : digital, PDF file(s) |
Disciplina | 621.382/2 |
Soggetto topico |
Signal processing
Signal detection |
ISBN |
1-107-23334-8
1-139-60976-9 1-139-01561-3 1-139-61162-3 1-139-62092-4 1-283-94804-4 1-139-62464-4 1-139-61534-3 1-139-60833-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Machine generated contents note: 1. Introduction and motivation to detection and estimation; 2. Review of probability and random processes; 3. Statistical hypothesis testing theory; 4. Detection of deterministic binary signals in Gaussian noises; 5. M-ary detection and classification of deterministic signals; 6. Non-coherent detection; 7. Parameter estimation; 8. Analytical and simulation methods for system performance analysis and design. |
Altri titoli varianti | Detection & estimation for communication & radar systems |
Record Nr. | UNINA-9910786183403321 |
Yao Kung | ||
Cambridge : , : Cambridge University Press, , 2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Detection and estimation for communication and radar systems / / Kung Yao, University of California, Los Angeles, Flavio Lorenzelli, The Aerospace Corporation, Los Angeles, Chiao-En Chen, National Chung Cheng University, Taiwan [[electronic resource]] |
Autore | Yao Kung |
Pubbl/distr/stampa | Cambridge : , : Cambridge University Press, , 2013 |
Descrizione fisica | 1 online resource (x, 322 pages) : digital, PDF file(s) |
Disciplina | 621.382/2 |
Soggetto topico |
Signal processing
Signal detection |
ISBN |
1-107-23334-8
1-139-60976-9 1-139-01561-3 1-139-61162-3 1-139-62092-4 1-283-94804-4 1-139-62464-4 1-139-61534-3 1-139-60833-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Machine generated contents note: 1. Introduction and motivation to detection and estimation; 2. Review of probability and random processes; 3. Statistical hypothesis testing theory; 4. Detection of deterministic binary signals in Gaussian noises; 5. M-ary detection and classification of deterministic signals; 6. Non-coherent detection; 7. Parameter estimation; 8. Analytical and simulation methods for system performance analysis and design. |
Altri titoli varianti | Detection & estimation for communication & radar systems |
Record Nr. | UNINA-9910816959703321 |
Yao Kung | ||
Cambridge : , : Cambridge University Press, , 2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Elementary signal detection theory [[electronic resource] /] / Thomas D. Wickens |
Autore | Wickens Thomas D. <1942-> |
Pubbl/distr/stampa | Oxford ; ; New York, : Oxford University Press, c2002 |
Descrizione fisica | 1 online resource (277 p.) |
Disciplina | 621.382 |
Soggetto topico |
Signal theory (Telecommunication)
Signal detection |
Soggetto genere / forma | Electronic books. |
ISBN |
0-19-535780-9
1-280-76054-0 9786610760541 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Contents; 1 The signal-detection model; 1.1 Some examples; 1.2 Hits and false alarms; 1.3 The statistical decision representation; Reference notes; Exercises; 2 The equal-variance Gaussian model; 2.1 The Gaussian detection model; 2.2 The equal-variance model; 2.3 Estimating d' and λ; 2.4 Measuring bias; 2.5 Ideal observers and optimal performance; Reference notes; Exercises; 3 Operating characteristics and the Gaussian model; 3.1 The operating characteristic; 3.2 Isocriterion and isobias contours; 3.3 The equal-variance Gaussian operating characteristic
3.4 The unequal-variance Gaussian model3.5 Fitting an empirical operating characteristic; 3.6 Computer programs; Reference notes; Exercises; 4 Measures of detection performance; 4.1 The distance between distributions; 4.2 Distances to the isosensitivity line; 4.3 The area under the operating characteristic; 4.4 Recommendations; 4.5 Measures of bias; 4.6 Aggregation of detection statistics; Reference notes; Exercises; 5 Confidence ratings; 5.1 The rating experiment; 5.2 The detection model for rating experiments; 5.3 Fitting the rating model; Exercises; 6 Forced-choice procedures 6.1 The forced-choice experiment6.2 The two-alternative forced-choice model; 6.3 Position bias; 6.4 Forced-choice and yes/no detection tasks; 6.5 The K-alternative forced-choice procedure; Exercises; 7 Discrimination and identification; 7.1 The two-alternative discrimination task; 7.2 The relationship between detection and discrimination; 7.3 Identification of several stimuli; Reference notes; Exercises; 8 Finite-state models; 8.1 The high-threshold model; 8.2 The high-threshold operating characteristic; 8.3 Other finite-state representations; 8.4 Rating-scale data; Reference notes; Exercises 9 Likelihoods and likelihood ratios9.1 Likelihood-ratio tests; 9.2 The Bayesian observer; 9.3 Likelihoods and signal-detection theory; 9.4 Non-Gaussian distributions; Reference notes; Exercises; 10 Multidimensional stimuli; 10.1 Bivariate signal detection; 10.2 Likelihood ratios; 10.3 Compound signals; 10.4 Signals with correlated components; 10.5 Uncertainty effects; Reference notes; Exercises; 11 Statistical treatment; 11.1 Variability in signal-detection studies; 11.2 Fundamental sampling distributions; 11.3 Simple detection statistics; 11.4 Confidence intervals and hypothesis tests 11.5 Goodness-of-fit tests11.6 Comparison of hierarchical models; 11.7 Interobserver variability; Reference notes; Exercises; Appendix: A summary of probability theory; A.1 Basic definitions; A.2 Random variables; A.3 Some specific distributions; References; Index; A; B; C; D; E; F; G; H; I; J; K; L; M; N; O; P; R; S; T; U; V; W; X; Z |
Record Nr. | UNINA-9910465149503321 |
Wickens Thomas D. <1942-> | ||
Oxford ; ; New York, : Oxford University Press, c2002 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Elementary signal detection theory [[electronic resource] /] / Thomas D. Wickens |
Autore | Wickens Thomas D. <1942-> |
Pubbl/distr/stampa | Oxford ; ; New York, : Oxford University Press, c2002 |
Descrizione fisica | 1 online resource (277 p.) |
Disciplina | 621.382 |
Soggetto topico |
Signal theory (Telecommunication)
Signal detection |
ISBN |
0-19-028241-X
0-19-535780-9 1-280-76054-0 9786610760541 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Contents; 1 The signal-detection model; 1.1 Some examples; 1.2 Hits and false alarms; 1.3 The statistical decision representation; Reference notes; Exercises; 2 The equal-variance Gaussian model; 2.1 The Gaussian detection model; 2.2 The equal-variance model; 2.3 Estimating d' and λ; 2.4 Measuring bias; 2.5 Ideal observers and optimal performance; Reference notes; Exercises; 3 Operating characteristics and the Gaussian model; 3.1 The operating characteristic; 3.2 Isocriterion and isobias contours; 3.3 The equal-variance Gaussian operating characteristic
3.4 The unequal-variance Gaussian model3.5 Fitting an empirical operating characteristic; 3.6 Computer programs; Reference notes; Exercises; 4 Measures of detection performance; 4.1 The distance between distributions; 4.2 Distances to the isosensitivity line; 4.3 The area under the operating characteristic; 4.4 Recommendations; 4.5 Measures of bias; 4.6 Aggregation of detection statistics; Reference notes; Exercises; 5 Confidence ratings; 5.1 The rating experiment; 5.2 The detection model for rating experiments; 5.3 Fitting the rating model; Exercises; 6 Forced-choice procedures 6.1 The forced-choice experiment6.2 The two-alternative forced-choice model; 6.3 Position bias; 6.4 Forced-choice and yes/no detection tasks; 6.5 The K-alternative forced-choice procedure; Exercises; 7 Discrimination and identification; 7.1 The two-alternative discrimination task; 7.2 The relationship between detection and discrimination; 7.3 Identification of several stimuli; Reference notes; Exercises; 8 Finite-state models; 8.1 The high-threshold model; 8.2 The high-threshold operating characteristic; 8.3 Other finite-state representations; 8.4 Rating-scale data; Reference notes; Exercises 9 Likelihoods and likelihood ratios9.1 Likelihood-ratio tests; 9.2 The Bayesian observer; 9.3 Likelihoods and signal-detection theory; 9.4 Non-Gaussian distributions; Reference notes; Exercises; 10 Multidimensional stimuli; 10.1 Bivariate signal detection; 10.2 Likelihood ratios; 10.3 Compound signals; 10.4 Signals with correlated components; 10.5 Uncertainty effects; Reference notes; Exercises; 11 Statistical treatment; 11.1 Variability in signal-detection studies; 11.2 Fundamental sampling distributions; 11.3 Simple detection statistics; 11.4 Confidence intervals and hypothesis tests 11.5 Goodness-of-fit tests11.6 Comparison of hierarchical models; 11.7 Interobserver variability; Reference notes; Exercises; Appendix: A summary of probability theory; A.1 Basic definitions; A.2 Random variables; A.3 Some specific distributions; References; Index; A; B; C; D; E; F; G; H; I; J; K; L; M; N; O; P; R; S; T; U; V; W; X; Z |
Record Nr. | UNINA-9910792248203321 |
Wickens Thomas D. <1942-> | ||
Oxford ; ; New York, : Oxford University Press, c2002 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Elementary signal detection theory / / Thomas D. Wickens |
Autore | Wickens Thomas D. <1942-> |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Oxford ; ; New York, : Oxford University Press, c2002 |
Descrizione fisica | 1 online resource (277 p.) |
Disciplina |
621.382
621.38223 |
Soggetto topico |
Signal theory (Telecommunication)
Signal detection |
ISBN |
0-19-028241-X
0-19-535780-9 1-280-76054-0 9786610760541 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Contents; 1 The signal-detection model; 1.1 Some examples; 1.2 Hits and false alarms; 1.3 The statistical decision representation; Reference notes; Exercises; 2 The equal-variance Gaussian model; 2.1 The Gaussian detection model; 2.2 The equal-variance model; 2.3 Estimating d' and λ; 2.4 Measuring bias; 2.5 Ideal observers and optimal performance; Reference notes; Exercises; 3 Operating characteristics and the Gaussian model; 3.1 The operating characteristic; 3.2 Isocriterion and isobias contours; 3.3 The equal-variance Gaussian operating characteristic
3.4 The unequal-variance Gaussian model3.5 Fitting an empirical operating characteristic; 3.6 Computer programs; Reference notes; Exercises; 4 Measures of detection performance; 4.1 The distance between distributions; 4.2 Distances to the isosensitivity line; 4.3 The area under the operating characteristic; 4.4 Recommendations; 4.5 Measures of bias; 4.6 Aggregation of detection statistics; Reference notes; Exercises; 5 Confidence ratings; 5.1 The rating experiment; 5.2 The detection model for rating experiments; 5.3 Fitting the rating model; Exercises; 6 Forced-choice procedures 6.1 The forced-choice experiment6.2 The two-alternative forced-choice model; 6.3 Position bias; 6.4 Forced-choice and yes/no detection tasks; 6.5 The K-alternative forced-choice procedure; Exercises; 7 Discrimination and identification; 7.1 The two-alternative discrimination task; 7.2 The relationship between detection and discrimination; 7.3 Identification of several stimuli; Reference notes; Exercises; 8 Finite-state models; 8.1 The high-threshold model; 8.2 The high-threshold operating characteristic; 8.3 Other finite-state representations; 8.4 Rating-scale data; Reference notes; Exercises 9 Likelihoods and likelihood ratios9.1 Likelihood-ratio tests; 9.2 The Bayesian observer; 9.3 Likelihoods and signal-detection theory; 9.4 Non-Gaussian distributions; Reference notes; Exercises; 10 Multidimensional stimuli; 10.1 Bivariate signal detection; 10.2 Likelihood ratios; 10.3 Compound signals; 10.4 Signals with correlated components; 10.5 Uncertainty effects; Reference notes; Exercises; 11 Statistical treatment; 11.1 Variability in signal-detection studies; 11.2 Fundamental sampling distributions; 11.3 Simple detection statistics; 11.4 Confidence intervals and hypothesis tests 11.5 Goodness-of-fit tests11.6 Comparison of hierarchical models; 11.7 Interobserver variability; Reference notes; Exercises; Appendix: A summary of probability theory; A.1 Basic definitions; A.2 Random variables; A.3 Some specific distributions; References; Index; A; B; C; D; E; F; G; H; I; J; K; L; M; N; O; P; R; S; T; U; V; W; X; Z |
Record Nr. | UNINA-9910817854303321 |
Wickens Thomas D. <1942-> | ||
Oxford ; ; New York, : Oxford University Press, c2002 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
The Evaluation of failure detection and isloation algorithms for restructurable control [[electronic resource] /] / P. Motyka ... [and others] |
Pubbl/distr/stampa | Hampton, Va. : , : National Aeronautics and Space Administration, Langley Research Center, , [1985] |
Descrizione fisica | 1 online resource (xi, 193 pages) : illustrations |
Altri autori (Persone) | MotykaPaul |
Collana | NASA contractor report |
Soggetto topico |
Algorithms
Flight control Isolation Likelihood ratio Signal detection System failures |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910700812803321 |
Hampton, Va. : , : National Aeronautics and Space Administration, Langley Research Center, , [1985] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Information, weight of evidence, the singularity between probability measures and signal detection / David Bridston Osteyee, Irving John Good |
Autore | Osteyee, David Bridston |
Pubbl/distr/stampa | Berlin : Springer-Verlag, 1974 |
Descrizione fisica | xi, 156 p. ; 24 cm |
Disciplina | 519.23 |
Altri autori (Persone) | Good, Irving Johnauthor |
Collana | Lecture notes in mathematics, 0075-8434 ; 376 |
Soggetto topico |
Gaussian processes
Measure theory Probability measures Signal detection Statistical communication theory |
ISBN | 3540067264 |
Classificazione |
AMS 60G35
AMS 94A15 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISALENTO-991000997069707536 |
Osteyee, David Bridston | ||
Berlin : Springer-Verlag, 1974 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. del Salento | ||
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