Non-Gaussian statistical communication theory / (Record no. 74231)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04286nam a2200961 i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 6198917 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220712205827.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 151221s2012 nju ob 001 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781118161968 |
| -- | ebook |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| -- | |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| -- | electronic |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 003/.54 |
| 100 1# - AUTHOR NAME | |
| Author | Middleton, David, |
| 245 10 - TITLE STATEMENT | |
| Title | Non-Gaussian statistical communication theory / |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 PDF. |
| 490 1# - SERIES STATEMENT | |
| Series statement | IEEE series on digital & mobile communication ; |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 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, Spaceb6sTime 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. |
| 520 8# - SUMMARY, ETC. | |
| Summary, etc | "The book is based on the observation that communication is the central operation of discovery in all the sciences. In its "active mode" we use it to "interrogate" the physical world, sending appropriate "signals" and receiving nature's "reply". In the "passive mode" we receive nature's signals directly. Since we never know a priori what particular return signal will be forthcoming, we must necessarily adopt a probabilistic model of communication"-- |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| Subject | Statistical communication theory. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| Subject | Information theory |
| General subdivision | Statistical methods. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| Subject | Gaussian processes. |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6198917 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Hoboken, New Jersey : |
| -- | Wiley-IEEE Press, |
| -- | 2012. |
| 264 #2 - | |
| -- | [Piscataqay, New Jersey] : |
| -- | IEEE Xplore, |
| -- | [2012] |
| 336 ## - | |
| -- | text |
| -- | rdacontent |
| 337 ## - | |
| -- | electronic |
| -- | isbdmedia |
| 338 ## - | |
| -- | online resource |
| -- | rdacarrier |
| 520 8# - SUMMARY, ETC. | |
| -- | R�esum�e de l'�editeur |
| 588 ## - | |
| -- | Description based on PDF viewed 12/21/2015. |
| 695 ## - | |
| -- | Apertures |
| 695 ## - | |
| -- | Arrays |
| 695 ## - | |
| -- | Bayes methods |
| 695 ## - | |
| -- | Computer aided software engineering |
| 695 ## - | |
| -- | Cost function |
| 695 ## - | |
| -- | Couplings |
| 695 ## - | |
| -- | Covariance matrix |
| 695 ## - | |
| -- | Data mining |
| 695 ## - | |
| -- | Data processing |
| 695 ## - | |
| -- | Decision theory |
| 695 ## - | |
| -- | Eigenvalues and eigenfunctions |
| 695 ## - | |
| -- | Equations |
| 695 ## - | |
| -- | Estimation |
| 695 ## - | |
| -- | Fading channels |
| 695 ## - | |
| -- | Feature extraction |
| 695 ## - | |
| -- | Indexes |
| 695 ## - | |
| -- | Joints |
| 695 ## - | |
| -- | Manganese |
| 695 ## - | |
| -- | Matched filters |
| 695 ## - | |
| -- | Minimization |
| 695 ## - | |
| -- | Narrowband |
| 695 ## - | |
| -- | Noise |
| 695 ## - | |
| -- | Noise measurement |
| 695 ## - | |
| -- | Nonhomogeneous media |
| 695 ## - | |
| -- | Probability density function |
| 695 ## - | |
| -- | Random media |
| 695 ## - | |
| -- | Receivers |
| 695 ## - | |
| -- | Scattering |
| 695 ## - | |
| -- | Sections |
| 695 ## - | |
| -- | Sensors |
| 695 ## - | |
| -- | Signal detection |
| 695 ## - | |
| -- | Silicon compounds |
| 695 ## - | |
| -- | Statistical analysis |
| 695 ## - | |
| -- | Symmetric matrices |
| 695 ## - | |
| -- | Unsupervised learning |
| 695 ## - | |
| -- | Vectors |
No items available.