6 edition of **Signal processing with alpha-stable distributions and applications** found in the catalog.

- 95 Want to read
- 18 Currently reading

Published
**1995** by Wiley in New York .

Written in English

- Signal processing -- Mathematics.,
- Distribution (Probability theory)

**Edition Notes**

Statement | Chrysostomos L. Nikias, Min Shao. |

Series | Adaptive and learning systems for signal processing, communications, and control |

Contributions | Shao, Min. |

Classifications | |
---|---|

LC Classifications | TK5102.9 .N543 1995 |

The Physical Object | |

Pagination | xiii, 168 p. : |

Number of Pages | 168 |

ID Numbers | |

Open Library | OL1270310M |

ISBN 10 | 047110647X |

LC Control Number | 95001482 |

In this paper a novel method for informative frequency band selection for local damage detection is presented. Local damage in bearings/gearbox provides specific vibration signature, i.e. train of impulses with cycle related to fault frequency. The proposed approach is based on the α-stable distribution, which is an extension of the Gaussian by: Advanced Signal Processing and Coordination Applied to Electronic Support Measures Navy SBIR - Topic N NAVAIR Nikias, C. and Shao, M. “Signal processing with alpha-stable distributions and applications”. New York: Wiley-Interscience, ISBN: 0 .

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This book offers, for the first time, a full and lucid introduction to a very useful type of these non-Gaussian models, namely those specified by alpha-stable distributions. Signal Processing with Alpha-Stable Distributions and Applications presents a long-awaited survey of the statistical properties, methods, and applications of symmetrical Cited by: The book is intended as an introduction to the use of alpha-stable distribution models by researchers and engineers with a background in signal processing.

Each chapter is followed by problems that require an understanding of the concepts presented and the ability to map the techniques to real-world situations. (source: Nielsen Book Data) Summary Presenting a survey of the statistical properties, methods and applications of symmetrical alpha-stable distributions, this study emphasizes the practical rather than the theoretical aspects of signal processing.

Alpha-Stable Distributions in Signal Processing of Audio Signals Preben Kidmose, Department of Mathematical Modelling, Section for Digital Signal Processing, Technical University of Denmark, BuildingDK Lyngby, Denmark Abstract First, we propose two versions of a sliding window, block based parameter estimator for estimating the.

Signal processing with alpha-stable distributions and applications. [Chrysostomos L Nikias; Min Shao] Stable Models for Impulsive Noise -- Signal Detection in Stable Noise -- Current and Future Trends in Signal Processing with Alpha-Stable Distributions\/span>\"@ en\/a> ; \u00A0 # Adaptive and learning systems for signal.

This book offers, for the first time, a full and lucid introduction to a very useful type of these non–Gaussian models, namely those specified by alpha–stable distributions. Signal Processing with Alpha–Stable Distributions and Applications presents a long–awaited survey of the statistical properties, methods, and applications of Book Edition: 1.

Signal Processing with Alpha-stable Distributions and Applications by Min Shao,available at Book Depository with free delivery worldwide.4/5(1).

In many practical applications, there is a natural upper bound that truncates the prob-ability tail. This paper derives estimators for the truncated Pareto distribution, investigates their properties, and illustrates a way to check for fit.

We illustrate these methods with applications from finance, hydrology and atmospheric science. Buy Signal Processing with Alpha-stable Distributions and Applications (Adaptive and Learning Systems for Signal Processing, Communications and Control Series) by Nikias, Chrysostomos L., Shao, Min (ISBN: ) from Amazon's Book Store.

Everyday low prices and free delivery on eligible : Chrysostomos L. Nikias, Min Shao. Buy Signal Processing with Alpha-Stable Distributions and Applications by Chrysostomos L Nikias, Min Shao online at Alibris. We have new and used copies available, in 1 editions - starting at $ Shop now.

Signal Processing with Alpha-Stable Distributions and Applications 作者: Chrysostomos L. Nikias / Min Shao 出版社: Wiley-Interscience 出版年: 定价: USD 装帧: Hardcover ISBN: Advanced Signal Processing and Coordination Applied to Electronic Support Measures.

Printer-friendly version. Develop advanced signal processing and coordination techniques to improve Electronic Support Measures (ESM) probability of intercept statistics in the presence of onboard radar transmissions. "Signal processing with alpha. III Regression, Time Series, Signal Processing and Stable Processes 11 Signal Processing with Stable Distributions This book describes the basic facts about univariate and multivariate stable distributions, with an emphasis on practical applications.

Part I focuses on univariate stable Size: KB. Wideband array signal processing with alpha-stable distributions. To help engineers better understand the stable models and develop methodologies for their applications in signal processing.

Signal Processing With Alpha Stable Distributions And Applications Adaptive And Cognitive Dynamic Systems Signal Processing Learning Communications And Control.

The Signal Processing Laboratory has had long involvement in audio and music processing. Early work in sound restoration here in the 's led to the founding of the successful company CEDAR Audio Ltd.

which produces DSP equipment for remastering and enhancement of sound in the recording, broadcast and forensic industries. Nikias, “Signal Processing with Alpha-Stable Distributions and Applications,” Proceedings of the IEEE Workshop on Nonlinear Signal and Image Processing, Neos Marmaras, Halkidiki, Greece, June Alpha‐Stable distributions have received wide interest in the signal processing community and became state of the art models for impulsive noise and internet traffic in the last 20 years since the influential paper of Nikias and Shao in Book review Full text access Signal processing with alpha-stable distributions and applications: C.L.

Nikias and Min Shoa (): Wiley, ISBN x, £pp. Walter Krämer. Advances in nonlinear signal processing A paper on using stable distributions in signal processing. It shows that significant improvement can be made in the presence of heavy tailed noise.

( mb) Modeling financial data with stable distributions A paper from on using stable distributions in finance (with some later corrections). Alpha-Stable Matrix Factorization Article (PDF Available) in IEEE Signal Processing Letters 22(12) September with 67 Reads How we measure 'reads'.

Book Description. Nonlinear signal and image processing methods are fast emerging as an alternative to established linear methods for meeting the challenges of increasingly sophisticated applications. Advances in computing performance and nonlinear theory are making nonlinear techniques not only viable, but practical.

Signal processing with alpha-stable distributions and applications: C.L. Nikias and Min Shoa (): Wiley, ISBN x, [pound sign]pp. Author & abstract Download. Signal Processing with Alpha-Stable Distributions and Applications presents a long-awaited survey of the statistical properties, methods, and applications of symmetrical alpha-stable distributions.

Its emphasis on practical rather than theoretical aspects will appeal to both researchers and practicing engineers in signal processing.

xiii, p.: ill. ; 25 cm. Signal. Signal Processing with Alpha-Stable Distributions and Applications (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control) by Chrysostomos L.

Nikias, Min Shao. 作者: Chrysostomos L. Nikias Min Shao isbn: 书名: Signal Processing with Alpha-Stable Distributions and Applications 定价: USD 出版社: Wiley-Interscience 装帧: Hardcover 出版年: >.

the Gaussian is the class of -stable distributions. InNikias and Shao [1] gave an introductory review of -stable distributions from a statistical signal processing viewpoint that was followed by a book from the same authors in [2].

Alpha-stable distributions have been used to model diverseFile Size: 1MB. This paper describes an improved Constant False Alarm Rate (CFAR) ship detection algorithm in spaceborne synthetic aperture radar (SAR) image based on Alphastable distribution model.

Typically, the CFAR algorithm uses the Gaussian distribution model to describe statistical characteristics of a SAR image background clutter. However, the Gaussian distribution is only Cited by: Adaptive Signal Processing presents the next generation of algorithms that will produce these desired results, with an emphasis on important applications and theoretical advancements.

This highly unique resource brings together leading authorities in the field writing on the key topics of significance, each at the cutting edge of its own area. This book describes the basic facts about univariate and multivariate stable distributions, with an emphasis on practical applications.

Part I focuses on univariate stable Size: KB. Nolan, J. (), Fitting data and assessing goodness of fit with stable distributions, in Proceedings of the Conference on Applications of Heavy Tailed Distributions in Eco- nomics, Engineering and Statistics, American University, Washington, DC, June 3–5, Cited by: C.

Nikias and M. Shao, Signal processing with alpha-stable distributions and applications. Adaptive and learning systems for signal processing, communications, and control, Chicester: Wiley, Google ScholarAuthor: Ludvík Tesař, Anthony Quinn.

Can one use a non-Gaussian $\alpha$-stable distribution (e.g. the Cauchy distribution) instead, and still construct a Stack Exchange Network Stack Exchange network consists of Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers.

Digital Signal Process () Coefficient of relationship for two symmetric alpha-stable variables when alpha is in the interval (1,2]. Communications in Statistics - Theory and MethodsCited by: IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL.

46, NO. 6, JUNE Analytic Alpha-Stable Noise Modeling in a Poisson Field of Interferers or Scatterers Jacek Ilow, Member, IEEE, and Dimitrios Hatzinakos, Member, IEEE Abstract— This paper addresses non-Gaussian statistical mod-eling of interference as a superposition of a large number of small.

Alpha stable noise, also called Lévy noise, was put forward by Lévy when he studied the Generalized Central Limit Theorem. Compared with Gaussian distribution, alpha stable distribution is better when applied to describe non-Gaussian signals with impulsive properties and a heavy tail, because alpha stable distribution fits these properties better than Gaussian Cited by: 8.

Breiman's probability book solve the general version of this problem (consider stable only, not symmetric). However, it uses infinite divisible distributions and lot of calculations.

So I was wondering if there is a short argument for the symmetric case. My try: Note that using the equal in distribution relation. 'Foundations of Signal Processing is a pleasure to read. Drawing on the authors’ rich experience of research and teaching of signal processing and signal representations, it provides an intellectually cohesive and modern view of the subject from the.

Alpha-Stable distributions in MATLAB The following gives a brief introduction to the Levy alpha-stable distribtuion and some MATLAB functions I've written pertaining to this distribtuion. There are several issues which make dealing with these distribtuions difficult, including infinite means and variances, and the fact that the pdf or cdf.

This book details recent advances in nonlinear theory and methods and explores an array of modern signal and image processing applications. The first several chapters focus on nonlinear signal processing theory, targeting three critical areas: filter analysis, nonlinear filter class design, and signal analysis.

The use of families of generalised Gaussian and alpha-stable distributions for modelling image wavelet Parallel Computation Booth Multiplier Design for Digital Signal Processing Applications free download Abstract Multiplication is an important fundamental function in .Statistical characterization of acoustic signals is a pre-processing technique aiming at the definition of signal observables, to be used as input data of appropriately defined inverse problems aiming at the estimation of critical parameters of the marine : Michael I.

Taroudakis.IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 53, NO. 3, MARCH The Stability Test for Symmetric Alpha-Stable Distributions Ramon F. Brcich, Member, IEEE, D. Robert Iskander, Senior Member, IEEE, and Abdelhak M. Zoubir, Senior Member, IEEE Abstract—Symmetric alpha-stable distributions are a popular statistical model for heavy-tailed .