✦ LIBER ✦

A Semiadaptive Smoothing Algorithm in Bispectrum Estimation

✍ Scribed by Wei Yang; Zurbenko, I.G.

Book ID: 119823099
Publisher: IEEE
Year: 2008
Tongue: English
Weight: 533 KB
Volume: 56
Category: Article
ISSN: 1053-587X
DOI: 10.1109/tsp.2008.929131

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A Robust hierarchical motion estimation

A Robust hierarchical motion estimation algorithm in noisy image sequences in the bispectrum domain

✍ El Mehdi Ismaili Alaoui; Elhassane Ibn-Elhaj 📂 Article 📅 2008 🏛 Springer-Verlag 🌐 English ⚖ 1000 KB

A suboptimal estimation algorithm based

A suboptimal estimation algorithm based on smoothing B splines

✍ D. A. Bezuglov; A. V. Sklyarov; R. A. Zabrodin; I. V. Reshetnikova 📂 Article 📅 2006 🏛 Springer US 🌐 English ⚖ 184 KB

A robust algorithm for parameter estimat

A robust algorithm for parameter estimation in smooth transition autoregressive models

✍ Stelios D. Bekiros 📂 Article 📅 2009 🏛 Elsevier Science 🌐 English ⚖ 153 KB

Compensating for estimation smoothing in

Compensating for estimation smoothing in kriging

✍ Olea, Ricardo A. ;Pawlowsky, Vera 📂 Article 📅 1996 🏛 Springer 🌐 English ⚖ 874 KB

A Bayesian model for local smoothing in

A Bayesian model for local smoothing in kernel density estimation

✍ Mark J. Brewer 📂 Article 📅 2000 🏛 Springer US 🌐 English ⚖ 141 KB

Kernel Smoothing in Matlab (Theory and P

Kernel Smoothing in Matlab (Theory and Practice of Kernel Smoothing) || Kernel estimation of a distribution function

✍ Horová, Ivanka; Koláček, Jan; Zelinka, Jiří 📂 Article 📅 2012 🏛 WORLD SCIENTIFIC 🌐 Chinese ⚖ 344 KB

Methods Of Kernel Estimates Represent One Of The Most Effective Nonparametric Smoothing Techniques. These Methods Are Simple To Understand And They Possess Very Good Statistical Properties. This Book Provides A Concise And Comprehensive Overview Of Statistical Theory And In Addition, Emphasis Is Giv