✦ LIBER ✦

Reconstruction algorithm in lattice-invariant signal spaces

✍ Scribed by Xian Jun

Publisher: SP Zhejiang University Press
Year: 2005
Tongue: English
Weight: 300 KB
Volume: 6
Category: Article
ISSN: 1009-3095
DOI: 10.1007/bf02856185

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Local reconstruction for sampling in shi

Local reconstruction for sampling in shift-invariant spaces

✍ Qiyu Sun 📂 Article 📅 2008 🏛 Springer 🌐 English ⚖ 419 KB

General A-P iterative algorithm in shift

General A-P iterative algorithm in shift-invariant spaces

✍ Jun Xian; Song Li 📂 Article 📅 2009 🏛 Institute of Mathematics, Chinese Academy of Scien 🌐 English ⚖ 197 KB

Nonuniform Average Sampling and Reconstr

Nonuniform Average Sampling and Reconstruction in Multiply Generated Shift-Invariant Spaces

✍ Akram Aldroubi; Qiyu Sun; Wai-Shing Tang 📂 Article 📅 2004 🏛 Springer 🌐 English ⚖ 195 KB

Signal reconstruction by random sampling

Signal reconstruction by random sampling in chirp space

✍ Eric Carlen; R. Vilela Mendes 📂 Article 📅 2008 🏛 Springer Netherlands 🌐 English ⚖ 820 KB

Reconstruction of compressed samples in

Reconstruction of compressed samples in shift-invariant space base on matrix factorization

✍ Zhaoxuan Zhu; Houjun Wang; Zhigang Wang; Hao Zhang 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 401 KB

According to the model of compressed sampling in shift-invariant space, the over-complete dictionary is usually a function matrix, which increases the complexity of reconstructing samples. In order to reduce the complexity of reconstructing samples, this paper proposes a reconstruction method based

Lattice Algorithms for Compression Color

Lattice Algorithms for Compression Color Space Estimation in JPEG Images

✍ Ramesh Neelamani; Ricardo de Queiroz; Richard Baraniuk 📂 Article 📅 2001 🏛 Elsevier Science 🌐 English ⚖ 166 KB

JPEG (Joint Photographic Experts Group) is an international standard to compress and store digital color images [5]. Given a color image that was previously JPEG-compressed in some hidden color space, we aim to estimate this unknown compression color space from the image. This knowledge is potential