✦ LIBER ✦

An orthogonal projection-based approach for PAR reduction in OFDM

✍ Scribed by Hong Chen; Pottie, G.J.

Book ID: 118690202
Publisher: IEEE
Year: 2002
Tongue: English
Weight: 234 KB
Volume: 6
Category: Article
ISSN: 1089-7798
DOI: 10.1109/4234.1001653

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

An active-set approach for OFDM PAR redu

An active-set approach for OFDM PAR reduction via tone reservation

✍ Krongold, B.S.; Jones, D.L. 📂 Article 📅 2004 🏛 IEEE 🌐 English ⚖ 641 KB

Frame-based approach for peak-to-average

Frame-based approach for peak-to-average power ratio reduction in OFDM

✍ Valbonesi, L.; Ansari, R. 📂 Article 📅 2006 🏛 IEEE 🌐 English ⚖ 453 KB

A PAPR reduction technique based on a co

A PAPR reduction technique based on a constant envelope OFDM approach for fiber nonlinearity mitigation in optical direct-detection systems

✍ Silva, J.A.L.; Cartaxo, A.V.T.; Segatto, M.E.V. 📂 Article 📅 2012 🏛 The Optical Society 🌐 English ⚖ 945 KB

A Structure-Guided Approach to an Orthog

A Structure-Guided Approach to an Orthogonal Estrogen-Receptor-Based Gene Switch Activated by Ligands Suitable for in Vivo Studies

✍ Kinzel, Olaf; Fattori, Daniela; Muraglia, Ester; Gallinari, Paola; Nardi, Maria 📂 Article 📅 2006 🏛 American Chemical Society 🌐 English ⚖ 153 KB

The FORTA Project 2013, “Fit for the age

The FORTA Project 2013, “Fit for the aged”: Clinical approaches based on an innovative concept in geriatric pharmacology

✍ Kuhn-Thiel, A.M.; Frohnhofen, H.; Wehling, M. 📂 Article 📅 2013 🏛 Elsevier 🌐 English ⚖ 61 KB

An unsupervised vector quantization-base

An unsupervised vector quantization-based target subspace projection approach to mixed pixel detection and classification in unknown background for remotely sensed imagery

✍ Clark Brumbley; Chein-I Chang 📂 Article 📅 1999 🏛 Elsevier Science 🌐 English ⚖ 874 KB

A recently developed orthogonal subspace projection (OSP) approach has been successfully applied to AVIRIS as well as HYDICE data for image classi"cation. However, it has found that OSP performs poorly in multispectral image classi"cation such as 3-band SPOT data. This is primarily due to the fact t