D i s t r i b u t e d P h o t o v o l t a i c G r i d Tra n s f o r m e r s, 2015

اختصاصی از اس فایل D i s t r i b u t e d P h o t o v o l t a i c G r i d Tra n s f o r m e r s, 2015 دانلود با لینک مستقیم و پر سرعت .

279 صفحه

Distributed Photovoltaic Grid Transformers

2015, CRC Press

سرفصلها

Introduction

Use of Distributed Photovoltaic Grid Power Transformers

Voltage Flicker and Variation in Distributed Photovoltaic Grid Transformers

Harmonics and Waveform Distortion (Losses, Power Rating) in Distributed Photovoltaic Grid Transformers

Frequency Variation, Power Factor Variation in Distributed Photovoltaic Grid Transformers.

Islanding Effects on Distributed Photovoltaic Grid Transformers

Relay Protection for Distributed Photovoltaic Grid Power
Transformers

Solution of Crack Problems: The Distributed Dislocation Technique (Solid Mechanics and Its Applications)

اختصاصی از اس فایل Solution of Crack Problems: The Distributed Dislocation Technique (Solid Mechanics and Its Applications) دانلود با لینک مستقیم و پر سرعت .

• • نویسنده (گان): D.A. Hills, P.A. Kelly, D.N. Dai, A.M. Korsunsky

دانلود مقاله Adaptive Distributed Compressed Video Sensing

اختصاصی از اس فایل دانلود مقاله Adaptive Distributed Compressed Video Sensing دانلود با لینک مستقیم و پر سرعت .

Journal of Information Hiding and Multimedia Signal Processing ©2014 ISSN 2073-4212
Ubiquitous International

Xue Zhang1;3, Anhong Wang1, Bing Zeng2, and Lei Liu3

Received May, 2013; revised September, 2013

Abstract. Compressed sensing is a state-of-the-art technology which can signicantly
reduce the number of sampled data in sparse signal acquisition. This paper studies the dis-
tributed compressed sensing (DISCOS) of video signals. To this end, we propose adaptive
adjustments to the block-based (local) measurement rate, the frame-based (global) mea-
surement rate, and the sparse dictionary size, thus forming an adaptive DISCOS scheme
(aDISCOS). Two adjustments on measurement rates are based on the spatial and tem-
poral sparsity that is obtained through an analysis on the block-type and the inter-frame
motion, while the sparse dictionary size is adjusted according to the motion information.
All analyses are implemented at the decoder side and the analysis results are sent back
to the encoder via a feedback channel, yielding a low-complexity encoding (to meet the
equirement of a distributed coding scheme). Simulation results show that the proposed
aDISCOS achieves a superior rate-distortion performance as well as better visual quality,
when compared with the original DISCOS scheme.

Keywords: Compressed sensing, distributed compressed sensing, adaptive sampling,
sparse dictionary