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Institution

Nokia

CompanyEspoo, Finland
About: Nokia is a company organization based out in Espoo, Finland. It is known for research contribution in the topics: Signal & Mobile station. The organization has 16625 authors who have published 28347 publications receiving 695725 citations. The organization is also known as: Nokia Oyj & Oy Nokia Ab.


Papers
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Journal ArticleDOI
TL;DR: It is demonstrated that solution-processed MoOx/MoS2 and WOx/WS2 heterostructures sandwiched between two printed silver electrodes exhibit an unprecedentedly large and tunable electrical resistance range from 10(2) to 10(8) Ω combined with low programming voltages of 0.1-0.2 V.
Abstract: Memristors promise to emulate the appealing characteristics of biological neural systems. Solution-processed heterostructures are now shown to behave as memristive and memcapacitive switches compatible with printed electronics applications.

408 citations

Proceedings ArticleDOI
30 Oct 2008
TL;DR: An outdoors augmented reality system for mobile phones that matches camera-phone images against a large database of location-tagged images using a robust image retrieval algorithm and shows a smart-phone implementation that achieves a high image matching rate while operating in near real-time.
Abstract: We have built an outdoors augmented reality system for mobile phones that matches camera-phone images against a large database of location-tagged images using a robust image retrieval algorithm. We avoid network latency by implementing the algorithm on the phone and deliver excellent performance by adapting a state-of-the-art image retrieval algorithm based on robust local descriptors. Matching is performed against a database of highly relevant features, which is continuously updated to reflect changes in the environment. We achieve fast updates and scalability by pruning of irrelevant features based on proximity to the user. By compressing and incrementally updating the features stored on the phone we make the system amenable to low-bandwidth wireless connections. We demonstrate system robustness on a dataset of location-tagged images and show a smart-phone implementation that achieves a high image matching rate while operating in near real-time.

406 citations

Journal ArticleDOI
15 Mar 2000
TL;DR: In this article, the explanatory power and information contents of several remote sensing data sources on the retrieval of stem volume, basal area, and mean height, utilizing the following data: Landsat TM, Spot PAN and XS, ERS-1/2 PRI and SLC, airborne data from imaging spectrometer AISA, radar-derived forest canopy profiles (obtained with HUTSCAT), and aerial photographs.
Abstract: Recent advances in developing new airborne instruments and space-borne missions and in SAR technology, especially in interferometry and coherence estimation, have roused questions: can such new SAR data be utilized in operational forest inventory? What is the accuracy of different satellite data for forest inventory? This paper verifies the explanatory power and information contents of several remote sensing data sources on the retrieval of stem volume, basal area, and mean height, utilizing the following data: Landsat TM, Spot PAN and XS, ERS-1/2 PRI and SLC (coherence estimation), airborne data from imaging spectrometer AISA, radar-derived forest canopy profiles (obtained with HUTSCAT), and aerial photographs. Ground truth data included three different sets ranging from conventional forest inventory data to intensive field checking where one man-day was spent for assessing one stand. Multivariate and neural network methods were applied in data analysis. The results suggested that (1) radar-derived stand profiles obtained with 100 m spacing was the most accurate data source in this comparison and was of equivalent accuracy with conventional forest inventory for mean height and stem volume estimation, (2) aerial photographs (scale 1 : 20,000) gave comparable results with the imaging spectrometer AISA, (3) the satellite images used for the estimation in the decreasing explanation power were Spot XS, Spot PAN, Landsat TM, ERS SAR coherence, JERS SAR intensity images (PRI); and ERS SAR intensity images (PRI). It appears that optical images still include more information for forest inventory than radar images, (4) from all satellite radar methods, the coherence technique seemed to be superior to other methods.

406 citations

Journal ArticleDOI
TL;DR: This work uses a recursive set-partitioning procedure to sort subsets of wavelet coefficients by maximum magnitude with respect to thresholds that are integer powers of two, and concludes that this algorithm retains all the desirable features of these algorithms and is highly competitive to them in compression efficiency.
Abstract: We propose an embedded, block-based, image wavelet transform coding algorithm of low complexity. It uses a recursive set-partitioning procedure to sort subsets of wavelet coefficients by maximum magnitude with respect to thresholds that are integer powers of two. It exploits two fundamental characteristics of an image transform-the well-defined hierarchical structure, and energy clustering in frequency and in space. The two partition strategies allow for versatile and efficient coding of several image transform structures, including dyadic, blocks inside subbands, wavelet packets, and discrete cosine transform (DCT). We describe the use of this coding algorithm in several implementations, including reversible (lossless) coding and its adaptation for color images, and show extensive comparisons with other state-of-the-art coders, such as set partitioning in hierarchical trees (SPIHT) and JPEG2000. We conclude that this algorithm, in addition to being very flexible, retains all the desirable features of these algorithms and is highly competitive to them in compression efficiency.

406 citations

Journal ArticleDOI
Olli Viikki1, Kari Laurila1
TL;DR: A segmental feature vector normalization technique is proposed which makes an automatic speech recognition system more robust to environmental changes by normalizing the output of the signal-processing front-end to have similar segmental parameter statistics in all noise conditions.

405 citations


Authors

Showing all 16635 results

NameH-indexPapersCitations
Federico Capasso134118976957
Andreas Richter11076948262
Shunpei Yamazaki109347666579
Jinsong Huang10529049042
Marc Pollefeys9860136463
Merouane Debbah9665241140
Benjamin J. Eggleton92119534486
Jérôme Faist9197037221
Jean-Pierre Hubaux9041535837
Bernd Girod8760432298
Howard E. Katz8747527991
J.J. Garcia-Luna-Aceves8660225151
Ramesh Raskar8667030675
Ananth Dodabalapur8539427246
Stephen A. Spector8542441705
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20231
202223
2021225
2020465
2019547
2018477