1,721,059 research outputs found
Reliable JPEG 2000 wireless imaging by means of error-correcting MQ coder
No full textA new error resilience tool is proposed for robust JPEG 2000 imaging over noisy channels. In particular, a modified encoder based on an MQ arithmetic coder with forbidden symbol is introduced, along with a maximum likelihood error-correcting MQ decoder. The proposed technique features error detection, error concealment and error correction capability, thus adding new useful functionalities to JPEG 2000. Experimental results show that this technique largely outperforms the standard JPEG 2000 error resilience tools as for error concealment and hard/soft channel decoding
Trellis coded polarization shift keying modulation for coherent optical communications
No full textIEEE TRANSACTION ON COMMUNICATION
Retransmission strategies for optimized JPEG 2000 image transmission in wireless environment
Full text linkPublication in the conference proceedings of EUSIPCO, Viena, Austria, 200
Wearable Sensors for Supporting Diagnosis, Prognosis, and Monitoring of Neurodegenerative Diseases
Full text linkDeep learning for Parkinson's disease: a case study on Freezing of Gait
Full text linkWe propose a deep-learning method for feature
extraction from gait data of Parkinson’s disease patients. Our
goal is to verify whether a fine classification of gait between
similar groups can be achieved. To this end, we refer as a case
study to the Freezing of Gait (FOG), and we measure gait data
from two groups of patients, which exhibit (respectively, do not
exhibit) this symptom. Wearable inertial sensors are employed,
and data are collected during activities similar to those performed
by patients during their daily living. Moreover, most patients are
in daily on state, hence the two groups are difficult to classify, as
their gait does not exhibit evident differences. Whereas classical
Machine Learning methods are not sufficiently robust to perform
such a fine classification, if they are fed with features extracted
by means of a deep network, the results are satisfactory also
when a large dataset is not available and data present a mild
degree of heterogeneit
Joint source-channel iterative decoding of arithmetic codes
No full textIn this paper an innovative joint source channel coding scheme is presented. The system is based on iterative soft decoding of arithmetic codes, by means of a novel soft-in soft-out decoder based on suboptimal search and pruning of a binary tree. An error resilient arithmetic coder with a forbidden symbol is used in order to improve the performance of the joint source/channel scheme. The performance in the case of transmission across the AWGN channel is evaluated in terms of frame error rate, and compared to a traditional separated approach. Finally the convergence property of the system is analyzed by means of the EXIT chart technique
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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