1,721,080 research outputs found
VLSI wavelet denoising of neural signals: Critical appraisal of different algorithmic solutions for threshold estimation
No full textWavelet denoising represents a common preprocessing step for several biomedical applications exposing low SNR. When the real-time requirements are joined to the fulfilment of area and power minimization for wearable/ implantable applications, such as for neuroprosthetic devices, only custom VLSI implementations can be adopted. In this case, every part of the algorithm should be carefully tuned. The usually overlooked part related to threshold estimation is deeply analysed in this paper, in terms of required hardware resources and functionality, exploiting Xilinx System Generator for the design of the architecture and the co-simulation. The analysis reveals how the widely used Median Absolute Deviation (MAD) could lead to hardware implementations highly inefficient compared to other dispersion estimators demonstrating better scalability, relatively to the specific application
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
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
A sigma-delta architecture for recording of peripheral neural signals in prosthetic applications
No full textA recording module for peripheral neural signals is presented. The proposed device, based on a sigma-delta architecture, is made up of two main parts: an analog module as front-end stage for neural signal acquisition, pre-filtering and sigma-delta modulation and a digital unit for sigma delta decimation and system configuration. The analog module provides a gain of 200V/V in a 800Hz-8kHz frequency range, while the sigma-delta converter grants a 9bit resolution and a good noise rejection thanks to the 32 order decimator IIR filter. Behavioural and transistor-level simulation results confirm that the system is capable of recording neural signals in the order of magnitude of tens of μ eliminating the huge low frequency noise due to electromyographic interferences.
A recording module for peripheral neural signals is presented. The proposed device, based on a sigma-delta architecture, is made up of two main parts: an analog module as front-end stage for neural signal acquisition, pre-filtering and sigma-delta modulation and a digital unit for sigma delta decimation and system configuration. The analog module provides a gain of 200V/V in a 800Hz-8kHz frequency range, while the sigma-delta converter grants a 9bit resolution and a good noise rejection thanks to the 32 order decimator IIR filter. Behavioural and transistor-level simulation results confirm that the system is capable of recording neural signals in the order of magnitude of tens of μΥ eliminating the huge low frequency noise due to electromyographic interferences
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