Signal Processing
Application of digital signal processing in biological sciences
... digital signal processing ...filtering, processing and analyzing signals based on the assumption that signal amplitudes can be represented by a finite set of integers corresponding to the ...
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OPTIMAL SIGNAL PROCESSING METHODS IN GPR
... important signal processing methods (Wavelet Transform, Matched Filter and Hilbert Huang) will be compared to each other in order to get most accurate information about objects which are in subsurface or ...
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Digital signal processing reveals circadian baseline oscillation in majority of mammalian genes.
... grouped by phase. It is also consistent with previously reported simulation studies [10] that pointed to the absence of an identifiable nonoscillating fraction of genes in our data. We believe that the source of the ...
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Fractional Discrete-Time Signal Processing: Scale Conversion and Linear Prediction1
... Geophysical Signal Processing and ...the signal over time instants, between the current ones, without converting the signal to the continuous-time ...
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Ultrasonic Signal Processing Hybrid Technique for Analysis of Alcoholic Fermentation Process
... ultrasonic signal processing im- plemented in this study, which is comprised for compu- tational procedures of detection, characterization and clas- sification showed a good performance to identify during ...
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Wigner Ville Distribution in Signal Processing, using Scilab Environment
... the signal is distributed so that specific frequencies are localized in time by the group delay time and at specifics instants in time the frequency is given by the instantaneous ...of signal ...
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Array signal processing and data protection applied to smart grids
... image processing and security [56] [57], secret sharing schemes [38] [39] and E-Voting systems ...Another signal processing application of CRT is related to phase unwrapping based systems for ...
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TOF-LIDAR signal processing using the CFAR detector
... of signal processing, a thresholding is applied to the raw data to generate point mea- surements that represent the existence of an existing target and its corresponding distance from the ...
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Signal processing approach for breath prediction pattern recognition
... of signal processing for breath prediction pattern recogni- tion is proposed and further analyses are ...new signal processing approach in comparison to the previous ...
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A signal processing, result management and visualization system for evaluation of long term dynamic behavior of bridges
... corresponding signal processing ...automated signal processing ...automated signal processing toolkit for application of the monitoring system to other ...
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Vision, Image Signal Processing
... Fractional calculus is an area of mathematics that deals with derivatives and integrals of non integer order (i.e., real or, even, complex) that are joined under the name of differintegration. In the last decade, ...
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A Signal Processing View of Differintegration
... usual Signal Processing practice. In fact, in Signal Processing, we frequently assume that the signals have R as domain and use the Bilateral Laplace (LT) and Fourier (FT) ...
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Preset time count rate meter using adaptive digital signal processing
... While the first method ex e cutes the ad ap ta - tion al go rithm af ter the low-pass fil ters to en able shorter pre set time in ter vals for higher sta tion ary rates, the sec ond meth[r] ...
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Tensor techniques in signal processing: algorithms for the canonical polyadic decomposition (PARAFAC)
... Low rank tensor decomposition has been playing for the last years an important role in many appli- cations such as blind source separation, telecommunications, sensor array processing, neuroscience, chemometrics, ...
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DSP Systems vs ANN Ensembles for Motion Detection and Filtering
... Popular image processing systems utilize digital signal processing (DSP) techniques [1]. Aliasing and filtering are considered to be problematic processes in DSP based image processing ...
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Braz. J. Pharm. Sci. vol.53 número1
... the signal analysis of ratio spectra (RS) of VAL/HCT and ...proposed signal processing methods were then successfully applied to the simultaneous quantitative evaluation and simultaneous dissolution ...
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A Constraint Programming Approach to Optimize Network Calls by Minimizing Variance in Data Availability Times
... Naderi, “A new joint time and frequency offset estimation method for OFDM systems,” IEEE International Conference on Wireless Communications & Signal Processing (WCSP), pp. Evans, “R[r] ...
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An iterative detection technique for DS-CDMA signals with strong nonlinear distortion effects
... After the de-spreading operation, the data estimates for each user ^a m;p are obtained by submitting ~a m;p to an hard-decision device and used to form an estimate of the chip samples ^s n . By submitting these chip ...
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Energy Efficiency of MIMO-OFDM Communication System
... (MIMO) signal processing with orthogonal frequency division multiplexing (OFDM) is regarded as a promising solution for enhancing the data rates of next-generation wireless communication systems operating ...
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A multi-sensing physical therapy assessment for children with cerebral palsy
... advanced signal processing are used [1-2], however, there are still a lack of implementation in the field of cerebral palsy rehabilitation monitoring and physical rehabilitation ...
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