نتایج جستجو برای: centralized signal processing

تعداد نتایج: 828505  

Journal: :IEEE Transactions on Signal Processing 2021

Graphons are infinite-dimensional objects that represent the limit of convergent sequences graphs as their number nodes goes to infinity. This paper derives a theory graphon signal processing centered on notions Fourier transform and linear shift invariant filters, counterparts graph filters. It is shown for associated signals: (i) converges when bandlimited; (ii) spectral vertex responses filt...

Journal: :EURASIP Journal on Advances in Signal Processing 2011

Journal: :Proceedings of the IEEE 1975

Journal: :Yearbook of Medical Informatics 2003

Journal: :Journal of the Japan Society for Precision Engineering 1988

J. G. Webster, R. P. Buinevicius,

Pulse oximetry measures the relative concentration of arterial oxygenated hemoglobin and reduced hemoglobin. This paper presents the design of a pulse oximeter, which measures the presence of a third substance, carboxyhemoglobin (HbCO), by unfiltered LEDs at 660 nm, 810 nm, and 940 nm. Background information is given on the theory of pulse oximetry. Theoretical approximations and calculations w...

A. Alipour A.R. Mehdizadeh M.M. Movahedi,

BCI is one of the most intriguing technologies among other HCI systems, mostly because of its capability of recording brain activities. Spelling BCIs, which help paralyzed people to maintain communication, are one of the striking topics in the field of BCI. In this scientific a spelling BCI system with high transfer rate and accuracy that uses SSVEP signals is proposed.In addition, we suggested...

Radar Signal Processing has been an interesting area of research for realization of programmable digital signal processor using VLSI design techniques. Digital Signal Processing (DSP) algorithms have been an integral design methodology for implementation of high speed application specific real-time systems especially for high resolution radar. CORDIC algorithm, in recent times, is turned out to...

The record of human brain neural activities, namely electroencephalogram (EEG), is generally known as a non-stationary and nonlinear signal. In many applications, it is useful to divide the EEGs into segments within which the signals can be considered stationary. Combination of empirical mode decomposition (EMD) and Hilbert transform, called Hilbert-Huang transform (HHT), is a new and powerful ...

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