نتایج جستجو برای: the cs sampling operator
تعداد نتایج: 16086983 فیلتر نتایج به سال:
Compressive sampling (CS) is aimed at acquiring a signal or image from data which is deemed insufficient by Nyquist/Shannon sampling theorem. Its main idea is to recover a signal from limited measurements by exploring the prior knowledge that the signal is sparse or compressible in some domain. In this paper, we propose a CS approach using a new total-variation measure TVL1, or equivalently TV ...
Compressed sensing (CS) or compressive sampling provides a new sampling theory to reduce data acquisition, which says that compressible signals can be exactly reconstructed from highly incomplete sets of measurements. Very recently, the CS has been applied for seismic exploration and started to compact the traditional data acquisition. In this paper, we present an optimized sampling strategy fo...
We construct a sampling operator with the property that smoother function is, faster its approximation is. establish direct estimate and weak converse of rate in uniform norm by means modulus smoothness $K$-functional. The case weighted is also considered. weights are positive power-type non-positive exponents at infinity. This preserves every algebraic polynomial.
in new management approaches, in the organizations with inflexible structure, existing of red tapes and interruptions caused by limitations and also non-compliance with environmental changes, create demotivation among staff. with regard to the influence of job motivational potential and its relationship to the type of organizational structure( enabling and dissuasive), the goal of this research...
Time–invariant communication channels are usually modelled as convolution with a fixed impulse–response function. As the name suggests, such a channel is completely determined by its action on a unit impulse. Time–varying communication channels are modelled as pseudodifferential operators or superpositions of time and frequency shifts. The function or distribution weighting those time and frequ...
the history of plant’s used for mankind is as old as the start of humankind. initially, people used plants for their nutritional proposes but after the discovery of medicinal properties, this natural ?ora became a useful source of disease cure and health improvement across various human communities. berberis vulgaris is one of the medicinal plants used in iranian traditional medicine. berberis ...
We adapt the Cuckoo Search (CS) algorithm for solving the three color Graph Coloring Problem (3-GCP). The difficulty of this task is adapting CS from a continuous to a discrete domain. Previous researches used sigmoid functions to discretize the Lévi Flight (LF) operator characteristic of CS, but this approach does not take into account the concept of Solution Distance, one of the main characte...
In this paper, we present a Compressive Sampling (CS)-based feature extraction method for audio signals. In the proposed approach, the audio signal is firstly segmented by hamming windows and the Discrete Fourier Transform (DFT) of the samples is calculated within each frame. Then, the normalized values of the DFT coefficients of each frame are accumulated. At the next step, the second DFT is a...
Introduction: Highly accelerated data acquisition is demanded for 3D volumetric MRI. In recent years, many approaches [1,2,3] have been developed to integrate parallel imaging (PI) and compressed sensing (CS) to achieve higher acceleration than either method alone. Among such approaches, L1SPIRiT [3] synergistically combines PI and CS and has proven promising in clinical evaluations. However, t...
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