نتایج جستجو برای: the cs sampling operator
تعداد نتایج: 16086983 فیلتر نتایج به سال:
abstract objectives gradual increase length and complexity of utterance (gilcu) therapy method is a form of operant conditioning. this type of treatment is very precise and controlled that is done in 54 steps in 3 speech situations consisted of monologue, reading and conversation. this study aimed to examine the effects of gilcu treatment method on reduction of speech dysfluency of school-age...
the purpose of this study was to investigate the relationship between teachers’ class management practices with students’ self- regulated learning and academic self-efficacy. in this study relating to the management class, three dimensions, (training management, people management and behavior management) and three style (interventionist, interactionist and non-interventionist) was considered. r...
A method to improve l1 performance of the CS (Compressive Sampling) for signals with known spectral energy density is proposed. Instead of random sampling, the proposed method selects the location of samples to follow the distribution of the spectral energy. Samples collected from three different measurement methods; the uniform sampling, random sampling, and energy equipartition sampling, are ...
rivers and runoff have always been of interest to human beings. in order to make use of the proper water resources, human societies, industrial and agricultural centers, etc. have usually been established near rivers. as the time goes on, these societies developed, and therefore water resources were extracted more and more. consequently, conditions of water quality of the rivers experienced rap...
Deep learning has recently been intensively studied in the context of image compressive sensing (CS) to discover and represent complicated structures. These approaches, however, either suffer from nonflexibility for an arbitrary sampling ratio or lack explicit deep-learned regularization term. This paper aims solve CS reconstruction problem by combining term proximal operator. We first introduc...
Introduction Adaptive imaging allows multiple image sets, each having a different spatial-temporal balance, to be retrospectively reconstructed from the same dataset. High temporal resolution image sets from radial sampling schemes are typically undersampled, and suffer from streak artifacts that degrade image quality. It has been shown that a compressed sensing (CS) L1-penalized reconstruction...
This paper investigates compressed sensing (CS) based methods for reducing data-acquisition time in 2D millimeter-wave holographic imaging systems. Specific attention is paid to situations where the array element spacing does not satisfy the Nyquist criterion due to physical limitations. Simulation and experimental results demonstrate that CS methods achieve better reconstruction than the conve...
This study presents a sub-Nyquist sampling model using compressed sensing (CS) as a new signal processing framework to acquire and reconstruct sparse signals. High-speed periodic signals were sampled using low frequency sampling circuit and reconstructed via CS recovery algorithm, resulting in a high equivalent sampling frequency. This prototype system is able to capture repetitive waveforms at...
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