scholarly journals High-Resolution Audio with Inaudible High-Frequency Components Induces a Relaxed Attentional State without Conscious Awareness

2017 ◽  
Vol 8 ◽  
Author(s):  
Ryuma Kuribayashi ◽  
Hiroshi Nittono
Keyword(s):  
High Resolution ◽  
High Frequency ◽  
Conscious Awareness ◽  
Attentional State ◽  
Frequency Components

scholarly journals Alignment-Free and High-Frequency Compensation in Face Hallucination

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Yen-Wei Chen ◽  
So Sasatani ◽  
Xian-Hua Han
Keyword(s):  
High Resolution ◽  
High Frequency ◽  
Frequency Compensation ◽  
Face Hallucination ◽  
Data Set ◽  
Alignment Free ◽  
Reconstruction Performance ◽  
Frequency Components ◽  
High Frequency Compensation ◽  
Facial Images

Face hallucination is one of learning-based super resolution techniques, which is focused on resolution enhancement of facial images. Though face hallucination is a powerful and useful technique, some detailed high-frequency components cannot be recovered. It also needs accurate alignment between training samples. In this paper, we propose a high-frequency compensation framework based on residual images for face hallucination method in order to improve the reconstruction performance. The basic idea of proposed framework is to reconstruct or estimate a residual image, which can be used to compensate the high-frequency components of the reconstructed high-resolution image. Three approaches based on our proposed framework are proposed. We also propose a patch-based alignment-free face hallucination. In the patch-based face hallucination, we first segment facial images into overlapping patches and construct training patch pairs. For an input low-resolution (LR) image, the overlapping patches are also used to obtain the corresponding high-resolution (HR) patches by face hallucination. The whole HR image can then be reconstructed by combining all of the HR patches. Experimental results show that the high-resolution images obtained using our proposed approaches can improve the quality of those obtained by conventional face hallucination method even if the training data set is unaligned.

The Initial Condition of Cosmological High-Resolution Simulations

2005 ◽  
Vol 201 ◽  
pp. 499-500
Author(s):  
Tomoya. Ogawa ◽  
Shuuichi. Ebi ◽  
Kazuyuki. Yamashita ◽  
Mitsue. Den
Keyword(s):  
High Resolution ◽  
High Frequency ◽  
Adaptive Mesh Refinement ◽  
Initial Conditions ◽  
Mesh Refinement ◽  
Computational Cost ◽  
Adaptive Mesh ◽  
Initial Condition ◽  
Cosmological Simulations ◽  
Frequency Components

Recently, High-resolution algorithms such as the adaptive mesh refinement (AMR) method have been applied to cosmological simulations by several authors. However, the resolution of their INITIAL conditions is not high. We argue the need for cosmological high-resolution simulations to use a high-resolution initial condition or an initial condition including high-frequency components. Then we present the method of creating such initial condition, and estimate its computational cost.

scholarly journals High Resolution Impedance Inversion

2019 ◽  
Vol 37 (4) ◽  
Author(s):  
Carlos Cunha Filho ◽  
Leonardo Teixeira Da Silva ◽  
Nathalia Souto Muniz Da Cruz ◽  
Andrea Damasceno ◽  
Tatiana Soares De Oliveira ◽  
...  
Keyword(s):  
High Resolution ◽  
Seismic Data ◽  
High Frequency ◽  
Frequency Bandwidth ◽  
Input Amplitude ◽  
Amplitude Data ◽  
Impedance Inversion ◽  
Frequency Components ◽  
Study Case

ABSTRACTThe identification of clay-rich layers is crucial for development of pre-salt reservoirs. They represent flow barriers and compromise the return of investment of the project if the thickness is misvalued. This issue becomes more relevant for thin clay-rich layers. The solution for the characterization of thin beds is classic: increase of the frequency bandwidth in seismic data. Here, we present a new methodology to derive high-frequency impedance volume. The approach starts with the recovery of low and high-frequency components in seismic data by the application of interactive deconvolution (iterdec). The extended bandwidth data is employed as an input amplitude data to the sparse-spike inversion. The outcome is a high-frequency acoustic impedance volume, which improves the interpretation of thin clay-rich layers. We present a study case of a presalt reservoir to demonstrate that this technique mitigated the location risk of an injection well and helped to maximize the oil swept of its vicinity. Furthermore, we discuss the required adaptations in the sparse-spike inversion workflow, and present the advantages of this approach when compared with conventional inversion results.Keywords: Inversion, resolution, broadband, pre-salt. RESUMOA identificação de camadas argilosas é crucial para o desenvolvimento de reservatórios do pre-sal. Elas atuam como barreira para o fluxo dos fluidos, comprometendo o retorno do investimento no projeto, caso sua espessura seja subavaliada. Esta questão se torna mais relevante no caso the camadas argilosas de pequena espessura. A solução para a caracterização de camadas finas é clássica: torna-se necessário aumentar a banda espectral do dado sísmico. O presente trabalho apresenta a metodologia e os primeiros resultados da incorporação de uma nova metodologia para geração de volumes de impedância de alta resolução. Nesta abordagem, os componentes de baixa e alta frequência do dado sísmico são recuperados através da aplicação de um processo de deconvolução iterativa (iterdec). Em seguida, este dado com banda espectral expandida é utilizado como entrada para uma inversão esparsa, resultando num volume de impedância acústica, que reduz as incertezas na interpretação de camadas argilosas de pouca espessura. Apresenta-se o estudo de caso de um reservatório do pre-sal para demonstrar a efetividade desta técnica na mitigação de risco associado ao posicionamento de um poço injetor, resultando na maximização da varredura de óleo em torno do poço. São apresentadas e discutidas as adaptações necessárias ao fluxo tradicional de inversão e condicionamento de dados sísmicos, bem como as vantagens da aplicação dessa metodologia sobre os resultados da inversão.Palavras-chave: Inversão, resolução, banda-larga, pre-sal.

scholarly journals High-frequency sound components of high-resolution audio are not detected in auditory sensory memory

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Hiroshi Nittono
Keyword(s):  
High Resolution ◽  
High Frequency ◽  
Sensory Memory ◽  
Common Belief ◽  
Digital Audio ◽  
Standard Format ◽  
Auditory Sensory Memory ◽  
Standard Quality ◽  
Frequency Components ◽  
The Difference

AbstractHigh-resolution digital audio is believed to produce a better listening experience than the standard quality audio, such as compact disks (CDs) and digital versatile disks (DVDs). One common belief is that high-resolution digital audio is superior due to the higher frequency (> 22 kHz) of its sound components, a characteristic unique to this audio. This study examined whether sounds with high-frequency components were processed differently from similar sounds without these components in the auditory cortex. Mismatch negativity (MMN), an electrocortical index of auditory deviance detection in sensory memory, was recorded in young adults with normal hearing (N = 38) using two types of white noise bursts: original sound and digitally filtered sound from which high-frequency components were removed. The two sounds did not produce any MMN response and could not be discriminated behaviourally. In conclusion, even if high-resolution audio is superior to the standard format, the difference is apparently not detectable at the cortical level.

Simulations of high-resolution images of amorphous silicon films

1986 ◽  
Vol 44 ◽  
pp. 544-545
Author(s):  
G. Y. Fan ◽  
J. M. Cowley
Keyword(s):  
Electron Microscope ◽  
High Frequency ◽  
Fourier Transformation ◽  
Amorphous Materials ◽  
Low Frequency ◽  
Chromatic Aberration ◽  
Structure Information ◽  
Frequency Components ◽  
High Resolution Images ◽  
Spatial Frequency Spectrum

It is well known that the structure information on the specimen is not always faithfully transferred through the electron microscope. Firstly, the spatial frequency spectrum is modulated by the transfer function (TF) at the focal plane. Secondly, the spectrum suffers high frequency cut-off by the aperture (or effectively damping terms such as chromatic aberration). While these do not have essential effect on imaging crystal periodicity as long as the low order Bragg spots are inside the aperture, although the contrast may be reversed, they may change the appearance of images of amorphous materials completely. Because the spectrum of amorphous materials is continuous, modulation of it emphasizes some components while weakening others. Especially the cut-off of high frequency components, which contribute to amorphous image just as strongly as low frequency components can have a fundamental effect. This can be illustrated through computer simulation. Imaging of a whitenoise object with an electron microscope without TF limitation gives Fig. 1a, which is obtained by Fourier transformation of a constant amplitude combined with random phases generated by computer.

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