Results 31 to 40 of about 103,799 (334)
A Logarithmic Quantization-Based Image Watermarking Using Information Entropy in the Wavelet Domain
Entropy, 2018 Conventional quantization-based watermarking may be easily estimated by averaging on a set of watermarked signals via uniform quantization approach. Moreover, the conventional quantization-based method neglects the visual perceptual characteristics of ...
Jinhua Liu, Shan Wu, Xinye Xu
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Quantization in Compressive Sensing: A Signal Processing Approach
IEEE Access, 2020 The influence of finite-length registers and the corresponding quantization effects on the reconstruction of sparse and approximately sparse signals from a reduced set of measurements is analyzed in this paper.
Isidora Stankovic +4 more
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Sensors, 2023 The measured signals of internal leakage detection of the large-diameter pipeline ball valve in natural gas pipeline systems usually contain background noise, which will affect the accuracy of internal leakage detection and sound localization of internal
Lingxia Yang +4 more
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Fronthaul Quantization as Artificial Noise for Enhanced Secret Communication in C-RAN
, 2017 This work considers the downlink of a cloud radio access network (C-RAN), in which a control unit (CU) encodes confidential messages, each of which is intended for a user equipment (UE) and is to be kept secret from all the other UEs.
Park, Seok-Hwan +2 more
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Estimation from quantized Gaussian measurements: when and how to use dither [PDF]
, 2019 Subtractive dither is a powerful method for removing the signal dependence of quantization noise for coarsely quantized signals. However, estimation from dithered measurements often naively applies the sample mean or midrange, even when the total noise ...
Dawson, Robin M. A. +2 more
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NSVQ: Noise Substitution in Vector Quantization for Machine Learning
IEEE Access, 2022 Machine learning algorithms have been shown to be highly effective in solving optimization problems in a wide range of applications. Such algorithms typically use gradient descent with backpropagation and the chain rule.
Mohammad Hassan Vali, Tom Backstrom
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Fixed Point Analysis Workflow for efficient Design of Convolutional Neural Networks in Hearing Aids
Current Directions in Biomedical Engineering, 2021 Neural networks (NN) are a powerful tool to tackle complex problems in hearing aid research, but their use on hearing aid hardware is currently limited by memory and processing power.
Klein Simon Christian +2 more
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Fully Quantized Neural Networks for Audio Source Separation
IEEE Open Journal of Signal ProcessingDeep neural networks have shown state-of-the-art results in audio source separation tasks in recent years. However, deploying such networks, especially on edge devices, is challenging due to memory and computation requirements.
Elad Cohen +3 more
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An Improved BAQ Encoding and Decoding Method for Improving the Quantized SNR of SAR Raw Data
Sensors, 2018 When the original echo data of SAR are saturated for quantization, the performance of the commonly used block adaptive quantization (BAQ) algorithm will be degraded, which will degrade the imaging quality.
Wei Ji +3 more
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The effect of signal digitisation in CMB experiments
, 2003 Signal digitisation may produce significant effects in balloon - borne or space CMB experiments, since the limited bandwidth for downlink of data requires imposes a large quantisation step q applied on board by the instrument acquisition chain.
Balbi +19 more
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