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Noise reduction

Known as: Dynamic Noise Limiter, DNL, Audio noise reduction 
Noise reduction is the process of removing noise from a signal. All recording devices, both analog and digital, have traits that make them… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
IEEE 802.11bd & 5G NR V2X: Evolution of Radio Access Technologies for V2X Communications
With the rising interest in autonomous vehicles, developing radio access technologies (RATs) that enable reliable and low-latency… Expand
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Review
2019
Review
2019
5G New Radio: Unveiling the Essentials of the Next Generation Wireless Access Technology
The fifth generation (5G) wireless access technology, known as New Radio (NR), will address a variety of usage scenarios from… Expand
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Highly Cited
2010
Highly Cited
2010
Noise Adaptive Fuzzy Switching Median Filter for Salt-and-Pepper Noise Reduction
This letter presents a novel two-stage noise adaptive fuzzy switching median (NAFSM) filter for salt-and-pepper noise detection… Expand
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Highly Cited
2009
Highly Cited
2009
Noise reduction of NDVI time series: An empirical comparison of selected techniques
Satellite-derived NDVI time series are fundamental to the remote sensing of vegetation phenology, but their application is… Expand
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Highly Cited
2006
Highly Cited
2006
New insights into the noise reduction Wiener filter
The problem of noise reduction has attracted a considerable amount of research attention over the past several decades. Among the… Expand
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Highly Cited
2005
Highly Cited
2005
A non-local algorithm for image denoising
We propose a new measure, the method noise, to evaluate and compare the performance of digital image denoising methods. We first… Expand
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Highly Cited
2003
Highly Cited
2003
Noise reduction by fuzzy image filtering
A new fuzzy filter is presented for the noise reduction of images corrupted with additive noise. The filter consists of two… Expand
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Highly Cited
2001
Highly Cited
2001
Noise Reduction by Wavelet Thresholding
Wavelets and wavelet thresholding.- The minimum mean squared error threshold.- Estimating the minimum MSE threshold… Expand
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Highly Cited
1996
Highly Cited
1996
Advanced Signal Processing and Digital Noise Reduction
Introduction to Signal Processing and Noise Reduction Stochastic Processes and Statistical Characterization of Signals Signal… Expand
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Highly Cited
1996
Highly Cited
1996
Noise reduction using an undecimated discrete wavelet transform
A new nonlinear noise reduction method is presented that uses the discrete wavelet transform. Similar to Donoho (1995) and… Expand
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