Results 31 to 40 of about 161,991 (287)

Fuzzy rule based multiwavelet ECG signal denoising [PDF]

open access: yes, 2008
Since different multiwavelets, pre- and post-filters have different impulse responses and frequency responses, different multiwavelets, pre- and post-filters should be selected and applied at different noise levels for signal denoising if signals are ...
Chan, Yick-Po   +5 more
core   +1 more source

SVDD-Based Pattern Denoising [PDF]

open access: yesNeural Computation, 2007
The support vector data description (SVDD) is one of the best-known one-class support vector learning methods, in which one tries the strategy of using balls defined on the feature space in order to distinguish a set of normal data from all other possible abnormal objects.
Park, Jooyoung   +4 more
openaire   +3 more sources

A Preprocessing Strategy for Denoising of Speech Data Based on Speech Segment Detection

open access: yesApplied Sciences, 2020
In this paper, we propose a preprocessing strategy for denoising of speech data based on speech segment detection. A design of computationally efficient speech denoising is necessary to develop a scalable method for large-scale data sets. Furthermore, it
Seung-Jun Lee, Hyuk-Yoon Kwon
doaj   +1 more source

Denoising of Image Gradients and Total Generalized Variation Denoising [PDF]

open access: yesJournal of Mathematical Imaging and Vision, 2018
We revisit total variation denoising and study an augmented model where we assume that an estimate of the image gradient is available. We show that this increases the image reconstruction quality and derive that the resulting model resembles the total generalized variation denoising method, thus providing a new motivation for this model.
Komander, Birgit   +2 more
openaire   +3 more sources

Content adaptive wavelet based method for joint denoising of depth and luminance images [PDF]

open access: yes, 2007
In this paper we present a new method for joint denoising of depth and luminance images produced by time-of-flight camera. Here we assume that the sequence does not contain outlier points which can be present in the depth images.
Jovanov, Ljubomir   +3 more
core   +1 more source

Similarity and denoising [PDF]

open access: yesPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2013
We can discover the effective similarity among pairs of finite objects and denoise a finite object using the Kolmogorov complexity of these objects. The drawback is that the Kolmogorov complexity is not computable. If we approximate it, using a good real-world compressor, then it turns out that on natural data the processes give adequate results in ...
openaire   +4 more sources

Data-Driven Tight Frame for Cryo-EM Image Denoising and Conformational Classification

open access: yes, 2018
The cryo-electron microscope (cryo-EM) is increasingly popular these years. It helps to uncover the biological structures and functions of macromolecules. In this paper, we address image denoising problem in cryo-EM. Denoising the cryo-EM images can help
Cai, Jian-Feng   +6 more
core   +1 more source

Research on adaptive modulus maxima selection of wavelet modulus maxima denoising

open access: yesThe Journal of Engineering, 2018
Microelectromechanical system (MEMS) accelerometers are small in size, low in power consumption and easily integrated. They can be used in intelligent hydraulic components to obtain the dynamic acceleration of the system and monitor the operating status ...
Wensi Ding, Zhiguo Li
doaj   +1 more source

Video Denoising and Enhancement via Dynamic Video Layering

open access: yes, 2017
Video denoising refers to the problem of removing "noise" from a video sequence. Here the term "noise" is used in a broad sense to refer to any corruption or outlier or interference that is not the quantity of interest.
Guo, Han, Vaswani, Namrata
core   +1 more source

3D Point Cloud Denoising via Deep Neural Network based Local Surface Estimation

open access: yes, 2019
We present a neural-network-based architecture for 3D point cloud denoising called neural projection denoising (NPD). In our previous work, we proposed a two-stage denoising algorithm, which first estimates reference planes and follows by projecting ...
Chen, Siheng   +2 more
core   +1 more source

Home - About - Disclaimer - Privacy