Results 31 to 40 of about 161,991 (287)
Fuzzy rule based multiwavelet ECG signal denoising [PDF]
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]
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
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]
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]
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]
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
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
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
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
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

