Results 91 to 100 of about 36,871 (305)
Signal denoising using the minimum-probability-of-error criterion
, 2020 We consider signal denoising via transform-domain shrinkage based on a novel risk criterion called the minimum probability of error (MPE), which measures the probability that the estimated parameter lies outside an epsilon-neighborhood of the true value.
Mukherjee, Subhadip, +2 more
core +1 more source
Advanced Robotics Research, EarlyView.Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar +8 more
wiley +1 more source
Denoising by multiwavelet singularity detection [PDF]
, 2003 Wavelet denoising by singularity detection was proposed as an algorithm that combines Mallat and Donoho's denoising approaches. With wavelet transform modulus sum, we can avoid the error and ambiguities of tracing the modulus maxima across scales and the
Ho, CYF +5 more
core +1 more source
Entropy, 2018 Owing to the problems that imperfect decomposition process of empirical mode decomposition (EMD) denoising algorithm and poor self-adaptability, it will be extremely difficult to reduce the noise of signal.
Guohui Li, Qianru Guan, Hong Yang
doaj +1 more source
Advanced Science, EarlyView.We demonstrated that high humidity worsened psoriasis relapse in murine psoriasiform skin inflammation by increasing skin‐resident memory CD8+ cells via upregulating IL‐15Rα on keratinocytes. The increases in IL‐15Rα and memory CD8+ cells were attributed to S. nepalensis and its metabolite ADMA in skin exposed to high humidity.
Chun‐Ling Liang +10 more
wiley +1 more source
Filtered Variation method for denoising and sparse signal processing [PDF]
We propose a new framework, called Filtered Variation (FV), for denoising and sparse signal processing applications. These problems are inherently ill-posed.
Cetin, A. Enis +2 more
core +1 more source
Signal Processing Methods for Genomic Sequence Analysis [PDF]
, 2007 Signal processing is the art of representing, transforming, analyzing, and manipulating signals. It deals with a wide range of signals, from speech and audio signals to images and video signals, and many others.
Yoon, Byung-Jun
core +1 more source
Detrended fluctuation thresholding for empirical mode decomposition based denoising
, 2021 Signal decompositions such as wavelet and Gabor transforms have successfully been applied in denoising problems. Empirical mode decomposition (EMD) is a recently proposed method to analyze non-linear and non-stationary time series and may be used for ...
Mert, Ahmet, Akan, Aydin
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Advanced Science, EarlyView.ABSTRACT Acute pancreatitis (AP) begins with pancreatic local inflammation, leading to the onset of systemic inflammatory response syndrome (SIRS), followed by compensatory anti‐inflammatory response syndrome (CARS), which causes immune paralysis and higher mortality rate.
Liwei Liu +15 more
wiley +1 more source
Denoising Techniques Based on the Multiresolution Representation [PDF]
So far, considerable research efforts have been invested in the are of using statistical methods for image processing purposes yielding to a significant amount of models that aim to improve as much as possible the still existing and currently used ...
Viorica STEFANESCU +3 more
core +1 more source