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custom wavelet denoising algorithm  (MathWorks Inc)


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    MathWorks Inc custom wavelet denoising algorithm
    Custom Wavelet Denoising Algorithm, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/wavelet+denoising+algorithm/pm39103114-215-6-13
    Average 90 stars, based on 1 article reviews
    custom wavelet denoising algorithm - by Bioz Stars, 2026-09
    90/100 stars

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    other:

    Article Title: Adenosine-Dependent Arousal Induced by Astrocytes in a Brainstem Circuit.
    Article Snippet: To remove the recording noise and improve the signal-to-noise ratio, the wavelet denoising function in MATLAB was used to reveal the fluctuation of signals during sleep-wake cycles.

    Article Title: Human–Machine Interaction via Dual Modes of Voice and Gesture Enabled by Triboelectric Nanogenerator and Machine Learning
    Article Snippet: As shown in Figure f,g, the sound waves of the recovered music are a little different from those of the original music because we used wavelet denoising by MATLAB to remove the burr signal from the waveform ( Figure S8 ) and converted the signal into a waveform audio file through MATLAB.

    Article Title: Adenosine‐Dependent Arousal Induced by Astrocytes in a Brainstem Circuit
    Article Snippet: To remove the recording noise and improve the signal‐to‐noise ratio, the wavelet denoising function in MATLAB was used to reveal the fluctuation of signals during sleep‐wake cycles.

    Article Title: Topography and ensemble activity in auditory cortex of a mouse model of Fragile-X-Syndrome
    Article Snippet: To rescale ROI fluorescence traces and 383 neuropil traces, first a wavelet-denoising was carried out by utilizing the MATLAB function 384 ‘wdenoise’ (Wavelet Toolbox, MATLAB 2022a).

    Article Title: Optimized identification of cheese products based on Raman spectroscopy and an extreme learning machine
    Article Snippet: Rapid and intelligent identification of similar samples is an important technical aid for food quality and safety assessment.. At present, relevant research studies are still relatively scarce.. In this paper, Raman spectra of different brands of cheese products with different integration times were collected and analyzed statistically.

    Article Title: Raman Spectra-based Structural Classification Analysis of Flavones, Flavonols, and Isoflavones Using Machine Learning
    Article Snippet: Background: Different C-3 substituted flavonoids have different biological activities and applications in food pharmacology, toxicology, and medicine.. Thus, the rapid identification and classification of substitution patterns at C-3 of flavonoids can benefit the processing of flavonoid-related

    Article Title: Microseismic activity characteristics and range evaluation of hydraulic fracturing in coal seam
    Article Snippet: Accurately evaluating hydraulic fracturing (HF) activity characteristics and impact range is critical to optimizing the HF scheme design.. This study proposes an adaptive threshold peak detection method and a wavelet transform-support vector machine (WT-SVM) polarity analysis method based on microseismic (MS) monitoring data from a coal mine in Guizhou, China.. The results show that the adaptive threshold peak detection method effectively improves the accuracy and stability of the P-wave initial arrival pickup for low signal-to-noise ratio (SNR) signals.

    Preserving:

    Article Title: A free intravesicular C-terminal of otoferlin is essential for synaptic vesicle docking and fusion at auditory inner hair cell ribbon synapses.
    Article Snippet: .. Tomographic slices were processed with a custom wavelet denoising algorithm implemented in Matlab (Mathworks), to reduce the noise while preserving fine details. ..



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