Denoising Non-stationary Signals by Dynamic Multivariate Complex Wavelet Thresholding

Kim C. Raath; Katherine B. Ensor; David W. Scott; Alena Crivello

doi:10.2139/ssrn.3528714

ScienceGate Book Chapters

JOURNAL ARTICLE

Denoising Non-stationary Signals by Dynamic Multivariate Complex Wavelet Thresholding

Kim C. Raath Katherine B. Ensor David W. Scott Alena Crivello

Year: 2020 Journal: SSRN Electronic Journal Publisher: RELX Group (Netherlands)

DOI: 10.2139/ssrn.3528714

Get Full-Text PDF Get Analytical Report

Keywords:

Thresholding Wavelet Pattern recognition (psychology) Multivariate statistics Artificial intelligence Noise reduction Computer science Mathematics Statistics Image (mathematics)

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image Fusion Techniques

Physical Sciences → Engineering → Media Technology

Complex Systems and Time Series Analysis

Social Sciences → Economics, Econometrics and Finance → Economics and Econometrics

Denoising Non-stationary Signals by Dynamic Multivariate Complex Wavelet Thresholding

Metrics

Citation History

Topics

Related Documents

Denoising Non-Stationary Signals via Dynamic Multivariate Complex Wavelet Thresholding

Denoising complex background radar signals based on wavelet decomposition thresholding

Myopotential denoising of ECG signals using wavelet thresholding methods

Comparison of Wavelet Thresholding Methods for Denoising ECG Signals

Denoising radar signals using complex wavelet