Signal Restoration with Fractional Transform Sparse Representation and Autoencoder-Reference-Cited by-同舟云学术

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Signal Restoration with Fractional Transform Sparse Representation and Autoencoder

Published:2023-08-15 Issue: Volume: Page:
ISSN:
Container-title:2023 9th International Conference on Computer and Communication Engineering (ICCCE)
language:
Short-container-title:

Author:

Saxena Shivani¹,Mistry Surbhi²,Patel Nilesh¹,Roy Mohendra³,Rizvi Ahsan Z.¹

Affiliation:

1. Institute of Advanced Research,Computer Sciences and Engineering,Gandhinagar,India

2. Institute of Advanced Research,Biotechnology and Bioengineering,Gandhinagar,India

3. Pandit Deendayal Energy University,Information and Communication Technology,Gandhinagar,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10246011/10246027/10246107.pdf?arnumber=10246107

Reference36 articles.

1. Novel Fractional Wavelet Packet Transform: Theory, Implementation, and Applications

2. DeepRTSNet: Deep Robust Two-Stage Networks for ECG Denoising in Practical Use Case

3. An Automated GPR Signal Denoising Scheme Based on Mode Decomposition and Principal Component Analysis

4. Attention-Based Convolutional Denoising Autoencoder for Two-Lead ECG Denoising and Arrhythmia Classification

5. The Fractional Sallen-Key Filter Described by Local Fractional Derivative

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