Design of Sparse Cosine-Modulated Filter Banks Using BP Neural Network-Reference-Cited by-同舟云学术

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Design of Sparse Cosine-Modulated Filter Banks Using BP Neural Network

Published:2018-09-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 International Conference on Electronics and Electrical Engineering Technology
language:
Short-container-title:

Author:

Xu Wei¹,Li Yi¹,Miao Jinghong¹,Zhao Jiaxiang²

Affiliation:

1. The School of Electronics and Information Engineering Tianjin Polytechnic University, Tianjin, China, Tianjin Key Laboratory of Optoelectronic Detection Technology and System, CHN

2. The College of Electronic Information and Optical Engineering, Nankai University, Tianjin, China, CHN

Funder

the Nature Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3277453.3277460

Reference13 articles.

1. Deep Filter Banks for Land-Use Scene Classification

2. Multichannel loudness compensation method based on segmented sound pressure level for digital hearing aids

3. New Models for the Calibration of Four-Channel Time-Interleaved ADCs Using Filter Banks

4. Digital Affine Shear Filter Banks With 2-Layer Structure and Their Applications in Image Processing

5. Identification of Inter-Area Oscillations Using Zolotarev Polynomial Based Filter Bank With Eigen Realization Algorithm

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