Application-Specific Integrated Circuit of an Inter-IC Sound Digital Filter for Audio Systems
-
Published:2023-07-14
Issue:14
Volume:13
Page:8182
-
ISSN:2076-3417
-
Container-title:Applied Sciences
-
language:en
-
Short-container-title:Applied Sciences
Author:
Davila-Velarde Rene1, Ramos-Contreras Ricardo1, Pizano-Escalante Luis1, Longoria-Gandara Omar1ORCID, Aguilera-Galicia Cuauhtémoc1
Affiliation:
1. Department of Electronics, Systems and IT, ITESO, Tlaquepaque 45604, JAL, Mexico
Abstract
In digital audio systems, filters and equalizers are essential modules for audio improvement at the input and output stages. Due to their computational complexity, most audio tasks are processed with digital signal processors. Due to the fact that latency in audio systems is a critical specification and audio trends require higher sample rates, noise canceling, and bigger data sizes, having an independent high-resolution equalizer would reduce the computational power needed for audio systems. This research had the goal of designing and implementing a hardware architecture for a configurable filter bank based on finite impulse response (FIR) filters and a noise-cancellation stage with an inter-integrated circuit (I2C) communication interface, which allows the filter configuration. The system was implemented as a standalone integrated circuit (IC) for which its inputs were the inter-IC sound (I2S) bus control signals. The digital audio system was optimized to perform one-cycle convolutional operations by implementing a vector–vector arithmetic logic unit. Furthermore, this applied research provides the register transfer level description and the functional verification of the digital design, the system-on-chip (SoC) implementation in TSMC 180 nm technology, and the post-silicon validation with a printed circuit board for testing the output digital signals of the system.
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Reference11 articles.
1. Pepe, G., Gabrielli, L., Squartini, S., and Cattani, L. (2020). Designing Audio Equalization Filters by Deep Neural Networks. Appl. Sci., 10. 2. Kwon, S., Kim, B.-S., and Park, J. (2022). Active Noise Reduction with Filtered Least-Mean-Square Algorithm Improved by Long Short-Term Memory Models for Radiation Noise of Diesel Engine. Appl. Sci., 12. 3. Lee, S.-K., An, K., Cho, H.-Y., and Hwang, S.-U. (2019). Prediction and Sound Quality Analysis of Tire Pattern Noise Based on System Identification by Utilizing an Optimal Adaptive Filter. Appl. Sci., 9. 4. Singh, G., and Panda, G. (2015, January 15–17). A novel ANC system using nonlinear error LMS algorithm. Proceedings of the 2015 IEEE Power, Communication and Information Technology Conference (PCITC), Bhubaneswar, India. 5. Gupta, D.K., Gupta, V.K., Chandra, M., Mishra, A.N., and Srivastava, P.K. (2019, January 18–19). Hardware Co-Simulation of Adaptive Noise Cancellation System using LMS and Leaky LMS Algorithms. Proceedings of the 2019 4th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU), Ghaziabad, India.
|
|