Adaptive noise cancellation in a duct using digital signal processing
Date of Publication
1997
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Electronics and Communications Engineering
Subject Categories
Engineering
College
Gokongwei College of Engineering
Department/Unit
Electronics and Communications Engineering
Abstract/Summary
Adaptive Noise Cancellation in a Duct Using Digital Signal Processing utilizes active noise reduction techniques, using loudspeakers to lessen noise coming from a sound source through the use of Digital Signal Processing. However, the system reduces noise levels up to a certain extent only. The thesis is an applied research on active reduction systems. It includes a prototype of a 5-ft PVC tube, simulating the effect of noise canceling in a duct to test its efficacy. The prototype nonetheless is limited to sounds generally encountered in ducts and air ventilation systems like sounds produced by the flow of air, machineries, fans, compressors, etc. which generally have low frequencies. It focuses on noise patterns of about 70 to about 700Hz. The project's success is based on subjective listening and on measuring the difference in noise levels (using a decibel noise level meter, volt meter, and a computer display of the sound waves that our system would pick up). The average decibel readings on the instruments are used to generate the results. Computer software simulation was also used to show and prove Active/Adaptive Noise Cancellation.
Abstract Format
html
Language
English
Format
Accession Number
TU07853
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
115 numb. leaves ; Computer print-out.
Keywords
Signal processing--Digital techniques; Noise control; Digital electronics; Adaptive signal processing; Soundproofing
Recommended Citation
Escalante, H., Gendrano, J., Viola, R., & Zosa, B. (1997). Adaptive noise cancellation in a duct using digital signal processing. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/8868