Adaptive noise cancellation in a duct using digital signal processing

• Main Authors: Escalante, Herman Hombrey, Gendrano, Joseph Ian, Viola, Rainiel, Zosa, Bernardo
• Format: text
• Language: English
• Published: Animo Repository 1997
• Subjects: Signal processing > Digital techniques; Noise control; Digital electronics; Adaptive signal processing; Soundproofing; Engineering
• Online Access: https://animorepository.dlsu.edu.ph/etd_bachelors/8868
• Institution: De La Salle University

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.