Adaptive system identification paradigims and air duct system identification

• Main Authors: Nagi F., Li L.S.
• Other Authors: 56272534200
• Format: Conference Paper
• Published: 2023
• Subjects: Adaptive filtering; Digital signal processing; System identification; Adaptive filters; Adaptive systems; Biomedical engineering; MATLAB; Signal processing; Active noise cancellation; Adaptive system identification; Air ducts; Duct systems; Hardware and software; Programming language; Secondary paths; Source codes; Texas Instruments

The paper discusses and evaluates identification paradigms in conjunction with different hardware and software techniques. Texas Instrument (TI) C6x DSP and Matlab are used to evaluate and select the source code and programming language for the purpose. The selected paradigm is then used for the duc...