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Subband adaptive filters have been used extensively in system modeling configurations to model unknown systems with large impulse responses. This paper will illustrate the advantages of a non-uniform subband adaptive filter over a uniform subband adaptive filter while giving insight to subband bandwidth allocations for system modeling configurations. By(More)
—Biometrics is an emerging field of technology using unique and measurable physical, biological, or behavioral characteristics that can be processed to identify a person. biometric signal processing course for senior-level undergraduate students and has developed a biometrics lab to support this course. In this paper, the authors present the course content,(More)
Nonuniform filterbanks have recently been proposed for subband adaptive filters (SAFs). However, nonuniform SAFs have not yet been given a thorough performance analysis. This paper gives a comprehensive mean square error (MSE) analysis of system modeling, nonuniform (and, degeneratively, uniform) SAFs after convergence for a specified filterbank. Using the(More)
Subband adaptive filters (SAFs) have gained widespread use in key applications such as echo cancellation, system identification, and equalization. SAFs are normally constrained to utilize uniform filterbanks. However, it has been recently proposed that nonuniform filterbanks can give additional flexibility to SAFs that may be used to increase performance. A(More)
The authors have developed a teaching model which includes theory, demonstrations, lab exercises, and real-time DSP experience using MATLAB and the Texas Instruments C6711 digital signal processing starter kit. This paper describes specific demonstrations' that can be used as part of this model.