Date of Publication

2004

Document Type

Master's Thesis

Degree Name

Master of Science in Electronics and Communications Engineering

College

Gokongwei College of Engineering

Department/Unit

Electronics and Communications Engineering

Thesis Adviser

Edwin C. Sybingco

Defense Panel Chair

Enrique M. Manzano

Defense Panel Member

Analene M. Nagayo
Marvil V. Graza

Abstract/Summary

This study evaluates the performance of an echo canceller structure that employs two switched adaptive filter algorithms: the Fast Affine Projection (FAP) and the Normalized Least Mean Square (NLMS). The evaluation validates the observation that convergence rate of the FAP and the NLMS are comparable at error coefficients below -15dB. This observation suggests a new algorithm that initially employs an FAP and later switches to NLMS. This new structure presents comparable convergence rate as the FAP but with lower computational overhead. The new algorithm is implemented on Texas Instrument's TMS320C542 DSP starter kit (DSK) and evaluated against the NLMS and FAP algorithms in terms of echo return loss, convergence rate, and computational cost using simulated sources and echo paths. Using this new structure, acoustic and line echo cancellation, which is necessary in most telecommunications applications, can be implemented with improved convergence and lower computational overhead freeing processor resources for other tasks.

Abstract Format

html

Note

Title on screen.

Language

English

Format

Electronic

Accession Number

CDTG003681

Shelf Location

Archives, The Learning Commons, 12F Henry Sy Sr. Hall

Keywords

Switching theory; Algorithms; Adaptive signal processing; Adaptive filters

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