Masters Theses

Abstract

"The thesis is divided into two main sections. First half describes the implementation of different adaptive beamforming techniques. Adaptive beamforming techniques are widely used in many real world applications like teleconferencing, speech recognition, devices for the hearing impaired, radar, sonar, etc. The beamformer is an array of sensors which can be electronically steered to any particular direction to enhance the signal in the direction of interest while at the same time suppressing interference or jammers coming from other directions.

In our experiment, we implement both the regularized minimum variance distortionless receiver (MVDR) and the generalized sidelobe canceller (GSC). The beamforming is performed on the input data which are simulated for both reverberant and non-reverberant environments and also on real data collected using a linear microphone array. The results show a significant improvement in the output SNR for the beamformers compared to that of a single microphone.

We present the Immersive Audio Environment (IAE), an easily constructible and portable structure which is capable of 3-D sound auralization with very high spatial resolution. A novel method for acoustically positioning loudspeakers in space, which is required by the IAE for simulation of sound sources, is presented. Our contribution is the creation of a system that uses existing and modifications of existing techniques; Vector Based Amplitude Panning (VBAP), in order to recreate an audio battle environment"--Abstract, page iii.

Advisor(s)

Grant, Steven L.

Committee Member(s)

Kosbar, Kurt Louis
Moss, Randy Hays, 1953-

Department(s)

Electrical and Computer Engineering

Degree Name

M.S. in Electrical Engineering

Publisher

Missouri University of Science and Technology

Publication Date

2012

Pagination

ix, 51 pages

Note about bibliography

Includes bibliographical references (pages 48-50).

Rights

© 2012 Jayasecha Raghavendra Nimmala, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Subject Headings

Beamforming
Adaptive signal processing
Microphone arrays

Thesis Number

T 10063

Print OCLC #

830005605

Electronic OCLC #

908943484

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