Keywords

Digital communications, Signal processing, Digital techniques, Speech processing systems, Computer simulation, Polar Fourier transform, Spectral magnitude-phase coding, Inter-frame correlation, Narrowband speech coding, Channel noise robustness

Abstract

Polar Spectrum Coding is a novel speech coding algorithm for narrowband voice communications. A polar Fourier transform of the signal is computed, and the magnitude and phase of the speech spectrum is encoded for transmission. The correlation between frames of speech signals is exploited to minimize the transmission rate required for intelligible speech. At the receiver, the encoded words are decoded and the spectrum reconstructed. An inverse Fourier transform is performed, and the result is the reconstructed speech waveform. Polar Spectrum Coding theory is explained. The sensitivities of various parameters on performance are explored, and performance in the presence of channel noise is measured. Directions for future research in the realm of Polar Spectrum Coding is suggested.

Notes

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Graduation Date

1988

Semester

Spring

Advisor

Alsaka, Yacoub

Degree

Master of Science (M.S.)

College

College of Engineering

Format

PDF

Pages

136 pages

Language

English

Rights

Public Domain

Length of Campus-only Access

None

Access Status

Masters Thesis (Open Access)

Location

Orlando (Main) Campus

Identifier

DP0022607

Subjects

Speech processing systems--Research; Compressed speech; Spectrum analysis--Technique; Spectrum analysis--Data processing; Coding theory

Accessibility Status

Searchable text

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Engineering Commons

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