Investigating the effect of error correcting codes on the compressed speech signals

Joint Authors

Qaradaghi, Thurayya Mahmud
Husayn, Diyana Haydar
Faik, Fatimah Kamil

Source

ZANCO Journal of Pure and Applied Sciences

Publisher

Salahaddin University-Erbil Department of Scientific Publications

Publication Date

2016-06-30

Country of Publication

Iraq

No. of Pages

7

Main Subjects

Electronic engineering

English Abstract

Data compression algorithms are designed to reduce the size of data so that it requires less bandwidth to be transmitted over data communication channels of limited bandwidth, and error correcting codes are used for increasing the robustness against channel impairments (noise, interference, fading, ..).

This paper presents a performance evaluation of a communication system including a Wavelet based speech coder, which is implemented to compress the speech signal size.

A significant advantage of using wavelets for speech coding is that the compression ratio can easily be varied, and the obtained signal to noise ratio is extremely high.

The compressed speech signal has been converted to a binary and encoded with Error correcting codes.

Convolutional and Reed Solomon codes have been used as an error correcting code to detect and correct the errors at the receiver side, and interleaving used with the Convolutional codes in order to increase the capability of error detection and correction.

The system has been tested for convolutional codes with two different code rate values (1/2 and 2/3), and these two values are compatible with the type of modulations that have been used (4-QAM and 8-QAM).

Finally it has been concluded that adding error correcting codes improves the system performance by approximately 3.7 to 5.9 dBs.

Data Type

Conference Papers

Record ID

BIM-786744

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