DocumentCode :
3043523
Title :
Frequency domain data transmission using reduced computational complexity algorithms
Author :
Peled, Abraham ; Ruiz, Antonio
Author_Institution :
IBM T.J. Watson Research Center, Yorktown Heights, N.Y.
Volume :
5
fYear :
1980
fDate :
29312
Firstpage :
964
Lastpage :
967
Abstract :
In this paper we describe a frequency domain data transmission method to be used for digital data transmission over analog telephone lines which exploits recently derived reduced computational complexity algorithms, such as the Winograd Fourier Transform, to achieve a significantly lower computational rate than comparable time domain QAM modems implemented digitally using signal processing techniques. In addition to the lower computational rate, the proposed method also allows for better channel bandwidth utilization by allowing optimal signal power allocation based on the channel´s signal to noise versus frequency characteristics. Experimental results on this method are presented, indicating that it may be possible to send over 10,000 BPS over an unconditioned telephone line while maintaining a 10-5BER.
Keywords :
Analog computers; Computational complexity; Data communication; Digital signal processing; Fourier transforms; Frequency domain analysis; Modems; Quadrature amplitude modulation; Signal processing algorithms; Telephony;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '80.
Type :
conf
DOI :
10.1109/ICASSP.1980.1171076
Filename :
1171076
Link To Document :
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