Results 171 to 180 of about 41,621 (188)
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"AWGN"-signal transmission in hyperbolic spaces
Proceedings. International Symposium on Information Theory, 2005. ISIT 2005., 2005We introduce and discuss the concept of Gaussian probability density function (pdf) for the n-dimensional hyperbolic space which has been proposed as an environment for coding and decoding signals. An upper bound for the error probability of signal transmission associated with the hyperbolic distance is established.
E. Agustini, S.I.R. Costa
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An adaptive non-AWGN SSMA receiver
IEEE Communications Magazine, 2002This article deals with the issue of optimum detection of a known spread spectrum (SS) signal in nonwhite noise and/or narrowband interference. Prior to detection, the input signal is whitened according to the reciprocal of an interfering spectrum, I(z)=1/AG(z).
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Accumulate rateless codes for AWGN channel
2008 Third International Conference on Communications and Networking in China, 2008We think about the problem of reliable transmission of information over AWGN channels using rateless codes. We introduce a new family of rateless codes, named the accumulate rateless (AR) codes, which is easy to construct as traditional LT codes but has better performance and lower complexity.
null Kedi Wu +3 more
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Dynamic spectral subtraction on AWGN speech
2015 2nd International Conference on Signal Processing and Integrated Networks (SPIN), 2015To enable accurate exchange of information or data, the quality and intelligibility of speech play an important factor. However, pragmatically the quality of speech is distorted by the presence of background noise. This in turn leads to poor performance of the system as well as causes listener fatigue.
Sukanya Sagarika Meher, T Ananthakrishna
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AWGN Performance of Superorthogonal Convolutional Codes
MILCOM 2006, 2006The bit error rate performance of superorthogonal convolutional codes is examined for the AWGN channel with an emphasis on graphical error rate curves. The little-noticed generalization of the class of superorthogonal codes that allows for more parameter combinations is examined and found to have error rate performance than is primarily a function of ...
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RA Codes Achieve AWGN Channel Capacity
1999In ref. [3] we introduced a simplified ensemble of serially concatenated "turbo-like" codes which we called repeat-accumulate, or RA codes. These codes are very easy to decode using an iterative decoding algorithm derived from belief propagation on the appropriate Tanner graph, yet their performance is scarcely inferior to that of full-fledged turbo ...
Jin, Hui, McEliece, Robert J.
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Image distortion IN AWGN communication channel
2012 Ninth International Conference on Wireless and Optical Communications Networks (WOCN), 2012The effect of channel bit error rate on the distortion of the image transmitted on an AWGN channel has been considered and a statistical relationship between the two has been presented and verified by simulation.
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Transmission through band limited AWGN channels
2014This chapter deals with the constraints set on symbol rate (i.e. how many pules we transmit per second) by the finite bandwidth of the transmission system or channel, and with the constraints set on bit rate and signal power by the noisiness of the transmission channel.
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Precoded Kite codes for the AWGN channel
2013 International Conference on Wireless Communications and Signal Processing, 2013We propose a simple and effective method to improve the performance over the binary-input additive white Gaussian noise (BIAWGN) channel of semi-random Kite (SR-Kite) codes which are a kind of rateless codes. We apply the precoding technique to semi-random Kite codes, termed precoded Kite codes.
null Min Zhu +3 more
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Polar coding schemes for the AWGN channel
2011 IEEE International Symposium on Information Theory Proceedings, 2011This paper investigates polar coding schemes achieving capacity for the AWGN channel. The approaches using a multiple access channel with a large number of binary-input users and a single-user channel with a large prime-cardinality input are compared with respect to complexity attributes.
Emmanuel Abbe, Andrew Barron
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