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1	Capacity of Communications Channels with 1-Bit Quantization and Oversampling at the Receiver Krone, Stefan, Fettweis, Gerhard 25 January 2013 (has links) (PDF) Communications receivers that rely on 1-bit analogto-digital conversion are advantageous in terms of hardware complexity and power dissipation. Performance limitations due to the 1-bit quantization can be tackled with oversampling. This paper considers the oversampling gain from an information-theoretic perspective by analyzing the channel capacity with 1-bit quantization and oversampling at the receiver for the particular case of AWGN channels. This includes a numerical computation of the capacity and optimal transmit symbol constellations, as well as the derivation of closed-form expressions for large oversampling ratios and for high signal-to-noise ratios of the channel. Quantisierung Receiver Überabtastung AWGN-Kanäle Sonderforschungsbereich 912 Hochadaptive Energieeffiziente Systeme HAEC Quantization Receivers Oversampling AWGN channels Collaborative Research Centre 912 ddc:620 ddc:621.3 rvk:ZN 6100
2	Communications with 1-Bit Quantization and Oversampling at the Receiver: Benefiting from Inter-Symbol-Interference Krone, Stefan, Fettweis, Gerhard 25 January 2013 (has links) (PDF) 1-bit analog-to-digital conversion is very attractive for low-complexity communications receivers. A major drawback is, however, the small spectral efficiency when sampling at symbol rate. This can be improved through oversampling by exploiting the signal distortion caused by the transmission channel. This paper analyzes the achievable data rate of band-limited communications channels that are subject to additive noise and inter-symbol-interference with 1-bit quantization and oversampling at the receiver. It is shown that not only the channel noise but also the inter-symbol-interference can be exploited to benefit from oversampling. AWGN-Kanäle Transinformation Quantisierung Receiver Signal-Rausch-Verhältnis Vektoren Sonderforschungsbereich 912 HAEC Hochadaptive Energieeffiziente Systeme AWGN channels Mutual information Quantization Receivers Signal to noise ratio Vectors Collaborative Research Centre 912 ddc:620 ddc:621.3 rvk:ZN 6100
3	Capacity of Communications Channels with 1-Bit Quantization and Oversampling at the Receiver Krone, Stefan, Fettweis, Gerhard January 2012 (has links) Communications receivers that rely on 1-bit analogto-digital conversion are advantageous in terms of hardware complexity and power dissipation. Performance limitations due to the 1-bit quantization can be tackled with oversampling. This paper considers the oversampling gain from an information-theoretic perspective by analyzing the channel capacity with 1-bit quantization and oversampling at the receiver for the particular case of AWGN channels. This includes a numerical computation of the capacity and optimal transmit symbol constellations, as well as the derivation of closed-form expressions for large oversampling ratios and for high signal-to-noise ratios of the channel. info:eu-repo/classification/ddc/620 ddc:620 info:eu-repo/classification/ddc/621.3 ddc:621.3
4	Communications with 1-Bit Quantization and Oversampling at the Receiver: Benefiting from Inter-Symbol-Interference Krone, Stefan, Fettweis, Gerhard January 2012 (has links) 1-bit analog-to-digital conversion is very attractive for low-complexity communications receivers. A major drawback is, however, the small spectral efficiency when sampling at symbol rate. This can be improved through oversampling by exploiting the signal distortion caused by the transmission channel. This paper analyzes the achievable data rate of band-limited communications channels that are subject to additive noise and inter-symbol-interference with 1-bit quantization and oversampling at the receiver. It is shown that not only the channel noise but also the inter-symbol-interference can be exploited to benefit from oversampling. info:eu-repo/classification/ddc/620 ddc:620 info:eu-repo/classification/ddc/621.3 ddc:621.3

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