Abstract: For “Super Audio CD” (SACD) the DSD signals are losslessly coded, using framing, prediction and entropy coding. Besides the efficiently encoded signals, a large number of parameters, i.e. the side-information, has to be stored on the SACD too. The smaller the storage capacity that is required for the side-information, the better the overall coding gain is. Therefore coding techniques are applied to the side-information too so as to compress the amount of data of the side information.

Abstract: For “Super Audio CD” (SACD) the DSD signals are losslessly coded, using framing, prediction and entropy coding. Besides the efficiently encoded signals, a large number of parameters, i.e. the side-information, has to be stored on the SACD too. The smaller the storage capacity that is required for the side-information, the better the overall coding gain is. Therefore coding techniques are applied to the side-information too so as to compress the amount of data of the side information.

Abstract: For “Super Audio CD” (SACD) the DSD signals are losslessly coded, using framing, prediction and entropy coding. Besides the efficiently encoded signals, a large number of parameters, i.e. the side-information, has to be stored on the SACD too. The smaller the storage capacity that is required for the side-information, the better the overall coding gain is. Therefore coding techniques are applied to the side-information too so as to compress the amount of data of the side information.

Abstract: For “Super Audio CD” (SACD) the DSD signals are losslessly coded, using framing, prediction and entropy coding. Besides the efficiently encoded signals, a large number of parameters, i.e. the side-information, has to be stored on the SACD too. The smaller the storage capacity that is required for the side-information, the better the overall coding gain is. Therefore coding techniques are applied to the side-information too so as to compress the amount of data of the side information.

Abstract: For “Super Audio CD” (SACD) the DSD signals are losslessly coded, using framing, prediction and entropy coding. Besides the efficiently encoded signals, a large number of parameters, i.e. the side-information, has to be stored on the SACD too. The smaller the storage capacity that is required for the side-information, the better the overall coding gain is. Therefore coding techniques are applied to the side-information too so as to compress the amount of data of the side information.

Abstract: Audio signals are converted from analog into digital using the well-known sigma-delta modulation techniques. The digital signal then consists of a sequence of 1-bit samples at a frequency of e.g. 2822400 Hz (=64*44100 Hz). Lossless coding techniques are used to reduce the required storage- or transmission-capacity for these 1-bit oversampled audio signals. The performance (compression ratio) of the lossless coder for 1-bit oversampled audio signals is improved by sometimes overruling the probability signal for the lossless coder.

Abstract: Known is a telecommunications system comprising a near end and a far end subscriber unit communicating with each other via a transmission channel, at least the near end subscriber being arranged for handsfree communication. In the known system, the near end subscriber unit comprises a duplex controller controlling the near end subscriber unit to three stable modes, a transmit mode, a receive mode, and an idle mode. The known subsciber unit operates in half-duplex mode and has speech and noise detectors for the transmit and receive paths, and a speech level comparator controlling the mode switching. At mode switching, suitable gain adaptation is done in the transmit and receive path so as to prevent howling in handsfree mode. The known duplex controller does not operate satisfactorily if the near end speaker is at a relatively large distance from the microphone. A telecommunications system is provided that satisfactorily operates when the near end speaker is a relatively large distance from the microphone.