Abstract: The current invention relates to an encoder for converting a set of data words into a data block having a header section, a checksum section and a payload section; the encoder comprising: a header inserter arranged to insert a header pattern in the data block; a checksum calculator arranged to calculate a checksum of the set of data words; a data word converter arranged to convert the set of data words into a set of obfuscated data words being a result of applying an exclusive or operation between the set of data words and the checksum.

Abstract: The current invention related to methods and systems for panning audio objects on multichannel loudspeaker setups. The invention relates to a method of processing an audio object along an axis, said audio object comprising an audio object abscissa and an audio object spread, for spatialized restitution thereof over a plurality of sound transducers, N in number, aligned along said axis; each of said sound transducers comprising a transducer abscissa; N being at least equal to two; said method comprising a plurality of steps.

Abstract: The current invention relates to an encoder for converting a set of data words into a data block having a header section, a checksum section and a payload section; the encoder comprising: a header inserter arranged to insert a header pattern in the data block; a checksum calculator arranged to calculate a checksum of the set of data words; a data word converter arranged to convert the set of data words into a set of obfuscated data words being a result of applying an exclusive or operation between the set of data words and the checksum.

Abstract: A signal encoder divides the signal into segments and uses prediction models to approximate the samples of each segment Each local prediction model, each applicable to one segment, is applied in its own translated axis system within the segment and the offset is given by the last predicted value for the previous segment. When the signal is reasonably continuous, it alleviates the need to parameterize the offset for each local predictor model as each local predictor model can build on this last predicted sample value of the previous segment. The encoder as a consequence doesn't suffer from a build up of error even though the offset is not transmitted but instead the last predicted value of the last sample of the previous segment is used. Prediction errors are obtained for the approximated samples and transmitted to the decoder, together with the predictor model parameters and seed value to allow accurate reconstruction of the signal by the decoder.

Abstract: The current invention related to methods and systems for panning audio objects on multichannel loudspeaker setups. The invention relates to a method of processing an audio object along an axis, said audio object comprising an audio object abscissa and an audio object spread, for spatialized restitution thereof over a plurality of sound transducers, N in number, aligned along said axis; each of said sound transducers comprising a transducer abscissa; N being at least equal to two; said method comprising a plurality of steps.

Abstract: When combining digital data sets in the time domain into a combined digital data set a subset of samples of each digital data set is adjusted to enable unraveling the data when decoding. To enable correction during decoding of an error introduced by the adjustment, an error approximation is stored for each adjusted sample. A set of error approximations is created which is indexed allowing substantial reduction in size of the error approximations to be stored for the adjusted samples. Instead of creating a set of error approximations for each combined digital data set one set of error approximations is created based on the errors introduced when creating multiple combined digital data sets.

Abstract: A signal encoder divides the signal into segments and uses prediction models to approximate the samples of each segment Each local prediction model, each applicable to one segment, is applied in its own translated axis system within the segment and the offset is given by the last predicted value for the previous segment. When the signal is reasonably continuous, it alleviates the need to parameterize the offset for each local predictor model as each local predictor model can build on this last predicted sample value of the previous segment. The encoder as a consequence doesn't suffer from a build up of error even though the offset is not transmitted but instead the last predicted value of the last sample of the previous segment is used. Prediction errors are obtained for the approximated samples and transmitted to the decoder, together with the predictor model parameters and seed value to allow accurate reconstruction of the signal by the decoder.

Abstract: When combining digital data sets in the time domain into a combined digital data set a subset of samples of each digital data set is adjusted to enable unraveling the data when decoding. To enable correction during decoding of an error introduced by the adjustment, an error approximation is stored for each adjusted sample. A set of error approximations is created which is indexed allowing substantial reduction in size of the error approximations to be stored for the adjusted samples. Instead of creating a set of error approximations for each combined digital data set one set of error approximations is created based on the errors introduced when creating multiple combined digital data sets.

Abstract: A converter and conversion method are disclosed for converting N channel audio input channels into M channel audio output channels, wherein a processor is used for applying a transfer function to a signal received on an input channel to obtain reverberation components of a calculated output channel, wherein said transfer function is a simplified transfer function matching a selected subset of a set of local maxima of a measured reverberation when applied to a corresponding stimulus.

Abstract: A converter and conversion method are disclosed for converting N channel audio input channels into M channel audio output channels, wherein a processor is used for applying a transfer function to a signal received on an input channel to obtain reverberation components of a calculated output channel, wherein said transfer function is a simplified transfer function matching a selected subset of a set of local maxima of a measured reverberation when applied to a corresponding stimulus.