Abstract: A method and an apparatus for indicating presence of a transient noise in a call are provided. The method comprises the steps of determining activity at an endpoint of the call by monitoring presence of a signal input from the endpoint into the call and monitoring presence of a potential source of transient noise at the endpoint. Further, based on the activity determination and the monitoring of the presence of a potential source of transient noise, a signal representative of the presence of a transient noise in the call is sent. The present invention is advantageous in that it enables improvement of the quality of the call.

Abstract: The invention concerns a method and device for joining thermoplastics pipes manufactured by spiral winding of a hollow profile. The method according to the invention is characterized in that a welding mirror (5) adaptable to the prepared end surfaces of the pipes and provided with heating means, is inserted in the slot between the pipes (1), the pipe ends are pressed against the heated welding mirror to heat the thermoplastics material at the end of the pipe ends to a welding temperature to render the plastics material on the joint surface plastic, the welding mirror (5) is removed from between the pipes, the heated pipe ends are pressed against each other so that the thermoplastics materials melt together to form a welded joint, and the welded joint is allowed to cool. The welding mirror (5, 5?) according to the invention is characterized in that the welding mirror is adaptable to the shape of the end surface of the pipe cut along a radial side wall (6) of the hollow profile.

Abstract: The disclosure relates to encoding and decoding of digital data, and in particular to lossless arithmetic encoding and decoding of digital data representing audio, image or video data. A probability density function used for lossless arithmetic encoding of digital data is controlled by employing one or more parameters that changes over the set of data to be encoded. A parametric model in the form of an envelope function describes the spread of quantization indices derived from the data in a transform domain. By transmitting the one or more parameters together with the arithmetically encoded data, a receiving decoder may decode the data by exploiting the same parametric model as used by the encoder.

Abstract: The disclosure relates to encoding and decoding of digital data, and in particular to lossless arithmetic encoding and decoding of digital data representing audio, image or video data. A probability density function used for lossless arithmetic encoding of digital data is controlled by employing one or more parameters that changes over the set of data to be encoded. A parametric model in the form of an envelope function describes the spread of quantization indices derived from the data in a transform domain. By transmitting the one or more parameters together with the arithmetically encoded data, a receiving decoder may decode the data by exploiting the same parametric model as used by the encoder.