Abstract: A lossless data compression method that comprises the receiving of a series of data segments of a known length and a known characteristic and the pre-processing of the series of data segments to generate a series of differential data, which comprises a first value, one or more differential values and a last differential value. The method further comprises the dividing of the series of differential data into at least two blocks of differential data and the encoding of at least one block of differential data using Rice encoding, thereby providing at least one block of encoded differential data. In addition, the method comprises the generating of a data packet that comprises said at least one blocks of encoded differential data and any blocks of differential data not having been encoded.

Abstract: Presented is a method (100) for real-time processing an audio stream in an audio speaker arrangement comprising at least one audio speaker. The method (100) comprises receiving (110) an audio-stream and a playback volume associated with the audio-stream and determining (120) a playback sound pressure level of the audio speaker based on the playback volume and pre-stored acoustic transfer data. The pre-stored acoustic transfer data is associating the playback volume with the playback sound pressure level of the audio speaker. The method further comprises generating (130) a compensation filter based on amplitude compensation data associated with the determined playback sound pressure level and filtering (140) the audio-stream using the compensation filter and applying a gain factor to the audio stream generating a compensated audio-stream. The gain factor is configured such that a total audio power of the audio stream is preserved regardless of the compensation filter.

Abstract: A lossless data compression method that comprises the receiving of a series of data segments of a known length and a known characteristic and the pre-processing of the series of data segments to generate a series of differential data, which comprises a first value, one or more differential values and a last differential value. The method further comprises the dividing of the series of differential data into at least two blocks of differential data and the encoding of at least one block of differential data using Rice encoding, thereby providing at least one block of encoded differential data. In addition, the method comprises the generating of a data packet that comprises said at least one blocks of encoded differential data and any blocks of differential data not having been encoded.

Abstract: The present invention relates to a loudspeaker volume control arrangement for a telephone having a loudspeaker and a microphone which controls the loudspeaker volume of the telephone based on the estimated distance between the microphone and the loudspeaker.

Abstract: An echo cancellation device (ECD) comprises an echo canceller (EC) including a transfer function estimator (EST, H) and a subtractor (ADD) and a residual echo suppression device (G, ADD2). The residual echo suppression device (G) comprises a residual echo filter (G) having an adjustable filter function (g). This filter function (g) can be adapted to either remove from the subtractor output (TNE′) the spectral characteristics relating to the reception signal (RFE) and/or to emphasize in the subtractor output signal (TNE′) a background signal spectral content relating to the transmission signal (TNE). A noise generation means (NGM′) can be provided at the output of the adaptable filter (G) for injecting a noise process in to the filter output signal (TNE′) prior to a speech coding in a speech coder (COD). The noise process masks in the filter output signal a spectral content relating to the reception signal (RFE).

Abstract: In methods and apparatus for echo cancellation, a noise estimate is selectively added to a downlink communications signals to improve the convergence speed and stability of an echo-canceling adaptive filter. The added signal content enables the echo-canceling adaptive filter to more quickly track echo path changes during user communications and prevents divergence of the adaptive filter during periods in which the downlink signal does not contain information (e.g., speech) sufficient to develop a quality echo path estimate. To prevent performance degradation from a user perspective, the added noise is made to resemble existing system noise (e.g., either near-end or far-end background noise). In exemplary embodiments, filter convergence speed and stability are further improved by whitening the spectrum and increasing the power level of the added noise whenever a near-end user is active and masking the added noise.

Abstract: An enhanced near-end voice signal may be generated in a hands-free environment by receiving an audio signal, generating an estimated acoustic echo signal, and generating a processed signal by removing the estimated acoustic echo signal from the audio signal. A near-end enhanced spectrum is then determined, that has one or more ranges of contiguous frequencies over which the detector spectrum takes on its largest values, wherein the range of contiguous frequencies are those associated with a relatively high echo return loss in the processed signal. The processed signal is filtered in accordance with the near-end enhanced spectrum, thereby generating an enhanced near-end voice signal. The enhanced near-end voice signal may then be applied to any of a number of components that are intended to process near-end speech. For example, when applied to a voice activity detector, the amount of energy contained in the enhanced near-end voice signal is then measured.

Abstract: The number X is a number whose square root is to be computed efficiently. A first register of a processor is set to the number X. A second register of the processor is set to a number L, wherein the number L indicates a number of significant bits of X. The number L is shifted right in the second register by one bit to produce a number N. The number X is shifted right in the first register by N bits to produce a number X1. A third register of the processor is set to 1 and shifted left by N bits to produce the result N1 in the third register. The results N1 and X1 are added and shifted right by one bit to produce an approximation to the square root of X.