UNIT QUALITY ASSESSMENT OF DIGITAL CHANNELS the audio signals in the path of sound broadcasting

摘要

The proposed utility model relates to telecommunication technology, and is designed to estimate the parameters of digital channels for transmitting audio data.; The technical result of the proposed utility model is to enable a more complete and accurate assessment of the quality of the transmitted audio broadcast but the path of the audio signal.; Achievement of the said technical result is ensured in the proposed apparatus estimates the quality of digital audio data channels to transmit audio paths in broadcast comprising: a source of a reference (reference) signal source of the signal obtained by passing the reference signal through the estimated channel or its individual links; spectrum calculating unit; psychoacoustic analysis unit, which has the excitation calculating unit (reference time and frequency masking); calculating block distortion detection probability associated inputs to the respective outputs excitation calculation unit, which are outputs of the psychoacoustic analysis unit,; characterized in that it further comprises: a signal separation unit into time sections corresponding inputs of which are connected to sources of reference (reference) and the test signal, and its outputs connected to respective inputs spectra calculation unit; outputs connected to the inputs entered unit scaling the spectra of the level reproducing outputs connected to respective inputs entered calculating block distortion signal evaluation unit harmonic structure distortion evaluation unit width of the frequency bands of the reference and the test signals, and psychoacoustic analysis device, further comprising a series-connected unit taking into account the transfer function of the outer and middle ear, the block of transition to the scale of critical bands of hearing and accounting unit with bstvennyh noise auditory system, the outputs of which are connected to the inputs of the block of calculating the excitation device also introduced comparing unit modulation of the reference and the test signal calculating unit additive noise volume calculating unit relationships noise / mask averaging block in frequency, time averaging unit and display configured as trained by results of subjective assessments statichticheskih artificial neural network, appropriately interconnected with the blocks mentioned above. 1. and 1 z.p.p. f ly-2 Fig.