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Michael Schug

Researcher at Dolby Laboratories

Publications -  51
Citations -  647

Michael Schug is an academic researcher from Dolby Laboratories. The author has contributed to research in topics: Audio signal & Audio signal flow. The author has an hindex of 14, co-authored 51 publications receiving 646 citations. Previous affiliations of Michael Schug include SK Telecom.

Papers
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Patent

Audio encoder and decoder

TL;DR: In this article, a linear prediction unit for filtering an input signal based on an adaptive filter; a transformation unit for transforming a frame of the filtered input signal into a transform domain; and a quantization unit for quantizing the transform domain signal.
Patent

Enhancing the performance of coding systems that use high frequency reconstruction methods

TL;DR: In this article, an adaptation over time of the crossover frequency between the lowband coded by a core codec and the highband coded using high-frequency reconstruction (HFR) is presented.
Patent

System and method for non-destructively normalizing loudness of audio signals within portable devices

TL;DR: In this article, the authors propose to include metadata that specifies a suitable dynamic range compression profile by either absolute values or differential values relative to another known compression profile, and a playback device may also adaptively apply gain and limiting to the playback audio.
Patent

Apparatus and method for encoding an audio signal and apparatus and method for decoding an encoded audio signal

TL;DR: In this paper, the first encoder output signal is written into a bit stream and then decoded by a decoder to obtain a decoded audio signal, which is compared with the original audio signal to obtain the residual signal.
Patent

Enhanced audio encoding/decoding device and method

TL;DR: In this paper, an enhanced audio encoding device consisting of a signal type analyzing module, a psycho-acoustical analyzing module and a time-frequency mapping module, quantization and entropy encoding module, frequency-domain linear prediction and vector quantization module, and bit stream multiplexing module is presented.