Least Squares Theory and Design of Optimal Noise Shaping Filters
نویسنده
چکیده
Signal requantization to reduce the word-length of an audio stream introduces distortions. Noise shaping can be applied in combination with a psychoacoustic model in order to make requantization distortions minimally audible. The psychoacoustically optimal noise shaping curve depends on the time-varying characteristics of the input signal. Therefore, the noise shaping filter coefficients are to be computed and updated on a regular basis. In this paper, we present a new theory for optimal noise shaping of audio signals. This theory is based on a Least Squares interpretation of the problem. It provides a shorter and more straightforward proof of known properties of dithered and non-dithered noise shaping. Moreover, and in contrast with the standard theory, this new approach does show how noise shaping filters that attain the theoretical optimum can be designed in practice. Experimental results illustrate the proposed method. The link with two popular noise shaping requantization techniques (F-weighted noise shaping and Super Bit Mapping) is also discussed.
منابع مشابه
On psychoacoustic noise shaping for audio requantization
Signal requantization to reduce the word-length of an audio stream introduces distortions. Noise shaping can be applied in combination with a psychoacoustic model in order to make requantization distortions minimally audible. The psychoacoustically optimal noise shaping curve depends on the time-varying characteristics of the input signal. Therefore, the noise shaping filter coefficients are to...
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