Modern digital audio signal processors need to be energy efficient, both for mobile audio and environmental concerns. Improving technology has been reducing the power of these devices via better, smaller, transistors and reduced voltage swings between one and zero. However, there is a limit to how far this improvement can go. To further reduce processor energy consumption the number of transitions between one and zero must be reduced. This paper presents a method of doing this to, instructions, addresses, and data. By looking at the interaction between their usage statistics and their digital representation and modifying it to match the usage a reduction in energy consumption is achieved. The paper present both measured usage statistics, and bit allocation strategies to achieve this.
https://www.aes.org/e-lib/browse.cfm?elib=18261
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