Adaptive Signal Representation for Low-Power DSP Circuits
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Solution Overview
Problem
Conventional digital signal processing systems consume excessive power due to inefficient representation of digital bits and signal levels, leading to unnecessary bit state transitions and energy wastage.
Innovation Solution
The implementation of circuitry that analyzes and adjusts the digital representation of input signals by controlling gain, dynamic range, and fundamental number systems to minimize bit state transitions, including the use of gain control, number representation conversion, and DC bias introduction to reduce power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If conventional digital signal processing methods are used, then signal processing functionality is provided, but power consumption is excessive
Solution Approach 1:
The patent applies dynamics by making the digital representation adjustable rather than fixed. The system dynamically adapts the number of bits and signal level representation based on the actual signal characteristics and processing requirements, allowing the digital signal processing system to optimize power consumption while maintaining signal quality only when necessary.
Solution Approach 2:
The patent changes the parameter of digital representation (number of bits, signal levels) to reduce power consumption. By adjusting these parameters based on signal characteristics and processing needs, the system achieves lower power consumption while preserving essential signal quality through intelligent parameter selection.
2Reliability
If full dynamic range is maintained, then signal quality is preserved, but unnecessary bit state transitions occur increasing power consumption
Solution Approach 1:
The patent applies partial action by using fewer bits and reduced signal levels when full dynamic range is not required for signal quality. This partial representation reduces bit state transitions and energy consumption while maintaining adequate signal quality for the specific processing task at hand.
Solution Approach 2:
The system dynamically adjusts the digital representation to match the actual signal requirements, using minimal necessary bits and signal levels rather than maintaining fixed full dynamic range. This dynamic adaptation reduces unnecessary bit transitions and energy wastage while preserving signal quality where needed.
3Measurement precision
If more bits are used for digital representation, then signal precision is improved, but power consumption increases due to more bit transitions
Solution Approach 1:
The patent changes the parameter of bit depth based on signal characteristics and processing requirements. By adaptively selecting the appropriate number of bits rather than always using maximum precision, the system achieves adequate signal precision with reduced power consumption from fewer bit transitions.
Solution Approach 2:
The system uses partial precision (fewer bits) when full precision is not required, reducing the number of bit transitions and associated power consumption while maintaining sufficient signal precision for the specific application.
Data Source
AI summary
A system and method for low-power digital signal processing, for example, comprising adjusting a digital representation of an input signal.