Adaptive Element Shuffling for Distortion-Noise Tradeoff Control
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Solution Overview
Problem
Signal processing systems face distortions due to element mismatches in processing elements, which are exacerbated by shuffling schemes intended to compensate for these mismatches, leading to increased noise and degraded signal-to-noise ratio.
Innovation Solution
A system comprising a detector, controller, and shuffler that dynamically adjusts the shuffling frequency of processing elements based on signal amplitude, employing a 'fast attack slow decay' strategy to minimize distortion while reducing unnecessary noise, by shuffling elements more frequently during high amplitude signals and less frequently during low amplitude signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If processing elements are periodically shuffled to reduce distortion from element mismatches, then distortion is reduced, but noise increases and signal-to-noise ratio deteriorates
Solution Approach 1:
The shuffler dynamically adjusts the shuffling frequency based on the amplitude of the input signal. When the signal amplitude exceeds a threshold, shuffling is activated; when the amplitude drops below the threshold, shuffling is deactivated. This dynamic adaptation allows the system to reduce distortion during high-amplitude signals while minimizing noise during low-amplitude signals.
Solution Approach 2:
The system changes the shuffling parameter (shuffling frequency) based on the signal amplitude parameter. By monitoring the input signal amplitude and adjusting the shuffling activity accordingly, the system optimizes the trade-off between distortion reduction and noise minimization.
2Measurement precision
If shuffling is continuously applied to compensate for element mismatches, then distortion is minimized, but unnecessary noise is introduced during low amplitude signals
Solution Approach 1:
Instead of continuous shuffling, the system applies periodic shuffling only when necessary (when signal amplitude exceeds the threshold). The shuffling is activated during high-amplitude signals and deactivated during low-amplitude signals, creating a conditional periodic action that reduces unnecessary noise.
Solution Approach 2:
The system extracts and removes the shuffling function during periods when it is not needed (low-amplitude signals). By conditionally deactivating the shuffler, the system eliminates unnecessary noise generation while maintaining distortion compensation capability when needed.
3Measurement precision
If shuffling frequency is increased to better compensate for mismatches, then distortion reduction improves, but noise and system activity increase
Solution Approach 1:
The system changes the shuffling frequency parameter based on the signal amplitude. During high-amplitude signals, shuffling is activated at a higher frequency to effectively compensate for mismatches. During low-amplitude signals, shuffling is deactivated or reduced, lowering the frequency and minimizing noise.
Data Source
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AI summary
A system may include a detector, a controller, a shuffler, and a processor. The detector may detect a signal. The controller may control the shuffler based upon the signal. The shuffler may shuffle a plurality of channels at the input of a plurality of processing elements of the processor based upon the signal. The processor may process the signal according to the plurality of channels as configured by the shuffler.