Signal Handling Circuit With Bit Truncation for Error Tolerance
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Solution Overview
Problem
Current hardware systems for signal handling in electronic devices face challenges with resource consumption and error tolerance during signal transmission and processing, particularly due to bit errors and faults caused by factors like ground bounce, supply voltage fluctuations, and cosmic rays.
Innovation Solution
A system that includes a filter circuit for attenuating interested bands, a magnitude bit truncation circuit for reducing the number of bits per sample, and a utility circuit for handling the truncated signal, which can modulate the signal to a rougher quantization resolution using sigma-delta modulation, thereby reducing resource requirements and enhancing error tolerance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the target signal is transmitted and processed directly, then the signal quality and accuracy are maintained, but the resource consumption (layout area, gate count, power) increases and error tolerance decreases
Solution Approach 1:
The patent changes the parameter of signal representation by truncating magnitude bits and modulating to rougher quantization resolution. This transforms the signal from high-precision digital form to a modulated form with fewer bits per sample, reducing resource consumption while maintaining acceptable signal quality through the modulator's noise shaping capability
Solution Approach 2:
The patent extracts and removes less significant magnitude bits from the signal representation. By eliminating these lower-order bits that contribute minimally to signal accuracy, the system reduces the bit width and resource requirements while retaining the essential signal information in the remaining bits
2Device complexity
If the number of bits per sample is reduced, then the resource requirement decreases, but the signal precision and quality deteriorate
Solution Approach 1:
The patent replaces the traditional digital signal representation mechanism with a modulated signal mechanism. Instead of using more bits to represent signal amplitude directly, the system uses modulation techniques where information is encoded in transitions and patterns of a lower-bit signal, achieving comparable precision with fewer resources
Solution Approach 2:
The patent changes the quantization resolution parameter from fine to rough by truncating magnitude bits. This parameter change is compensated by the modulator which uses noise shaping to push quantization errors out of the signal band, effectively maintaining signal precision despite the coarser quantization
3Measurement precision
If signal handling is performed with full precision, then the accuracy is maintained, but the power consumption and processing time increase
Solution Approach 1:
The patent changes the precision parameter of signal processing by using truncated signals with fewer bits. This reduction in precision parameter directly lowers the computational complexity and power consumption of processing operations, while the modulator ensures that the essential accuracy requirements are met through intelligent noise shaping
Data Source
AI summary
The invention provides a system improving signal handling, e.g., transmission and/or processing. In an embodiment, the system may include a filter circuit, a magnitude bit truncation circuit and a utility circuit. The filter circuit may be coupled to a target signal which contains one or more desired signals at one or more interested bands, for attenuating each said interested band to form a filtered signal. The magnitude bit truncation circuit may be coupled to the filter circuit, for truncating one or more bits of each sample of the filtered signal to form a truncated signal. The utility circuit may be coupled to the magnitude bit truncation circuit, for handling the truncated signal to implement handling of the target signal, so as to reduce resource requirement and enhance error tolerance comparing with directly handling the target signal.