Signal Overflow Detection and Adaptive Encoding for ADC Cost Reduction
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Solution Overview
Problem
Existing signal detection and processing methods using single-phase power supply result in high dynamic range requirements, necessitating wide bit width ADCs, which increases hardware costs and inefficiencies in signal transmission and storage.
Innovation Solution
A signal detection method that preprocesses signals, detects overflow thresholds, and applies iterative mapping and phase detection to select appropriate encoding methods, including subtraction, logarithmic, and quotient-remainder operations, combined with secondary encoding techniques like Huffman or arithmetic encoding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a wide bit width ADC is used to complete high-fidelity analog-to-digital conversion, then signal conversion fidelity is improved, but hardware cost and system complexity increase
Solution Approach 1:
The patent applies preliminary action by performing signal preprocessing before ADC conversion. The system pre-processes the analog signal to reduce its dynamic range requirements, thereby enabling the use of lower-bit-width ADCs while maintaining conversion fidelity. This preliminary processing step eliminates the need for expensive wide-bit ADCs.
Solution Approach 2:
The patent changes the parameter of signal dynamic range through preprocessing operations. By transforming the signal characteristics before conversion, the system reduces the required bit width of the ADC from what would be needed for raw analog signals to a more manageable level, thus reducing hardware cost while preserving essential signal information.
2Loss of substance
If signal preprocessing and phase detection are performed, then data compression ratio is improved, but processing complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the signal processing into distinct stages: preprocessing, phase detection, and encoding. Each stage handles specific aspects of the signal, allowing for optimized processing at each step. The phase detection divides the signal into different phase regions, enabling targeted compression strategies for each phase, which improves overall compression ratio while managing complexity through modular processing.
Solution Approach 2:
The patent introduces an intermediary processing stage that transforms the raw signal into a intermediate representation suitable for efficient compression. This intermediary processing includes phase detection and adaptive encoding selection, which acts as a mediator between the raw signal and the final compressed output, achieving high compression ratios without excessive processing complexity.
3Measurement precision
If iterative mapping operations are performed on overflow values, then signal processing accuracy is improved, but computational time increases
Solution Approach 1:
The patent applies partial action by performing iterative mapping operations selectively rather than on all signal points. The system identifies overflow values and applies the computationally intensive iterative mapping only to those specific cases, while other values undergo simpler processing. This selective approach maintains processing accuracy for critical overflow cases while minimizing overall computational time.
Solution Approach 2:
The patent applies local quality by using different processing strategies for different parts of the signal data. Overflow values receive the more accurate but computationally intensive iterative mapping treatment, while non-overflow values undergo faster, simpler processing. This localized approach to quality ensures high accuracy where needed without unnecessarily increasing computational time for all data points.
Data Source
AI summary
The present disclosure relates to the technical field of signal detection, and specifically, provides a signal detection method, a signal processing method, and a signal processing model. The signal detection method includes: preprocessing a signal, namely processing a signal point in a signal segment, to obtain a processed value of the signal point; and detecting whether the processed value exceeds a specified overflow threshold range, to select a different reprocessing method based on a detection result of the processed value. Especially in a detection process before signal reprocessing, the signal can be processed in a targeted manner based on the detection result of the processed value, thereby effectively improving a processing effect of the signal.