Data Sampling Circuit Adaptive Clock Triggering
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Solution Overview
Problem
Conventional data sampling methods for differential signals require high-frequency clock signals, leading to increased power consumption and poor efficiency.
Innovation Solution
A data sampling circuit module that includes a differential signal converting circuit, a sampling circuit, and a bit data outputting circuit, which samples a clock signal based on turning points of the input data stream to generate a bit data stream, reducing the need for high-frequency clock signals and improving processing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-frequency clock signal is used for data sampling, then data sampling accuracy is improved, but power consumption increases
Solution Approach 1:
The patent changes the sampling strategy from fixed high-frequency clock-based sampling to adaptive sampling based on signal transition detection. The sampling circuit detects edge transitions in the differential signal and triggers sampling only at these critical moments, eliminating the need for continuous high-frequency clock operation while maintaining sampling accuracy.
Solution Approach 2:
The sampling circuit uses the signal itself (detecting its own transitions) to trigger the sampling action, rather than relying on an external high-frequency clock. The differential signal's own edges serve as the sampling trigger, making the system self-regulating and eliminating dependency on high-frequency external clock signals.
2Measurement precision
If high-frequency clock signal is used for data sampling, then data sampling accuracy is improved, but processing efficiency deteriorates
Solution Approach 1:
The patent implements periodic sampling triggered by signal transitions rather than continuous high-frequency clock cycles. The sampling occurs periodically at each detected edge transition of the differential signal, reducing the overall sampling rate while capturing all necessary data transitions accurately.
Solution Approach 2:
The patent extracts only the essential sampling moments (edge transitions of the differential signal) from the continuous signal stream, ignoring non-critical periods. This selective sampling approach removes unnecessary high-frequency clock operations while preserving all information-carrying transitions.
3Measurement precision
If continuous sampling is performed, then data accuracy is improved, but power consumption increases
Solution Approach 1:
The sampling operation is converted from continuous to periodic, occurring only at signal edge transitions. The sampling circuit enters a low-power state between transitions and activates only when needed, dramatically reducing average power consumption while maintaining data accuracy through targeted sampling at critical moments.
Solution Approach 2:
The sampling system uses the differential signal's own transitions to trigger sampling actions, eliminating the need for continuous external clock-driven sampling. The system serves itself by detecting its own critical moments, enabling power-efficient operation without sacrificing accuracy.
Data Source
AI summary
A data sampling circuit module, a data sampling method and a memory storage device are provided. The method includes: receiving a differential signal and generating an input data stream according to the differential signal; sampling a clock signal according to a plurality of turning points of the input data stream and outputting a sampling signal; and outputting a bit data stream corresponding to the input data stream according to the sampling signal.