Transmission Signal Data Storage Using Zero-Volt Time Points
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Solution Overview
Problem
Inaccurate data extraction occurs due to signal reflection during transmission, causing waveform deformation and incorrect identification of rising or falling edges in clock signals, leading to wrong data extraction.
Innovation Solution
Analyzing the initial clock signal to determine its frequency and zero-volt time points, then generating data storage time periods centered on these points to ensure accurate data extraction by storing data within stable waveform periods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is stored according to the received clock signal, then data storage is simple, but wrong data may be stored due to waveform deformation from signal reflection
Solution Approach 1:
The patent applies preliminary action by analyzing the clock signal in advance to identify zero-volt time points and generating data storage time periods before actual data storage occurs. This preliminary analysis of the clock signal waveform allows the system to pre-determine stable periods for data storage, avoiding the problem of storing data during unstable periods caused by signal reflection.
Solution Approach 2:
The patent changes the parameter of data storage timing from using the original clock signal directly to using dynamically generated data storage time periods based on zero-volt time points. By calculating time periods centered on zero-volt time points with half the clock cycle length, the system adapts the storage timing parameters to match the actual stable periods of the clock signal, improving data extraction accuracy.
2Measurement precision
If data storage time periods are generated based on zero-volt time points, then data extraction accuracy is improved, but calculation complexity increases
Solution Approach 1:
The patent applies self-service by using the clock signal itself to generate the data storage time periods. The zero-volt time points are derived from the clock signal's own characteristics, and the time periods are calculated based on the clock cycle. This self-referential approach eliminates the need for external reference signals or complex synchronization mechanisms, reducing overall system complexity while improving precision.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Improves data extraction accuracy by ensuring rising or falling edges are correctly identified and included in data storage periods, preventing wrong data extraction and abnormal data display.
Implementation Method 1
due to inconsistency of characteristic impedances of transmission lines, a reflection phenomenon is encountered by a signal in a transmission process and then a reflected signal is superimposed with an initial signal
Data Source
AI summary
The present application discloses a method for storing data of a transmission signal, which includes: upon the reception of the transmission signal, analyzing a clock signal corresponding to the transmission signal to obtain a signal frequency of the clock signal; according to the signal frequency, acquiring zero-volt time points of a clock signal after signal superposition with the transmission signal; acquiring a preset time length, and according to the zero-volt time points and the preset time length, generating data storage time periods with each of the zero-volt time points as a central time point; and storing data of the transmission signal within each of the data storage time periods. The present application further provides an apparatus for storing data of a transmission signal and a computer readable storage medium.