HDMI Signal Detection Using Slide Window Pattern Matching
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Solution Overview
Problem
Existing HDMI sink devices face challenges in accurately detecting HDMI 2.0 signals due to noise and crosstalk interference, which can lead to misidentification of HDMI 1.4 signals as HDMI 2.0 signals.
Innovation Solution
The proposed solution involves an HDMI signal detection method where the sink device receives input data and compares each data set to a predefined reference pattern using a slide window. The method determines the HDMI standard by calculating a total match count and comparing it to a threshold, thereby accurately identifying whether the input data corresponds to HDMI 1.4 or HDMI 2.0 standards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the sink device detects data using HDMI 2.0 ratio detect clock rate, then the detection speed is improved, but the reliability of detection deteriorates due to noise and crosstalk interference causing misidentification
Solution Approach 1:
The detection process is divided into multiple independent detection cycles, where each cycle detects a specific number of data sets (e.g., 64 data sets). The overall detection result is determined by counting how many cycles identify HDMI 2.0 pattern, providing segmented verification to improve reliability while maintaining speed.
Solution Approach 2:
The patent performs more detection operations than strictly necessary by conducting multiple detection cycles with threshold comparison. Instead of relying on a single detection result, the system performs excessive detections and uses majority voting logic to determine the final result, thereby improving reliability through redundant verification.
2Device complexity
If the sink device uses simple pattern matching to identify HDMI signals, then the device complexity is reduced, but the measurement precision deteriorates due to inability to distinguish noisy signals from valid signals
Solution Approach 1:
The system performs preliminary detection of data sets within each detection cycle to identify potential HDMI 2.0 patterns before making the final determination. This preliminary action allows the simple pattern matching algorithm to operate on pre-processed data, improving precision without adding significant complexity to the core detection logic.
Solution Approach 2:
The patent implements feedback through threshold-based decision making, where the number of detection cycles identifying HDMI 2.0 pattern is compared against a threshold to determine the final signal type. This feedback mechanism allows the simple pattern matching to be corrected and refined through iterative verification, improving measurement precision.
Data Source
AI summary
A High-Definition Multimedia Interface (HDMI) signal detection method is provided. The HDMI signal detection method may be applied to an apparatus (e.g., a sink device). The HDMI signal detection method may include the following steps. The apparatus may receive input data from a source apparatus through an HDMI standard, wherein the input data comprises a plurality of data sets. Then, the apparatus may compare each data set to a predefined reference pattern according to a slide window with the predefined reference pattern to generate a comparison result. Then, the apparatus may determine whether the total match count corresponding to the comparison result is less than a threshold to determine the HDMI standard corresponding to the input data.