Video Processing Apparatus Signal Quality Optimization
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Solution Overview
Problem
Existing methods for optimizing high-speed interface signal quality in TVs are inefficient due to manual and repetitive measurements, which are prone to errors and time-consuming, especially when changes in hardware or software occur, and struggle with accurately determining optimal set values for factors like voltage level, timing skew, and equalizer.
Innovation Solution
A video processing apparatus that automatically diagnoses physical signal quality by transmitting test signals and determining optimal set values based on regression signals received, using a controller to loop back test signals and determine suitable values for factors such as voltage level, timing skew, and equalizer, thereby optimizing communication quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual measurements are performed repeatedly to optimize signal quality, then measurement accuracy may be improved, but time consumption and complexity increase significantly
Solution Approach 1:
The system performs self-diagnosis and self-optimization of signal quality parameters. The controller automatically transmits test signals, measures regression signals, and determines optimal set values without requiring external manual intervention or repeated measurements by operators.
Solution Approach 2:
The system uses feedback from measured regression signals to automatically adjust and determine optimal set values for signal quality parameters. The measurement results are fed back to the controller which then selects the best parameters, creating a closed-loop optimization system.
2Reliability
If manual repeated measurements are performed to find optimal set values, then comprehensive parameter optimization may be achieved, but operation complexity and human intervention increase
Solution Approach 1:
The controller automatically performs the complete optimization process including transmitting test signals, measuring regression signals, and determining optimal set values without requiring operator intervention. The system serves itself by autonomously finding the best parameters for reliable communication.
Solution Approach 2:
The system performs preliminary optimization examinations automatically during the design and setup phase. By pre-determining optimal set values through automated testing, the system eliminates the need for manual adjustments during operation, simplifying the user experience while ensuring reliable communication quality.
3Adaptability or versatility
If hardware or software changes are made to the system, then system adaptability and performance improvement may be achieved, but repeated optimization examinations are required
Solution Approach 1:
The automated feedback mechanism allows the system to quickly re-optimze after any hardware or software changes. The controller continuously monitors signal quality and automatically adjusts parameters based on measured regression signals, enabling rapid adaptation without manual re-examination.
Solution Approach 2:
The system transitions from static manual optimization to dynamic automated optimization. The controller can continuously or periodically re-perform the optimization examination automatically, allowing the system to adapt dynamically to changes in hardware, software, or environmental conditions without requiring manual intervention.
Data Source
AI summary
An apparatus for processing a video, a method of driving the apparatus for processing the video, and a computer readable recording medium are provided. The apparatus includes a storage unit configured to store a plurality of set values corresponding to at least one factor used for a quality measurement of a communication signal line, and a controller configured to transmit a plurality of test signals respectively corresponding to the plurality of set values to a signal receiver connected to the communication signal line and receive a plurality of regression signals respectively corresponding to the plurality of transmitted test signals from the signal receiver. The controller determines a set value of the factor based on the plurality of received regression signals and transmits a signal to the signal receiver based on the determined set value of the factor.