Adaptive Pixel Filtering for Mobile Video Reception Noise Control
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Solution Overview
Problem
Conventional video broadcast systems are not designed for mobile reception, leading to complications such as time-varying channel quality, fading, and variable signal-to-noise ratios, which result in poor video reception quality due to the lack of flexibility in antenna direction adjustment and increased distance from the transmitter.
Innovation Solution
An adaptive filtering system that includes an antenna, an analog-to-digital converter, a frame buffer memory, and an adaptive filter, which calculates a forgetting factor for each pixel to filter noise and adjust the signal quality based on channel power and noise power estimates, ensuring sustainable high video quality in various channel conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If mobile reception is implemented without adaptive filtering, then device mobility is enabled, but video reception quality deteriorates due to time-varying channel quality and fading
Solution Approach 1:
The patent implements dynamic adaptive filtering where the filter coefficients are continuously adjusted based on time-varying channel conditions. The system calculates optimal filter parameters in real-time to track channel variations, enabling mobile reception while maintaining video quality through dynamic adaptation to fading and signal level changes.
Solution Approach 2:
The patent employs feedback mechanisms where the received signal quality is continuously monitored and used to adjust the adaptive filter parameters. The system measures channel conditions and feeds this information back to modify the filtering operation, creating a closed-loop system that maintains video reception quality despite mobile channel variations.
2Device complexity
If conventional filtering is used in mobile reception, then device complexity is reduced, but video quality deteriorates due to variable signal-to-noise ratio
Solution Approach 1:
The patent changes the parameters of the filter dynamically based on channel conditions. Instead of using fixed filter coefficients, the system adjusts filter parameters such as cutoff frequencies and gain values in real-time according to the measured signal-to-noise ratio and channel state, thereby maintaining video quality without requiring overly complex filtering structures.
3Reliability
If adaptive filtering with forgetting factor is implemented, then video quality is maintained in varying channel conditions, but computational complexity increases
Solution Approach 1:
The patent applies partial averaging through the forgetting factor mechanism, where only recent samples are weighted heavily while older samples are gradually discounted. This partial action approach maintains video quality by focusing computational effort on relevant recent channel conditions rather than processing all historical data equally, thereby reducing overall computational complexity while preserving reliability.
Data Source
AI summary
An apparatus and a method for adaptive filtering includes an antenna that receives analog video broadcast signal data; an analog-to-digital converter coupled to the antenna and converting the received analog video broadcast signal data to digital video signal data; a frame buffer memory storing the digital video signal data; an instruction memory storing adaptive filtering instructions; and an adaptive filter coupled to the memory and the analog-to-digital converter, wherein the adaptive filter: reads the adaptive filter instructions from the memory; executes the adaptive filter instructions; averages an input pixel with a corresponding pixel stored in the frame buffer memory; calculates a forgetting factor for each pixel in the plurality of pixel values stored in the frame buffer memory; and filters noise from each pixel of the plurality of pixel values stored in the frame buffer memory based on the forgetting factor.