Delay Estimation Method and Apparatus

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Delay Estimation Method and Apparatus - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240223982 titled 'Delay Estimation Method and Apparatus

The abstract of a patent application describes a delay estimation method that involves determining a cross-correlation coefficient of a multi-channel signal in the current frame, estimating a delay track value based on past frame information, determining an adaptive window function, weighting the cross-correlation coefficient based on the delay track value and adaptive window function, and calculating the inter-channel time difference of the current frame.

The method involves analyzing multi-channel signals to estimate delays accurately.
It utilizes past frame information to improve the accuracy of delay estimation.
An adaptive window function is applied to enhance the performance of the estimation process.
Weighting is used to adjust the cross-correlation coefficient based on the delay track value and adaptive window function.
The method ultimately calculates the inter-channel time difference of the current frame.

Potential Applications: - Audio and video synchronization in multimedia systems. - Radar and sonar signal processing for accurate target detection. - Communication systems for precise data transmission.

Problems Solved: - Improving accuracy in delay estimation of multi-channel signals. - Enhancing synchronization in various systems. - Optimizing signal processing for better performance.

Benefits: - Increased accuracy in delay estimation. - Improved synchronization in multi-channel systems. - Enhanced performance in signal processing applications.

Commercial Applications: Title: "Advanced Delay Estimation Method for Improved Signal Processing" This technology can be applied in industries such as telecommunications, audio/video production, radar systems, and medical imaging for precise data analysis and synchronization. The market implications include improved product performance, better user experience, and increased efficiency in various applications.

Questions about Delay Estimation Method: 1. How does the adaptive window function contribute to the accuracy of delay estimation? The adaptive window function helps in focusing on relevant signal components, improving the accuracy of delay estimation in multi-channel systems.

2. What are the potential challenges in implementing this delay estimation method in real-time systems? Implementing this method in real-time systems may face challenges related to computational complexity, memory requirements, and processing speed.

Original Abstract Submitted

a delay estimation method includes determining a cross-correlation coefficient of a multi-channel signal of a current frame, determining a delay track estimation value of the current frame based on buffered inter-channel time difference information of at least one past frame, determining an adaptive window function of the current frame, performing weighting on the cross-correlation coefficient based on the delay track estimation value of the current frame and the adaptive window function of the current frame, to obtain a weighted cross-correlation coefficient, and determining an inter-channel time difference of the current frame based on the weighted cross-correlation coefficient.