TSINGHUA UNIVERSITY (20240255607). SOUND SOURCE IDENTIFICATION METHOD AND SYSTEM BASED ON ARRAY MEASUREMENT AND SPARSE PRIOR INFORMATION simplified abstract
SOUND SOURCE IDENTIFICATION METHOD AND SYSTEM BASED ON ARRAY MEASUREMENT AND SPARSE PRIOR INFORMATION
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SOUND SOURCE IDENTIFICATION METHOD AND SYSTEM BASED ON ARRAY MEASUREMENT AND SPARSE PRIOR INFORMATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240255607 titled 'SOUND SOURCE IDENTIFICATION METHOD AND SYSTEM BASED ON ARRAY MEASUREMENT AND SPARSE PRIOR INFORMATION
The present disclosure introduces a method for sound source identification using array measurement and sparse prior information.
- Generalized minimax concave penalty function applies a sparse constraint on sound source reconstruction error.
- Position information of potential sound sources is determined based on a basic sound image generated by conventional beamforming.
- An initial solution vector is generated with sound source position prior information in a specific way, improving computational efficiency.
- Proximal gradient acceleration and adaptive step size backtracking strategy enhance iterative convergence speed.
- High-resolution and high-efficiency sound source identification is achieved using a microphone array.
- Potential Applications:**
This technology can be used in noise cancellation systems, surveillance systems, and acoustic imaging applications.
- Problems Solved:**
This technology addresses the challenges of accurately identifying sound sources in complex environments with background noise.
- Benefits:**
Improved computational efficiency, faster sound field reconstruction, and high-resolution sound source identification.
- Commercial Applications:**
Title: Advanced Sound Source Identification Technology This technology can be applied in smart speakers, security systems, and automotive noise reduction systems, enhancing their performance and accuracy.
- Questions about Sound Source Identification:**
1. How does this technology improve computational efficiency in sound source identification?
- The technology uses sparse prior information and a penalty function to constrain the reconstruction error, reducing the computational complexity.
2. What are the potential applications of sound source identification using a microphone array?
- The technology can be utilized in various fields such as surveillance, noise cancellation, and acoustic imaging for accurate sound source localization.
Original Abstract Submitted
the present disclosure provides sound source identification based on array measurement and sparse prior information, which uses a generalized minimax concave penalty function to apply a sparse constraint on a sound source reconstruction error, determines position information of a potential sound source according to a basic sound image generated by a conventional beamforming method, and generates an initial solution vector including a sound source position prior information in a specific way. compared with using a random initial value and a zero initial value, computational efficiency of the disclosed sound field reconstruction method is improved. further, an iterative convergence speed is improved by using a proximal gradient acceleration and an adaptive step size backtracking strategy, an optimal step size that can meet convergence is adaptively selected, and sound field reconstruction can be completed more quickly. the present disclosure realizes high-resolution and high-efficiency sound source identification by using a microphone array.
