Analysis of Adaptive Configuration of Intelligent Sound System Based on K-means
This paper describes using the collected wireless received signal strength indicator(RSSI)parameters as the raw dataset,and using the K-means algorithm to calculate the center values of each cluster sample in each dataset,generating a set of sample center values for the dataset.Compare each center value group with a pre stored reference standard base to obtain the sum of differences,and use this to identify the functions of each speaker and perform judgment verification confirmation.Finally,automatic matching and connection between the sound source channel and the speaker are carried out to achieve adaptive configuration of the sound source channel in the intelligent audio system.
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