HIGHLIGHTS
- who: ENGINEER and colleagues from the Institution of have published the paper: A Method for Defect Detection of Objects Using Acoustical Signal Processing, in the Journal: (JOURNAL)
- what: In this research a method is proposed to overcome costly systems available in industry for detection of defective objects through frequency spectrum analysis. According to the direction of this work, to analyse and identify differences between objects, an algorithm is developed to obtain the spectrums of each signal and applied two audio feature extraction methods called Crosscorrelation and Mel Frequency Cepstrum Coefficients (MFCC) . The evaluation of this . . .
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