Blind deconvolution of audio-frequency signals using the self-deconvolving data restoration algorithm.
A signal processing algorithm has been developed in which a filter function is extracted from degraded data through mathematical operations. The filter function can be used to restore much of the degraded content of the data through use of a deconvolution process. The operation can be performed without prior knowledge of the detection system, a technique known as blind deconvolution. The extraction process, designated self-deconvolving data reconstruction algorithm, is applied here to audio-frequency signals showing significant qualitative improvement. Degradation arising from the process of electronic recording and reproduction is significantly reduced.
Caron
James N
JN
Research Support Instruments, 4325-B Forbes Boulevard, Lanham, Maryland 20901, USA. caron@researchsupport.com
D000162:Acoustics; D000465:Algorithms; D006801:Humans; D008297:Male; D008962:Models, Theoretical; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D013018:Sound Spectrography; D013061:Speech Acoustics; D013637:Tape Recording