摘要:
An apparatus including a first hollow tube having an inner chamber and an outer peripheral surface, a cable having outer insulation and an inner conductor wire, and a hand held device for blowing hot air. The first hollow tube may have an inner diameter which is greater than an outer diameter of the cable so that the first hollow tube can be slid over the cable, so that a portion of the cable resides in the inner chamber of the first hollow tube in a first state. The cable may have a length which is substantially greater than a length of the first hollow tube. The hand held device for blowing hot air may be configured to blow hot air on the outer peripheral surface of the first tube, in the first state, to cause the first tube to shrink and become attached to the cable to repair a defect in the cable.
摘要:
A computer implemented method for automatically detecting and classifying acoustic signatures across a set of recording conditions is disclosed. A first acoustic signature is received. The first acoustic signature is projected into a space of a minimal set of exemplars of acoustic signature types derived from a larger set of exemplars using a wrapper method. At least one vector distance is calculated between the projected acoustic signature and each exemplar of the minimal set of exemplars. An exemplar is selected from the minimal set of exemplars having the smallest vector distance to the projected acoustic signature as a class corresponding to and classifying the first acoustic signature. The first acoustic signature and the plurality of acoustic signatures may correspond to one of gunshots, musical instruments, songs, and speech. The minimal set of exemplars may correspond to a hierarchy of acoustic signature types.
摘要:
A computer implemented method for automatically detecting and classifying acoustic signatures across a set of recording conditions is disclosed. A first acoustic signature is received. The first acoustic signature is projected into a space of a minimal set of exemplars of acoustic signature types derived from a larger set of exemplars using a wrapper method. At least one vector distance is calculated between the projected acoustic signature and each exemplar of the minimal set of exemplars. An exemplar is selected from the minimal set of exemplars having the smallest vector distance to the projected acoustic signature as a class corresponding to and classifying the first acoustic signature. The first acoustic signature and the plurality of acoustic signatures may correspond to one of gunshots, musical instruments, songs, and speech. The minimal set of exemplars may correspond to a hierarchy of acoustic signature types.