Television – Image signal processing circuitry specific to television – Noise or undesired signal reduction
Reexamination Certificate
2005-03-29
2005-03-29
Lee, Michael (Department: 2614)
Television
Image signal processing circuitry specific to television
Noise or undesired signal reduction
Reexamination Certificate
active
06873371
ABSTRACT:
Composite ghost cancellation reference (GCR) signals that make available both a chirp and a PN sequence during the same vertical-blanking-interval (VBI) scan line in each successive field facilitate more rapid and efficient calculations of ghost cancellation and of equalization, on a continuing basis. A television receiver for use with such composite GCR signals includes circuitry for separating the chirp and PN sequence portions of the GCR signals from the remainder of the composite video signal, a ghost cancellation filter and an equalization filter connected in cascade to respond to the composite video signal and provided each with adjustable filtering weights, and a computer. Random-access memory addressed during writing snatches the vertical-blanking-interval scan lines selected to include GCR signals. Sets of four successive ones of the selected scan lines are then additively and subtractively combined to separate the chirp portions of the GCR signals from a remainder of the composite video signal. The sets of selected scan lines are additively and subtractively combined in another way to separate the PN sequence portions of the GCR signals form a remainder of the composite video signal. The computer responds to the separated chirp portions of the GCR signals to calculate a discrete Fourier transform (DFT) therefrom. The computer proceeds from that DFT to determine the adjustable filtering weights of the ghost cancellation filter. The computer thereafter responds to the separated PN sequences to determine the adjustable filtering weights of the equalization filter.
REFERENCES:
patent: 4896213 (1990-01-01), Kobo et al.
patent: 5335009 (1994-08-01), Sun et al.
Patel Chandrakant Bhailalbhai
Yang Jian
Howrey Simon Arnold & White , LLP
Lee Michael
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