Energy-based process for the detection of signals drowned in noise
First Claim
1. A process for detecting a transmitted useful signal drowned in noise, comprising the steps of:
- receiving a noisy signal;
partitioning a portion of the received noisy signal into L frames of N samples;
calculating energies of each of said L frames;
determining an optimum threshold, s;
preclassifying M of said L frames into a set Δ
by using a predetermined set of ratios, m, α
1 and α
2 which define characteristic signal-to-noise ratios of the noisy signal;
calculating an average noise energy value, E0, from the frames in Δ
as determined in the preclassifying step; and
detecting for each frame not in set Δ
if a useful signal exists by using the average noise energy value, E0.
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Accused Products
Abstract
The energy-based process according to the invention for the detection of useful signals drowned in noise consists of starting from a frame of samples of a noisy signal grouped in successive frames, making a pre-classification by comparing the energies of successive samples of each frame with a determined optimum threshold and sorting samples which have a high probability of belonging to a "noise only" class into this class, and then for each of these samples detecting those that have a sufficiently high energy so that they have a high probability of belonging to a "noise+useful signal" class, this second class being defined using the first class as a reference.
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Citations
21 Claims
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1. A process for detecting a transmitted useful signal drowned in noise, comprising the steps of:
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receiving a noisy signal; partitioning a portion of the received noisy signal into L frames of N samples; calculating energies of each of said L frames; determining an optimum threshold, s; preclassifying M of said L frames into a set Δ
by using a predetermined set of ratios, m, α
1 and α
2 which define characteristic signal-to-noise ratios of the noisy signal;calculating an average noise energy value, E0, from the frames in Δ
as determined in the preclassifying step; anddetecting for each frame not in set Δ
if a useful signal exists by using the average noise energy value, E0. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A process for detecting a transmitted useful signal drowned in noise, comprising the steps of:
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receiving a noisy signal; partitioning a portion of the received noisy signal into L frames of N samples; calculating energies of each of said L frames; determining an optimum threshold, s; preclassifying M of said L frames into a set Δ
by using a predetermined set of ratios, m, α
1 and α
2 which define characteristic signal-to-noise ratios of the noisy signal;calculating an average noise energy value, E0, from the frames in Δ
as determined in the preclassifying step;whitening each of said L frames not in α
; anddetecting for each frame not in set Δ
if a useful signal exists by using the average noise energy value, E0. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A process for detecting a transmitted useful signal drowned in noise, comprising the steps of:
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receiving a noisy signal; partitioning a portion of the received noisy signal into L frames of N samples; calculating energies of each of said L frames; determining an optimum threshold, s; preclassifying M of said L frames into a set Δ
by using a predetermined set of ratios, m, α
1 and α
2 which define characteristic signal-to-noise ratios of the noisy signal;calculating an average noise energy value, E0, from the frames in Δ
as determined in the preclassifying step;filtering each of said L frames not in Δ
; anddetecting for each frame not in set Δ
if a useful signal exists by using the average noise energy value, E0. - View Dependent Claims (16, 17, 18, 19, 20, 21)
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Specification