Generalized noise cancellation in a communication channel
First Claim
1. A noise canceler for processing a channel output signal composed of a signal plus noise to produce a filtered channel output signal, the noise being a linear combination of first and second noise components, the canceler comprisinga parallel arrangement of a plurality of cascade networks, each cascade network being responsive to the signal and the noise to produce an output signal, wherein each cascade network includes:
- an inner product filter circuit having a filter characteristic determined from a first eigenvector equation corresponding to minimization of noise in the first noise component, in series with a second filter having a characteristic determined from a second eigenvector equation related to the first eigenvector equation, andmeans for combining the outputs of the second filters to produce the filtered channel output signal.
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Abstract
A generalized noise canceler for canceling noise in a channel having noise composed of correlated noise components. The noise canceler is realized with a finite number of cascade networks, each network being composed of an inner product filter is series with another filter wherein both filters have characteristics determined from a eigenvector equations expressed in terms of the channel operator and noise operator.
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Citations
10 Claims
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1. A noise canceler for processing a channel output signal composed of a signal plus noise to produce a filtered channel output signal, the noise being a linear combination of first and second noise components, the canceler comprising
a parallel arrangement of a plurality of cascade networks, each cascade network being responsive to the signal and the noise to produce an output signal, wherein each cascade network includes: - an inner product filter circuit having a filter characteristic determined from a first eigenvector equation corresponding to minimization of noise in the first noise component, in series with a second filter having a characteristic determined from a second eigenvector equation related to the first eigenvector equation, and
means for combining the outputs of the second filters to produce the filtered channel output signal. - View Dependent Claims (2)
- an inner product filter circuit having a filter characteristic determined from a first eigenvector equation corresponding to minimization of noise in the first noise component, in series with a second filter having a characteristic determined from a second eigenvector equation related to the first eigenvector equation, and
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3. A noise canceler for processing a channel output signal composed of a signal plus noise to produce a filtered channel output signal, the noise being a linear combination of first and second noise components, the canceler comprising
a parallel arrangement of a plurality of cascade networks, each cascade network being responsive to the signal and the noise and including: - a first filter having a filter characteristic determined from a first eigenvector equation corresponding to minimization of the noise in the first noise component;
a sampler responsive to the first filter; and
a second filter, coupled to the sampler, the second filter having a characteristic determined from a second eigenvector equation related to the first eigenvector equation, andmeans for combining the outputs of the second filters to produce the filtered channel output signal. - View Dependent Claims (4, 5)
- a first filter having a filter characteristic determined from a first eigenvector equation corresponding to minimization of the noise in the first noise component;
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6. A method for canceling noise in a channel output signal composed of a signal plus noise to produce a filtered channel output signal, the noise being a linear combination of first and second noise components, the method comprising the steps of
processing the signal plus noise with a plurality of cascade networks, each cascade network being responsive to the signal and the noise, wherein the processing in each cascade network includes the steps of: -
processing the signal and the noise with an inner product filter circuit having a filter characteristic determined from a first eigenvector equation corresponding to minimization of noise in the first noise component, and processing the output of the inner product filter with a second filter having a characteristic determined from a second eigenvector equation related to the first eigenvector equation, and combining the outputs of the second filters to produce the filtered channel output signal. - View Dependent Claims (7)
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8. A method for canceling noise in a channel output signal composed of a signal plus noise to produce a filtered channel output signal, the noise being a linear combination of first and second noise components, the method comprising the steps of
processing the signal plus noise with a plurality of cascade networks, each cascade network being responsive to the signal and the noise, wherein the processing in each cascade network includes the steps of: -
processing the signal and the noise with a first filter circuit having a filter characteristic determined from a first eigenvector equation corresponding to minimization of noise in the first noise component, sampling the output of the first filter at a predetermined rate to produce a sampled value, and processing the sampled value with a second filter having a characteristic determined from a second eigenvector equation related to the first eigenvector equation, and combining the outputs of the second filters to produce the filtered channel output signal. - View Dependent Claims (9, 10)
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Specification