Method and apparatus of spectral estimation
First Claim
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1. A method of spectral estimation for a data stream D of sampled data, the method comprising:
- selecting a first set of samples from the data stream D; and
selecting other sets of samples to successively combine with the first set to create a combined set of samples until a measure of a signal to noise ratio for an estimated spectrum of the combined set of samples indicates a target signal to noise ratio is achieved.
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Abstract
A spectrum of a set of samples from a data stream of sampled data is estimated until a targeted signal to noise ratio is achieved.
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Citations
44 Claims
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1. A method of spectral estimation for a data stream D of sampled data, the method comprising:
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selecting a first set of samples from the data stream D; and
selecting other sets of samples to successively combine with the first set to create a combined set of samples until a measure of a signal to noise ratio for an estimated spectrum of the combined set of samples indicates a target signal to noise ratio is achieved. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A method of estimating a spectrum of sampled data at a set of frequencies of interest F, the method comprising:
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selecting timestamped samples from the sampled data to produce a set of samples;
evaluating a measure of a signal to noise ratio of an estimated spectrum for the set of samples;
successively selecting additional timestamped samples to combine with the set of samples; and
re-evaluating the measure of the signal to noise ratio of the estimated spectrum for the combined set of samples, wherein successively selecting and re-evaluating are repeated until the measure is less than a predetermined limit λ
, the measure being less than the predetermined limit λ
indicating a target signal to noise ratio is achieved. - View Dependent Claims (15, 16, 17, 18, 19)
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20. A method of spectral estimation for a data stream D of sampled data comprising:
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constructing a least-squares (L-S) matrix A, the L-S matrix A comprising a basis set of a Fourier Transform, and timestamps of samples selected from the data stream D;
solving a least-squares fitting problem for a solution vector x representing Fourier coefficients of an estimated spectrum using a vector b comprising values of the selected samples; and
extracting the Fourier coefficients of the estimated spectrum from the solution vector x, the Fourier coefficients representing the estimated spectrum, wherein the samples are successively selected from the data stream D, and wherein the least-squares fitting problem is solved until a targeted signal to noise ratio of the estimated spectrum is achieved. - View Dependent Claims (21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31)
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32. A spectral estimator comprising:
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a computer processor;
memory; and
a computer program stored in the memory and executed by the computer processor, wherein the computer program comprises instructions that, when executed by the processor, implement selecting a first set of samples from a data stream of timestamped samples, and further implement subsequently selecting other sets of timestamped samples to successively combine with the first set to create a combined set of samples until a measure of a signal to noise ratio for an estimated spectrum of the combined set of samples indicates a target signal to noise ratio is achieved. - View Dependent Claims (33, 34, 35, 36, 37)
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38. A spectral estimator that uses timestamped samples from sampled data, the spectral estimator comprising:
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a computer processor;
memory; and
a computer program stored in the memory and executed by the computer processor, wherein the computer program comprises instructions that, when executed by the processor, implement selecting timestamped samples from the sampled data to produce a set of samples, implement evaluating a measure of a signal to noise ratio of an estimated spectrum for the set of samples, implement successively selecting additional timestamped samples to combine with the set of samples, and implement re-evaluating the measure of the signal to noise ratio of the estimated spectrum for the combined set of samples, successively selecting and re-evaluating being repeated until the measure is less than a predetermined limit λ
, wherein a target signal to noise ratio is achieved when the measure is less than the predetermined limit λ
. - View Dependent Claims (39, 40, 41, 42)
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43. A test system employing spectral estimation comprising:
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an excitation source that connects to an input of a device under test;
a sampler that connects to an output of the device under test; and
a spectral estimator connected to an output of the sampler, the sampler providing sampled data from the device under test to the spectral estimator, wherein the spectral estimator implements selecting timestamped samples from the sampled data to produce a set of samples, implements evaluating a measure of a signal to noise ratio of an estimated spectrum for the set of samples, implements successively selecting additional timestamped samples to combine with the set of samples, and implements re-evaluating the measure of the signal to noise ratio of the estimated spectrum for the combined set of samples, successively selecting and re-evaluating being repeated until the measure is less than a predetermined limit λ
, wherein a target signal to noise ratio is achieved when the measure is less than the predetermined limit λ
. - View Dependent Claims (44)
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Specification