gradient based non-linear least squares real time optimization method Search Results


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Average elapsed time for CDT, MUSIC, and WBAF based estimators. Experiments were run using <t>MATLAB</t> version: 9.4.0 (R2018a) on a computer with an Intel Xeon(R) CPU E5-2630 v3 processor running at 2.40 GHz using 32 GB of RAM.
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Average elapsed time for CDT, MUSIC, and WBAF based estimators. Experiments were run using <t>MATLAB</t> version: 9.4.0 (R2018a) on a computer with an Intel Xeon(R) CPU E5-2630 v3 processor running at 2.40 GHz using 32 GB of RAM.
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Average elapsed time for CDT, MUSIC, and WBAF based estimators. Experiments were run using <t>MATLAB</t> version: 9.4.0 (R2018a) on a computer with an Intel Xeon(R) CPU E5-2630 v3 processor running at 2.40 GHz using 32 GB of RAM.
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Average elapsed time for CDT, MUSIC, and WBAF based estimators. Experiments were run using <t>MATLAB</t> version: 9.4.0 (R2018a) on a computer with an Intel Xeon(R) CPU E5-2630 v3 processor running at 2.40 GHz using 32 GB of RAM.
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Average elapsed time for CDT, MUSIC, and WBAF based estimators. Experiments were run using <t>MATLAB</t> version: 9.4.0 (R2018a) on a computer with an Intel Xeon(R) CPU E5-2630 v3 processor running at 2.40 GHz using 32 GB of RAM.
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Average elapsed time for CDT, MUSIC, and WBAF based estimators. Experiments were run using <t>MATLAB</t> version: 9.4.0 (R2018a) on a computer with an Intel Xeon(R) CPU E5-2630 v3 processor running at 2.40 GHz using 32 GB of RAM.
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Average elapsed time for CDT, MUSIC, and WBAF based estimators. Experiments were run using <t>MATLAB</t> version: 9.4.0 (R2018a) on a computer with an Intel Xeon(R) CPU E5-2630 v3 processor running at 2.40 GHz using 32 GB of RAM.
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Average elapsed time for CDT, MUSIC, and WBAF based estimators. Experiments were run using MATLAB version: 9.4.0 (R2018a) on a computer with an Intel Xeon(R) CPU E5-2630 v3 processor running at 2.40 GHz using 32 GB of RAM.

Journal: IEEE transactions on signal processing : a publication of the IEEE Signal Processing Society

Article Title: Parametric Signal Estimation Using the Cumulative Distribution Transform

doi: 10.1109/tsp.2020.2997181

Figure Lengend Snippet: Average elapsed time for CDT, MUSIC, and WBAF based estimators. Experiments were run using MATLAB version: 9.4.0 (R2018a) on a computer with an Intel Xeon(R) CPU E5-2630 v3 processor running at 2.40 GHz using 32 GB of RAM.

Article Snippet: To implement a continuous delay estimator, an optimization problem is designed that provides maximum likelihood estimates, τ ̃ = argmax τ − ∑ i = 0 N − 1 z η ( t i ) z ( t i − τ ) (40) To solve this optimization problem we exploit a gradient based nonlinear programming solver fmincon in MATLAB [ 43 ].

Techniques: