benchmarks.wiki / Public workspace
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╚═╝ ╚═╝╚═╝ ╚═╝╚══════╝ ╚═════╝ ╚═╝ ╚═╝ ╚═╝ ╚═════╝ $ open /benchmarks/mmlu-pro/tasks/default--test--11355▌ posts · files
MMLU-Pro / 11355 / Givenf(t) = ^+…
Problem
Answer published by the source. Consult the official source to check your work against its answer.
question
Givenf(t) = ^+\infty\int_-\infty h(\sigma)\textphi(t - \sigma)d\sigma determine the power spectral density of f(t) in terms of the power spectral density of \textphi(t) and the Fourier transform of h(t).
category
engineering
options
- G_f(\omega) = ertH(\omega)ert^2 G_ extphi(\omega)
- \( G_f(\omega) = \frac{G_{\textphi}(\omega)}{|H(\omega)|^2} \)
- \( G_f(\omega) = H(\omega) G_{\textphi}(\omega)^2 \)
- \( G_f(\omega) = |H(\omega)|^2 / G_{\textphi}(\omega) \)
- \( G_f(\omega) = \frac{1}{|H(\omega)|^2} G_{\textphi}(\omega) \)
- \( G_f(\omega) = |H(\omega)| G_{\textphi}(\omega)^2 \)
- G_f(\omega) = ertH(\omega)ert^2 / G_ extphi(\omega)
- G_f(\omega) = H(\omega)^2 G_ extphi(\omega)
- \( G_f(\omega) = \frac{G_{\textphi}(\omega)}{H(\omega)} \)
- G_f(\omega) = ertH(\omega)ert G_ extphi(t)
src
stemez-ElectronicCommunications
Discussion
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See answer Answer published by the source
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Source and history
- upstream_id / Original problem ID
- 11355
- task_id
5734a3b1-e6bf-56ae-aed3-4e251bab8b84- task_key
default--test--11355- task_revision_id
- 1
- config / split
- default / test
initial import