Triple

Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).

Phrase: Nyquist noise | Statement: [Harry Nyquist, hasConceptNamedAfter, Nyquist noise]

Target entity: Nyquist noise
Context triple: [Harry Nyquist, hasConceptNamedAfter, Nyquist noise]

• A. Nyquist theorem
  The Nyquist theorem is a fundamental principle in signal processing that states a continuous signal can be perfectly reconstructed from its samples if it is sampled at more than twice its highest frequency component.
• B. Thermal noise and Johnson–Nyquist noise theory chosen
  Thermal noise and Johnson–Nyquist noise theory is the foundational framework in electrical engineering and physics that quantifies the random voltage and current fluctuations arising from the thermal agitation of charge carriers in resistive components.
• C. Wiener–Khinchin theorem
  The Wiener–Khinchin theorem is a fundamental result in signal processing and probability theory that relates a wide-sense stationary random process’s autocorrelation function to its power spectral density via the Fourier transform.
• D. Nyquist plot
  The Nyquist plot is a graphical representation used in control engineering and signal processing to assess the stability and frequency response of linear time-invariant systems by plotting complex gain as a function of frequency.
• E. Wiener filter
  The Wiener filter is a signal processing technique that optimally estimates a desired signal from noisy observations by minimizing the mean square error, based on statistical properties of signal and noise.
• F. None of above.
• G. Unsure - the case is ambiguous/there is not enough information to decide.