) self.low_f_modes = v # Now subtract out the noisiest channel modes and see what is left. n_modes_subtract = 10 mode_subtracted_power_mat = sp.copy(self.power_mat.real) mode_subtracted_auto_power = sp.empty((n_modes_subtract, n_freq)) for ii in range(n_modes_subtract): mode...
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The range of the data 15, 18, 17, 16, 14, x, 12, 10, 9, 15 is 9. Which... 01:33 The range of a data is x, the median and the mode of the data is 7 eac... 02:18 For a pie chart, a studen t calculates the central angle of a componen... 02:29 In a bar graph...
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Mean, Median, Mode, Range mean-average boiling point Mean-Field Force Approximation Mean-Field-Type Game Mean-motion resonance Mean-Reverting Jump Diffusion Mean-reverting process Mean-Shape Vector Quantization Mean-Sign-Change with Cyclic Redundancy Check mean-spirited mean-spirited mean-spirited mean-...