fft_power Namespace Reference

Functions
def	fft_power (samples, samp_rate, num_bins=None, peak=1.0, scaling='density', peak_thresh=10)
def	main ()

Detailed Description

 fft_power.py

Calculate an estimate of the power spectral density
employing a Hann window and analyze bins for noise floor and peaks

INPUT:
    samples     - Numpy array of complex samples
    samp_rate   - Sampling rate
    num_bins    - Take FFTs of this size and average their bins
    peak        - Maximum value of a sample (floats are usually 1.0)
    scaling     - Scaling type. 'density' for power spectrum density
                  (units: V**2/Hz) or 'spectrum' for power spectum
                  (units: V**2)
    peak_thresh - detect peak 'peak_thresh' dBs above the noise floor


OUTPUT:
    freq        - Frequency index array
    sig_psd     - Array of FFT power bins
    nf          - Noise Floor (dB)
    peaks_found - List of tuples with tone freq and corresponding power


---------------------------------------------------------------------
 Copyright © 2018-2019. Rice University.
 RENEW OPEN SOURCE LICENSE: http://renew-wireless.org/license
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Function Documentation

fft_power()

def fft_power.fft_power	(		samples,
			samp_rate,
			num_bins = None,
			peak = 1.0,
			scaling = 'density',
			peak_thresh = 10
	)

main()

def fft_power.main

(

)

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