Major refactor to ease duplicate computations and plotting

This commit is contained in:
Luke 2018-07-20 19:07:01 -07:00
parent d6d75b804f
commit 539c2f7481
4 changed files with 326 additions and 120 deletions

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tankComputers.py Normal file
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#!/usr/bin/env python3
import numpy as np
################################################################################
# Define my helper functions.
def dB20(volt_tf):
"""Describe signal gain of a transfer function in dB (i.e. 20log(x))"""
return 20*np.log10(np.abs(volt_tf))
def ang(volt_tf):
"""Describe phase of a transfer function in degrees. Not unwrapped."""
return 180/np.pi*np.angle(volt_tf)
def ang_unwrap(volt_tf):
"""Describe phase of a transfer function in degrees. With unwrapping."""
return 180/np.pi*np.unwrap(np.angle(volt_tf))
def dB10(pwr_tf):
"""Describe power gain of a transfer function in dB (i.e. 10log(x))"""
return 10*np.log10(np.abs(pwr_tf))
def dB2Vlt(dB20_value):
return np.power(10,dB20_value/20)
def wrap_rads(angles):
return np.mod(angles+np.pi,2*np.pi)-np.pi
def atand(x):
return 180/np.pi*np.arctan(x)
def rms_v_bw(err_sig, bandwidth_scale=1):
"""compute the rms vs bandwidth assuming a fixed center frequency"""
# First compute the error power
err_pwr = np.power(np.abs(err_sig),2)
steps = len(err_pwr)
isodd = True if steps%2 != 0 else False
# We want to generate the midpoint to the left, and midpoint to the right
# as two distinct sets.
pt_rhs_start = int(np.floor(steps/2))
pt_lhs_stop = int(np.ceil(steps/2))
folded = err_pwr[pt_rhs_start:] + np.flip(err_pwr[:pt_lhs_stop],0)
# Now, we MIGHT have double counted the mid point
# if the length is odd, correct for that
if isodd: folded[0]*=0.5
# Now we need an array that describes the number of points used to get here.
# this one turns out to be pretty easy.
frac_step = np.arange(int(not isodd),steps,2)/(steps-1)
ind = 2*np.arange(0,frac_step.shape[0])+1+int(not isodd)
# Now actually compute the RMS values. First do the running sum
rms = np.sqrt(np.cumsum(folded,0) / (ind*np.ones((folded.shape[1],1))).T )
return (frac_step*bandwidth_scale, rms)