Module wavelet.compression.compressor_magnitude
Compression using the average of signal as a magnitude
Expand source code
""" Compression using the average of signal as a magnitude """
import numpy as np
from wavelet.compression.compressor import Compressor
class CompressorMagnitude:
"""
The average of the signal is used to perform the compression on the input
data signal. Check the Compressor class on how the thresholding is done
with the magnitude
Attributes
----------
__magnitude: float
magnitude calculated using the average of the signal
__compressor: Compressor
object to call the compress function using the magnitude calculated
"""
def __init__(self):
self.__magnitude = 0.
self.__compressor = Compressor()
def compress(self, data):
"""
Apply thresholding techniques to remove the signal below the magnitude
Parameters
----------
data: array_like
input data signal, mostly coefficients output of the decompose
Returns
-------
array_like
thresholded data/ coefficients
"""
data = np.asanyarray(data)
self.__magnitude = np.sum(data.flatten(), axis=0)
return self.__compressor.compress(data, (self.__magnitude / len(data)))
def getCompressionRate(self, data):
"""
Run the compression calculation on the data to check how well the compressor
performed
Parameters
----------
data: array_like
input data from the final step of re-construction
Returns
-------
float
percentage of the compression
"""
return self.__compressor.calculateCompressionRate(data)
def getMagnitude(self):
"""
Returns the calculated magnitude
Returns
-------
float
calculated magnitude
"""
return self.__magnitudeClasses
class CompressorMagnitude-
The average of the signal is used to perform the compression on the input data signal. Check the Compressor class on how the thresholding is done with the magnitude
Attributes
__magnitude:float- magnitude calculated using the average of the signal
__compressor:Compressor- object to call the compress function using the magnitude calculated
Expand source code
class CompressorMagnitude: """ The average of the signal is used to perform the compression on the input data signal. Check the Compressor class on how the thresholding is done with the magnitude Attributes ---------- __magnitude: float magnitude calculated using the average of the signal __compressor: Compressor object to call the compress function using the magnitude calculated """ def __init__(self): self.__magnitude = 0. self.__compressor = Compressor() def compress(self, data): """ Apply thresholding techniques to remove the signal below the magnitude Parameters ---------- data: array_like input data signal, mostly coefficients output of the decompose Returns ------- array_like thresholded data/ coefficients """ data = np.asanyarray(data) self.__magnitude = np.sum(data.flatten(), axis=0) return self.__compressor.compress(data, (self.__magnitude / len(data))) def getCompressionRate(self, data): """ Run the compression calculation on the data to check how well the compressor performed Parameters ---------- data: array_like input data from the final step of re-construction Returns ------- float percentage of the compression """ return self.__compressor.calculateCompressionRate(data) def getMagnitude(self): """ Returns the calculated magnitude Returns ------- float calculated magnitude """ return self.__magnitudeMethods
def compress(self, data)-
Apply thresholding techniques to remove the signal below the magnitude
Parameters
data:array_like- input data signal, mostly coefficients output of the decompose
Returns
array_like- thresholded data/ coefficients
Expand source code
def compress(self, data): """ Apply thresholding techniques to remove the signal below the magnitude Parameters ---------- data: array_like input data signal, mostly coefficients output of the decompose Returns ------- array_like thresholded data/ coefficients """ data = np.asanyarray(data) self.__magnitude = np.sum(data.flatten(), axis=0) return self.__compressor.compress(data, (self.__magnitude / len(data))) def getCompressionRate(self, data)-
Run the compression calculation on the data to check how well the compressor performed
Parameters
data:array_like- input data from the final step of re-construction
Returns
float- percentage of the compression
Expand source code
def getCompressionRate(self, data): """ Run the compression calculation on the data to check how well the compressor performed Parameters ---------- data: array_like input data from the final step of re-construction Returns ------- float percentage of the compression """ return self.__compressor.calculateCompressionRate(data) def getMagnitude(self)-
Returns the calculated magnitude
Returns
float- calculated magnitude
Expand source code
def getMagnitude(self): """ Returns the calculated magnitude Returns ------- float calculated magnitude """ return self.__magnitude