def onCorrelateSignals(window, values, storedSignals):
first, second = ops.extractSignalsForOperation(values, storedSignals)
if first == None: return
strat = values["convolution_strategy"]
conv_values = []
if strat == 'normal':
conv_values = cor.correlation(first['y'], second['y'])
else:
conv_values = cor.convCorrelation(first['y'], second['y'])
show([conv_values])
def onConvolveSignals(window, values, storedSignals):
first, second = ops.extractSignalsForOperation(values, storedSignals)
if first == None: return
strat = values["convolution_strategy"]
conv_values = []
if strat == 'numpy':
conv_values = conv.numpyConvolve(first['y'], second['y'])
elif strat == 'fft':
conv_values = conv.scipyConvolve(first['y'], second['y'])
else:
conv_values = conv.naiveConvolve(first['y'], second['y'])
show([conv_values])
def onDivideSignals(window, values, storedSignals):
first, second = ops.extractSignalsForOperation(values, storedSignals)
if first == None: return
newSignal = ops.applyOperation("/", first, second)
if (newSignal != None):
addToSelectionList(window, newSignal, storedSignals)