def main():
t = Topology("FFT_Sample")
readings = t.source(signal_generator.Readings(50)).transform(
TumblingWindow(10))
fftStream = readings.transform(fftpack.fft)
fftStream.sink(print)
streamsx.topology.context.submit("STANDALONE", t.graph)
def main():
ref_signal = signal.hann(10)
t = Topology("FFTConvolve_Sample")
readings = t.source(signal_generator.Readings(10000)).transform(TumblingWindow(1000))
convolveStream = readings.transform(signal_functions.FFTConvolve(ref_signal))
convolveStream.sink(print)
streamsx.topology.context.submit("STANDALONE", t.graph)
def main():
filter_order = 4
cutoffFreq = 100
sampleRate = 1000
t = Topology("LowpassFilter_Sample")
readings = t.source(signal_generator.Readings(50000)).transform(TumblingWindow(2000))
filterStream = readings.transform(butterworth.Lowpass(filter_order, cutoffFreq, sampleRate))
filterStream.sink(print)
streamsx.topology.context.submit("STANDALONE", t.graph)