class WindowedAverage:
def __init__(self, window):
if have_numpy:
self.window = numpy.array(window)
else:
self.window = list(window)
self.buffer = Ringbuffer(len(window))
def new_sample(self, x):
self.buffer.new_sample(x)
if have_numpy:
avg = numpy.mean(self.buffer.get_samples() * self.window)
else:
i = 0
sum = 0
for s in self.buffer.get_samples():
sum += self.window[i]*s
i = i + 1
avg = sum/len(self.window)
return avg
class Erosion:
def __init__(self, window):
self.window = window
self.buffer = Ringbuffer(window)
def new_sample(self, x):
self.buffer.new_sample(x)
return min(self.buffer.get_samples())
class Erosion:
def __init__(self, window):
self.window = window
self.buffer = Ringbuffer(window)
def new_sample(self, x):
self.buffer.new_sample(x)
return min(self.buffer.get_samples())
class WindowedReduceFilter:
def __init__(self, binop, window):
self.state = None
self.window = window
self.buffer = Ringbuffer(window)
self.binop = binop
def new_sample(self, x):
self.buffer.new_sample(x)
samples = self.buffer.get_samples()
state = reduce(self.binop, samples)
return state
class WindowedReduceFilter:
def __init__(self, binop, window):
self.state = None
self.window = window
self.buffer = Ringbuffer(window)
self.binop = binop
def new_sample(self, x):
self.buffer.new_sample(x)
samples = self.buffer.get_samples()
state = reduce(self.binop, samples)
return state
class WindowedAverage:
def __init__(self, window):
if have_numpy:
self.window = numpy.array(window)
else:
self.window = list(window)
self.buffer = Ringbuffer(len(window))
def new_sample(self, x):
self.buffer.new_sample(x)
if have_numpy:
avg = numpy.mean(self.buffer.get_samples() * self.window)
else:
i = 0
sum = 0
for s in self.buffer.get_samples():
sum += self.window[i] * s
i = i + 1
avg = sum / len(self.window)
return avg
class Median:
def __init__(self, window):
self.window = window
self.buffer = Ringbuffer(window)
def new_sample(self, x):
self.buffer.new_sample(x)
b = list(self.buffer.get_samples())
b.sort()
lb = len(b)
# even case
if lb % 2 == 0:
return b[len(b) / 2] + b[len(b) / 2 + 1]
else:
# odd case
return b[len(b + 1) / 2]
class Median:
def __init__(self, window):
self.window = window
self.buffer = Ringbuffer(window)
def new_sample(self, x):
self.buffer.new_sample(x)
b = list(self.buffer.get_samples())
b.sort()
lb = len(b)
# even case
if lb%2==0:
return b[len(b)/2]+b[len(b)/2+1]
else:
# odd case
return b[len(b+1)/2]
