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import core.modules
import core.modules.module_registry
from core.modules.vistrails_module import Module, ModuleError
from SciPy import SciPy
from Matrix import *
import scipy
import scipy.signal
from scipy import sparse, fftpack
import numpy
class DSPFilters(SciPy):
def compute(self):
pass
class HanningWindow(DSPFilters):
def compute(self):
size = self.getInputFromPort("Window Size")
out = SparseMatrix()
out.matrix = sparse.csc_matrix(scipy.signal.hanning(size))
self.setResult("Window", out)
class TriangularWindow(DSPFilters):
def compute(self):
size = self.getInputFromPort("Window Size")
out = SparseMatrix()
out.matrix = sparse.csc_matrix(scipy.signal.triang(size))
self.setResult("Window", out)
class BlackmanWindow(DSPFilters):
def compute(self):
size = self.getInputFromPort("Window Size")
out = SparseMatrix()
out.matrix = sparse.csc_matrix(scipy.signal.blackman(size))
self.setResult("Window", out)
class BlackmanHarrisWindow(DSPFilters):
def compute(self):
size = self.getInputFromPort("Window Size")
out = SparseMatrix()
out.matrix = sparse.csc_matrix(scipy.signal.blackmanharris(size))
self.setResult("Window", out)
class ParzenWindow(DSPFilters):
def compute(self):
size = self.getInputFromPort("Window Size")
out = SparseMatrix()
out.matrix = sparse.csc_matrix(scipy.signal.parzen(size))
self.setResult("Window", out)
class HammingWindow(DSPFilters):
def compute(self):
size = self.getInputFromPort("Window Size")
out = SparseMatrix()
out.matrix = sparse.csc_matrix(scipy.signal.hamming(size))
self.setResult("Window", out)
class KaiserWindow(DSPFilters):
def compute(self):
size = self.getInputFromPort("Window Size")
beta = self.getInputFromPort("Beta")
out = SparseMatrix()
out.matrix = sparse.csc_matrix(scipy.signal.kaiser(size, beta))
self.setResult("Window", out)
class BartlettHannWindow(DSPFilters):
def compute(self):
size = self.getInputFromPort("Window Size")
out = SparseMatrix()
out.matrix = sparse.csc_matrix(scipy.signal.barthann(size))
self.setResult("Window", out)
class GaussianWindow(DSPFilters):
def compute(self):
size = self.getInputFromPort("Window Size")
sigma = self.getInputFromPort("Sigma")
out = SparseMatrix()
out.matrix = sparse.csc_matrix(scipy.signal.gaussian(size, sigma))
self.setResult("Window", out)
class BoxcarWindow(DSPFilters):
def compute(self):
size = self.getInputFromPort("Window Size")
out = SparseMatrix()
out.matrix = sparse.csc_matrix(scipy.signal.boxcar(size))
self.setResult("Window", out)
class BohmanWindow(DSPFilters):
def compute(self):
size = self.getInputFromPort("Window Size")
out = SparseMatrix()
out.matrix = sparse.csc_matrix(scipy.signal.bohman(size))
self.setResult("Window", out)
class BartlettWindow(DSPFilters):
def compute(self):
size = self.getInputFromPort("Window Size")
out = SparseMatrix()
out.matrix = sparse.csc_matrix(scipy.signal.bartlett(size))
self.setResult("Window", out)
class NuttallBlackmanHarrisWindow(DSPFilters):
def compute(self):
size = self.getInputFromPort("Window Size")
out = SparseMatrix()
out.matrix = sparse.csc_matrix(scipy.signal.nuttall(size))
self.setResult("Window", out)
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