# ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
# ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
# (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
# ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
# SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
import argparse
import numpy as np
import matplotlib.pyplot as plt
from nitime.viz import winspect
argParser = argparse.ArgumentParser()
argParser.add_argument('datafile')
args = argParser.parse_args()
time,signal = [],[]
fin = open(args.datafile, 'r')
for line in fin:
words = line.split(',')
time.append(float(words[1]))
signal.append(float(words[0]))
fin.close()
time,signal = np.array(time),np.array(signal)
fig01 = plt.figure()
winspect(signal, fig01)
plt.show()
""" For demonstration, we will use a window of 128 points: """ npts = 128 fig01 = plt.figure() # Boxcar with zeroed out fraction b = sig.boxcar(npts) zfrac = 0.15 zi = int(npts*zfrac) b[:zi] = b[-zi:] = 0 name = 'Boxcar - zero fraction=%.2f' % zfrac winspect(b, fig01, name) """ .. image:: fig/multi_taper_spectral_estimation_01.png The figure on the left shows a boxcar window and the figure on the right shows the spectrum of the boxcar function (in dB units, relative to the frequency band of interest). These two problems can together be mitigated through the use of other windows. Other windows have been designed in order to optimize the amount of spectral leakage and limit it to certain parts of the spectrum. The following example demonstrates the spectral leakage for several different windows (including the boxcar): """
For demonstration, we will use a window of 128 points: """ npts = 128 fig01 = plt.figure() # Boxcar with zeroed out fraction b = sig.boxcar(npts) zfrac = 0.15 zi = int(npts * zfrac) b[:zi] = b[-zi:] = 0 name = 'Boxcar - zero fraction=%.2f' % zfrac winspect(b, fig01, name) """ .. image:: fig/multi_taper_spectral_estimation_01.png The figure on the left shows a boxcar window and the figure on the right shows the spectrum of the boxcar function (in dB units, relative to the frequency band of interest). These two problems can together be mitigated through the use of other windows. Other windows have been designed in order to optimize the amount of spectral leakage and limit it to certain parts of the spectrum. The following example demonstrates the spectral leakage for several different windows (including the boxcar): """
""" For demonstration, we will use a window of 128 points: """ npts = 128 fig01 = plt.figure() # Boxcar with zeroed out fraction b = sig.boxcar(npts) zfrac = 0.15 zi = int(npts * zfrac) b[:zi] = b[-zi:] = 0 name = "Boxcar - zero fraction=%.2f" % zfrac winspect(b, fig01, name) """ .. image:: fig/multi_taper_spectral_estimation_01.png The figure on the left shows a boxcar window and the figure on the right shows the spectrum of the boxcar function (in dB units, relative to the frequency band of interest). These two problems can together be mitigated through the use of other windows. Other windows have been designed in order to optimize the amount of spectral leakage and limit it to certain parts of the spectrum. The following example demonstrates the spectral leakage for several different windows (including the boxcar): """
# ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
# ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
# (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
# ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
# SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
import argparse
import numpy as np
import matplotlib.pyplot as plt
from nitime.viz import winspect
argParser = argparse.ArgumentParser()
argParser.add_argument('datafile')
args = argParser.parse_args()
time, signal = [], []
fin = open(args.datafile, 'r')
for line in fin:
words = line.split(',')
time.append(float(words[1]))
signal.append(float(words[0]))
fin.close()
time, signal = np.array(time), np.array(signal)
fig01 = plt.figure()
winspect(signal, fig01)
plt.show()