A High Performance Beryllium Dome Diaphragm ... - Materion
A High Performance Beryllium Dome Diaphragm ... - Materion A High Performance Beryllium Dome Diaphragm ... - Materion
Buck, et al.High Performance Beryllium Dome DiaphragmCLIO's wavelet analysis tool is implemented using a kernel of modified complex Morlet waveletsand can be interpreted as a constant Q analysis. Time resolution is high at high frequencies andnot too low at low frequencies. Thus, the wavelet analysis overcomes the fixed time/frequencyresolution limitations of an FFT analysis.Here we used a Q of 3 and plotted the Scalogram relative to the peak energy in each spectralslice. This provides a detailed view of the energy decay of the transducer as a function offrequency.These data are presented in Figures 17 - 21 on the following pages. The color bar on the rightshows the hues over the 50dB scale of the energy, while the spectrum is on the vertical axis.The horizontal axis is time in milliseconds, from 0 to 11.Figure 17: Perfect WaveletFigure 17. Perfect Wavelet.Figure 17 shows a wavelet that was calculated from a direct electronic loopback through CLIO.The decay is approximately 1/f for each frequency.ALMA Europe Symposium 09 April, 2011Page 22 of 26
Buck, et al.High Performance Beryllium Dome DiaphragmFigure 18: Titanium Ribbed Diaphragm (Diamond Pleat Surround).Figure 18 shows that the titanium ribbed diaphragm shows the worst ringing of the fourdiaphragms, exhibiting long decay at both the upper two octaves and at 1kHz.Figure 19: Titanium Nonribbed Diaphragm.Figure 19 shows that the titanium diaphragm with no ribs is the second worst performer on thewavelet decay test, it suffers from the top octave and 1kHz ring.ALMA Europe Symposium 09 April, 2011Page 23 of 26
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Buck, et al.<strong>High</strong> <strong>Performance</strong> <strong>Beryllium</strong> <strong>Dome</strong> <strong>Diaphragm</strong>CLIO's wavelet analysis tool is implemented using a kernel of modified complex Morlet waveletsand can be interpreted as a constant Q analysis. Time resolution is high at high frequencies andnot too low at low frequencies. Thus, the wavelet analysis overcomes the fixed time/frequencyresolution limitations of an FFT analysis.Here we used a Q of 3 and plotted the Scalogram relative to the peak energy in each spectralslice. This provides a detailed view of the energy decay of the transducer as a function offrequency.These data are presented in Figures 17 - 21 on the following pages. The color bar on the rightshows the hues over the 50dB scale of the energy, while the spectrum is on the vertical axis.The horizontal axis is time in milliseconds, from 0 to 11.Figure 17: Perfect WaveletFigure 17. Perfect Wavelet.Figure 17 shows a wavelet that was calculated from a direct electronic loopback through CLIO.The decay is approximately 1/f for each frequency.ALMA Europe Symposium 09 April, 2011Page 22 of 26
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