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Filtering of signals

CeTi-doped silicate glasses demonstrate the controllable optical features with coloring in the yellow-orange range that is of interest for selective filters of signal lamps. The structural and optical studies argue on the nature of color centers formed on the basis of Ce-Ti-binary oxide nanophases stabilized within the glass matrix. [Pg.348]

Figure 9.5 illustrates six additional functions of time and their associated frequency spectra. These functions are characteristic of stimulus-and-response functions associated with biological systems. Further applications of the Fourier transform will be presented in Section 9.3 with regard to filtering of signals to remove noise components. [Pg.207]

By choosing the proper correlation algorithm, it is possible to realise sensitive filters for other types of defects (e.g. corrosion). Fig. 5.2 shows an example for the suppression of signals which do not exhibit the expected defect stmcture (Two parallel white lines near upper central rim portion of Fig. 5.2). The largest improvement in SNR is obtained here by using the expression (ai ai+x /ai+yj), since for a gradiometric excitation, one expects the crack response to show two maxima (a, aj+x) with a minimum (a m) in the centre (see Fig. 5.3). [Pg.262]

In addition to the distortions caused by the probes, there were also distortions caused by filtering the signals within the eddy-current test instruments. To achieve the highest possible dynamics with the test instruments, high-pass filters with a high rate of rise, but also a long reverberation time were used. Thus, the recorded C-scan pictures sometimes shows strong echo effects. [Pg.309]

P. Simard M. Piriou B. Benoist, A. Masia. Wavelet transformation Filtering of eddy current signals. In l th International Conference on NDe in the nuclear and Pressure Vessel Industries, pages 313-317, 1997. [Pg.333]

A leading edge spike filter of 1K and 470pF will also be added before inputting the eurrent signal to pin 4. [Pg.229]

Figure 3.11. Smoothing a noisy signal. The synthetic, noise-free signal is given at the top. After the addition of noise by means of the Monte Carlo technique, the panels in the second row are obtained (little noise, left, five times as much noise, right). A seven-point Savitzky-Golay filter of order 2 (third row) and a seven-point moving average (bottom row) filter are... Figure 3.11. Smoothing a noisy signal. The synthetic, noise-free signal is given at the top. After the addition of noise by means of the Monte Carlo technique, the panels in the second row are obtained (little noise, left, five times as much noise, right). A seven-point Savitzky-Golay filter of order 2 (third row) and a seven-point moving average (bottom row) filter are...
The procedure described above is a pictorial approximation of a process called scale-space filtering of a function, proposed by Witkin (1983). The surface (e.g., Fig. 6) swept out by a filtered signal as the Gaussian filter s standard deviation is varied, is called scale-space image of the signal and is given by... [Pg.223]

Flit) is called the scaled signal and is derived from the filtering of FqU) with the lowpass scaling function. It represents a smoother version of FqU). Diit) is called the detail signal and is derived from the filtering of FqU) with the bandpass wavelet functions. It represents the information that was filtered out of FqU) in producing Fiit). [Pg.236]

For those purposes, the authors used constant-time version of the sensitivity-enhanced HMBC sequence,79 combined with a two-step low-pass J filter. Constant-time experiments have no coupling structures in the carbon dimension making it easy to identify the centre of signals in... [Pg.337]

We see that the multiplier output signal is made up of a term at the sum frequency and another at the difference frequency. The signal of eq. (10.5) passes through a low-pass filter of response HL(ja>) and high-frequency cut-off well below the reference frequency, in order to eliminate the sum frequency term. The output will be ... [Pg.249]

Signals for methyl paraben were monitored with UV detection at 254 nm. The signal for rhodamine 110 chloride was monitored via fluorescence detection with an excitation filter of 482 nm (35 nm bandwidth) and emission filter of 535 nm (40 nm bandwidth). A gradient method (same as the one in Figure 6.16) was used. The compositions of mobile phases A and B were 5 95 H20 CH3CN with 0.1 HCOOH and CH3CN with 0.085% HCOOH, respectively, with a total flow rate of 300 fiL/ min (corresponding to 12.5 /rL/min for each column). [Pg.173]


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Signal filtering

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