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Signal response

The technique presented above has been extensively evaluated experimentally using ultrasonic data acquired from a test block made of cast stainless steel with cotirse material structure. Here we briefly present selected results obtained using two pressure wave transducers, with refraction angles of 45° and 0°. The -lOdB frequency ranges of the transducers were 1.4-2.8 MHz and 0.7-1.4 MHz, respectively. The ultrasonic response signals were sampled at a rate of 40 MHz, with a resolution of 8 bits, prior to computer processing. [Pg.92]

The 45° transducer was used to inspect side drilled holes, with their centres located 40 mm below the surface. Due to the coarse material structure the echoes from the holes were totally masked by clutter. An example of an ultrasonic response signal, emanating from a hole with a diameter of 8 mm, is shown in the left part of Figure 3. Scanning the surface above the 8 mm and 10 mm holes resulted in the B-scan image shown in the upper part of Figure 4. [Pg.92]

Using Equ. (3.1), we can now compute the optimum frequency for cracks in various depths (see Fig. 3.2). For comparison, the optimum excitation frequency for a planar wave or a sheet inducer (300 x 160 mm) is also displayed. One finds that for a planar excitation source, a much lower excitation frequency is required, which causes a reducfion in the response signal of the crack of up to an order of magnitude in case of a small circular coil. [Pg.258]

Cq ), where is the blended impurity concentration of impurity a Cq, the background impurity level and the multiplication constant. Possible sources of background response include instmment noise, sample system outgassing, or interference from other impurity response signals. Proper setup, purging, and operation of the instmment should reduce background levels weU below ippb. [Pg.90]

Multienzyme electrodes can increase sensitivity from micromolar to nanomolar detection levels (53,57). In this case the substrate is converted to a detectable product by one enzyme, then that product is recycled into the initial substrate by another enzyme resulting in an amplification of the response signal. For example, using lactate oxidase and lactate dehydrogenase immobilized in poly(vinyl chloride), an amplification of 250 was obtained for the detection oflactate (61). [Pg.103]

Any variable or parameter that influences kinetics can be used if well-defined perturbation can be achieved. Temperature was the early favorite in kinetic studies, but in catalysis the heat capacity of the catalyst makes the response for temperature changes very sluggish. A sudden change in one or more of the product or reactant concentrations can be executed faster and usually gives a better response signal. [Pg.151]

Abstract The response signal of an immense number of fluorescence reporters with a broad variety of structures and properties can be realized through the observation in changes of a very limited number of fluorescence parameters. They are the variations in intensity, anisotropy (or polarization), lifetime, and the spectral changes that allow wavelength-ratiometric detection. Here, these detection methods are overviewed, and specific demands addressed to fluorescence emitters for optimization of their response are discussed. [Pg.4]

In addition to conventional measured parameters (peak height or area under the CL response signal), one can use typically kinetic parameters such as CL formation and decay rates, both of which are directly related to the analyte concentration. These parameters can be easily determined from the straight segments of the rising and falling portions of the response curve, using a computer to acquire and process data. These alternative kinetic parameters result in improved selectivity and precision in CL analyses, as shown in Sec. 3.2. [Pg.179]

Removing Physiological Noise. One method of removing the low frequency artifact is to convolve the response signal with a model of stimulus signal. Such methods have been used to increase the SNR in fMRI [54], The stimulus signal is usually modeled as a pulse train with evenly spaced interstimulus interval as in Equation (11)... [Pg.352]

Equation 16.19 is essential for relating the shape of the response signal (figure 16.7) to the waveform in figure 16.3. Yet it is not enough. We also need to consider how the current is produced, and this is determined by the kinetics of the electrode reactions [332],... [Pg.235]

DATA COLLECTION The computer synchronously samples, digitizes, and adds in memory arrays of Np locations of the reference and of the response signals to complete one scan. [Pg.286]

NUMBER OF SCANS Each data point of both the reference and the response signals is memory averaged over several scans to complete a run. [Pg.287]


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See also in sourсe #XX -- [ Pg.405 ]




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Signaling response

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