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Analysis in Frequency Domain

Fourier analysis and phase-sensitive detection are conunonly used to convert time-domain signals into the frequency domain. For contextual purposes, the mathematical transformations used by Fourier analysis and phase-sensitive detection instruments are reviewed in the following subsections. Such systems have replaced the Lissajous analysis described in Section 7.3.1. The Lissajous analysis is useful. [Pg.110]

The current density associated witii the capacitive charging of the electrode can be expressed as [Pg.111]

Solution The time required for a single cycle is T = 1/100 Hz = 0.01 s. The potential over this period (rftime is given by [Pg.115]

The Faradaic current density for a linear system can be expressed as [Pg.115]

It is useful to include in the experimental setup an oscilloscope capable of dis- [Pg.116]


Brochon JC, Livesey AK (1990) Data analysis in frequency-domain fluorometry by the maximum entropy method - recovery of fluorescence lifetime distributions. Chem Phys Lett 174 517-522... [Pg.311]

Because the steady state analysis cannot predict how the real disturbances would be handled, a controllability analysis in frequency domain is necessary. The battery of indices was tried, as described by Groenendijk et al. [21]. Here we give only representative results. [Pg.424]

Transform (FFT) analysis or by autoregressive modern techniques. However, the processing of HRV and their analysis in frequency domain are not straight forward. The RR series must be first submitted to preprocessing procedures to produce a series of equidistantly sampled data suitable for spectral analysis. There are various methods to quantily the HRV and it can be derived from either heart period or heart rate. These signal have the same informative content, but the results obtained from each have shown considerable discrepancies, in as much as the relationship between them is non linear [1]. [Pg.415]

The Nichols chart shown in Figure 6.26 is a rectangular plot of open-loop phase on the x-axis against open-loop modulus (dB) on the jr-axis. M and N contours are superimposed so that open-loop and closed-loop frequency response characteristics can be evaluated simultaneously. Like the Bode diagram, the effect of increasing the open-loop gain constant K is to move the open-loop frequency response locus in the y-direction. The Nichols chart is one of the most useful tools in frequency domain analysis. [Pg.175]

Recently, a method used for the analysis of frequency-domain data has been proposed for the analysis of time-domain images. The AB-plot or phasor plot provides a useful graphical representation of lifetime data that can be used for the segmentation of the images prior to data fitting [47, 48], With this method, data fitting may be avoided in many instances. [Pg.138]

The dipole response in real time gives access to the response in frequency domain by Fourier transfrom D (a)), from which one can extract the strength function S(n>) = cA b yf and the power spectrum P( ) = I)(a/) 2. The strength function is the more suited quantity in the linear regime, where it can be related to the photoabsorption cross section [31], while the power spectrum better applies for spectral analysis in the non linear regime [24],... [Pg.94]

Figure 10. FFT analysis of the sum of sine wave perturbation left side, no optimization right side, optimization of amplitudes, (a) Perturbation voltage in the time domain, (b) Perturbation voltage in the frequency domain, (c) Current response with 10% noise added, presented in frequency domain, (d) Complex plane plots of simulated impedance spectra with 10% noise added to the current response. Solid lines show response without noise. Figure 10. FFT analysis of the sum of sine wave perturbation left side, no optimization right side, optimization of amplitudes, (a) Perturbation voltage in the time domain, (b) Perturbation voltage in the frequency domain, (c) Current response with 10% noise added, presented in frequency domain, (d) Complex plane plots of simulated impedance spectra with 10% noise added to the current response. Solid lines show response without noise.
Phase shift fluorimetry, the other important method for measuring fluorescent lifetimes, also continues to be developed and improved. The effects of Inaccurate reference lifetimes on the interpretation of frequency domain fluorescence data can be removed or minimized by a least squares analysis method.The direct collection of multi-frequency data for obtaining fluorescence lifetimes can be achieved by the use of digital parallel acquisition in frequency domain fluorimetry. Frequency domain lifetime measurement has been used for on-line fluorescence lifetime detection of eluents in chromatography. An unusual use of frequency domain measurement which has been reported is for the examination of photon migration in living tissue. Photons in the... [Pg.7]

The hyperfine couplings can be obtained by direct analysis of the modulations on the echo decay curve. The analysis must then generally be made by fitting a simulated curve to the experimental. This procedure was usually employed in early work. Analysis of frequency domain spectta obtained by Fourier tfansformation (FT) is more common in recent studies. The resulting FT or frequency domain spectrum has lines with the same frequencies as in ENDOR. Like in ENDOR visual analyses of FT spectra are often followed by simulation to obtain accurate values for the anisotropic hyperfine coupling. [Pg.130]

The acoustic waveform itself is rarely studied directly. This is because phase differences, which significantly affect the shape of the waveform, are in fact not relevant for speech perception. We will deal with phase properly in Chapter 10, but for now let us take for granted that unless we normahse tiie speech with respect to phase we will find it very difficult to discern tiie necessary patterns. Luckily we have a well-established technique for removing phase, known as spectral analysis or frequency-domain analysis. We can use analysis software to transform tiie signal to the frequency domain and when this is done, it is a simple matter to remove tiie phase. Figure 7.6 shows what is known as a log magnitude spectrum of a short section (about 20 ms) of speech. [Pg.156]

Ultrasonic correlation analysis in frequency (Fourier transformation of frequency) domain analysis was utilized to measure a thickness of the sample and to image the structure of the material. This technique comprises four processes (1) calculation of the spectrum, (2) division by the power spectrum of a pulse or other component, (3) Fourier transformation into the frequency domain, and (4) analysis and imaging in the frequency domain. Here we obtain much higher resolution in the imaging and thickness measurements by applying the echo analysis developed in earthquake theory [12] and the thickness measurements methods for a thin layer [13,14]. [Pg.156]

Furthermore, it should be noted that the resulting spectral density function will be a complex function. Since, in frequency-domain analysis, it is the strength of the individual frequencies that are of interest, it is common to convert the imaginary... [Pg.259]

Periodogram and Its Use in Frequency-Domain Analysis of Time Series... [Pg.262]

Time-domain instraments digitize the signal at high sampling rates and permit a Fourier analysis into frequency domain in order to study complex resistivity. In frequency domain, the frequency effect parameter is used ... [Pg.360]

The results of both experiments showed that the analysis in the frequency domain provides new technological possibilities of testing characteristics of austenitic steels. Using known phase-frequency characteristics of structural noises it is possible to construct algorithms for separation of useful signal from the defect, even through amplitude values of noise and signal are close in value. [Pg.733]

Fast Fourier Transformation is widely used in many fields of science, among them chemoractrics. The Fast Fourier Transformation (FFT) algorithm transforms the data from the "wavelength" domain into the "frequency" domain. The method is almost compulsorily used in spectral analysis, e, g., when near-infrared spectroscopy data arc employed as independent variables. Next, the spectral model is built between the responses and the Fourier coefficients of the transformation, which substitute the original Y-matrix. [Pg.216]

In the analysis of vibration data there is often the need to transform the data from the time domain to the frequency domain or, in other words, to obtain a spectrum analysis of the vibration. The original and inexpensive system to obtain this analysis is the tuneable swept-filter analyzer. Because of inherent limitations of this system, this process, despite the use of automated sweep, is time-consuming when analyzing low frequencies. When the spectra data needs to be digitized for computer inputing, there are further limitations in capability of tuneable filter-analysis systems. [Pg.670]

An important difference between analysis of stability in the. v-plane and stability in the frequency domain is that, in the former, system models in the form of transfer functions need to be known. In the latter, however, either models or a set of input-output measured open-loop frequency response data from an unknown system may be employed. [Pg.164]

The process of vibration analysis requires gathering complex machine data and deciphering it. As opposed to the simple theoretical vibration curves shown in Figures 43.1 and 43.2, the profile for a piece of equipment is extremely complex. This is tme because there are usually many sources of vibration. Each source generates its own curve, but these are essentially added together and displayed as a composite profile. These profiles can be displayed in two formats time-domain and frequency-domain. [Pg.665]

In addition, it should be noted that frequency-domain analysis can be used to determine the phase relationships for harmonic vibration components in a typical machine-train spectrum. Frequency-domain normalizes any or all running speeds, where time-domain analysis is limited to true running speed. [Pg.686]

Comparative analysis directly compares two or more data sets in order to detect changes in the operating condition of mechanical or process systems. This type of analysis is limited to the direct comparison of the time-domain or frequency-domain signature generated by a machine. The method does not determine the actual dynamics of the system. Typically, the following data are used for this purpose (1) baseline data, (2) known machine condition, or (3) industrial reference data. [Pg.692]

Confirmation analysis In most cases, the occurrence of dynamic resonance can be quickly confirmed. When monitoring phase and amplitude, resonance is indicated by a 180° phase shift as the rotor passes through the resonant zone. Figure 44.44 illustrates a dynamic resonance at 500 rpm, which shows a dramatic amplitude increase in the frequency-domain display. This is confirmed by the 180° phase shift in the time-domain plot. Note that the peak at 1200 rpm is not resonance. The absence of a phase shift, coupled with the apparent modulations in the FFT, discount the possibility that this peak is resonance-related. [Pg.742]

Repeated twisting of the spindle s tube or the solid shaft used in jackshafts results in a reduction in the flexible drive s stiffness. When this occurs, the drive loses some of its ability to absorb torsional transients. As a result, damage may result to the driven unit. Unfortunately, the limits of single-channel, frequency-domain data acquisition prevents accurate measurement of this failure mode. Most of the abnormal vibration that results from fatigue occurs in the relatively brief time interval associated with startup, when radical speed changes occur, or during shutdown of the machine-train. As a result, this type of data acquisition and analysis cannot adequately capture these... [Pg.751]

Therefore intensity-modulated photocurrent Spectroscopy has been developed by Peter and co-workers as a tool for the analysis of photocurrent responses in the frequency domain.42,43 An optoacoustic coupler is... [Pg.508]

T. Analysis of the signal has primarily been performed in the time-domain although some applications are beginning to appear using frequency-domain techniques. The main features of the time-domain signal that are used for analysis are ... [Pg.480]


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Frequency domain

Frequency domain analysis

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