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Time-variant

Signal processing pertains to a wide collection of tools used to refine the information contained in a raw analytical signal and to estimate pertinent signal parameters such as peak shape, area, and amphtude. Signal processing apphcations typically involve either energy-variant or time-variant spectra. [Pg.429]

In Sections 41.2 and 41.3 we applied a recursive procedure to estimate the model parameters of time-invariant systems. After each new measurement, the model parameters were updated. The updating procedure for time-variant systems consists of two steps. In the first step the system state j - 1) at time /), is extrapolated to the state x(y) at time by applying the system equation (eq. (41.15)) in Table 41.10). At time tj a new measurement is carried out and the result is used to... [Pg.594]

However, with a time variant flow of liquid into the tank, then analytical solution is not so simple. The above problem is treated in more detail by the simulation example TANKDIS. [Pg.31]

Figure 5.135. Time-variant turbulent fluctuations of concentration about a mean value C, showing the fluctuation value C, ... Figure 5.135. Time-variant turbulent fluctuations of concentration about a mean value C, showing the fluctuation value C, ...
For controlled-potential coulometry the voltage drop over a standard resistor is measured as a function of time by means of a voltage-to-frequency converter the output signal consists of a time-variant and integrally increasing number of counts (e.g., 10 counts mV-1), which by means of an operational amplifier-capacitor yields the current-time curve and integral158. [Pg.234]

Analysis of CSTR Cascades under Nonsteady-State Conditions. In Section 8.3.1.4 the equations relevant to the analysis of the transient behavior of an individual CSTR were developed and discussed. It is relatively simple to extend the most general of these relations to the case of multiple CSTR s in series. For example, equations 8.3.15 to 8.3.21 may all be applied to any individual reactor in the cascade of stirred tank reactors, and these relations may be used to analyze the cascade in stepwise fashion. The difference in the analysis for the cascade, however, arises from the fact that more of the terms in the basic relations are likely to be time variant when applied to reactors beyond the first. For example, even though the feed to the first reactor may be time invariant during a period of nonsteady-state behavior in the cascade, the feed to the second reactor will vary with time as the first reactor strives to reach its steady-state condition. Similar considerations apply further downstream. However, since there is no effect of variations downstream on the performance of upstream CSTR s, one may start at the reactor where the disturbance is introduced and work downstream from that point. In our generalized notation, equation 8.3.20 becomes... [Pg.295]

Congestion + Effective problem ++Access or speed ++ Time-variant 0 + Telematics,... [Pg.582]

Internal standardization circumvents the effects of time-variant instrument response, but does not compensate for different ionization efficiencies of analyte and standard. For internal standardization, a compound exhibiting close similarity in terms of ionization efficiency and retention time is added to the sample at a known level of concentration, e.g., an isomer eluting closely to the analyte or a homologue may serve for that purpose. It is important to add the standard before any clean-up procedure in order not to alter the concentration of the analyte without affecting that of the standard. For reliable results, the relative concentration of analyte and standard should not differ by more than a factor of about ten. [Pg.480]

Figure 1. Five representations of the same chemical information. The canonical chemical reaction graph (a) can be represented in linear notation (b, see Appendix) or as a bond-centered labeled graph (c) by using time-variant bonds. The labeled graph affords an adjacency table (d) and a LISP list representation (e). Figure 1. Five representations of the same chemical information. The canonical chemical reaction graph (a) can be represented in linear notation (b, see Appendix) or as a bond-centered labeled graph (c) by using time-variant bonds. The labeled graph affords an adjacency table (d) and a LISP list representation (e).
By changing the a, values, any time-variant external analog signal can be filtrated by an arbitrary threshold value. [Pg.18]

This time-variant signal (usually referred to as an AC signal) is found in a multitude of electronic circuits. Power delivered to homes and businesses is nearly universally transmitted using an AC signal. Communications circuits require exact sine waves in order to transmit information over large distances with low loss of signal integrity. Just as numerous as the amount of potential uses for oscillator circuits is the amount of circuits that can create these oscillators. In this chapter we will examine several oscillator circuits in detail. [Pg.215]

The process in question involved the reaction of two materials, A and B, to produce a product C. The reaction was noncatalytic, homogeneous, and in the gas phase. It took place in a tubular reactor which could not be considered either adiabatic or isothermal. The reactor was divided into four sections, the first three of which were cooled while the fourth was adiabatic. Coking of the reactor tube introduced a time variant in the system, requiring adjustment of operating conditions and eventual shutdown for cleaning. [Pg.350]

More complex integrated PK/PD models are necessary to link and account for a possible temporal dissociation between the plasma concentration and the observed effect. Four basic attributes may be used to characterize PK/PD models First, the link between measured concentration and the pharmacological response mechanism that mediates the observed effect (direct versus indirect link) second, the response mechanism that mediates the observed effect (direct versus indirect response) third, the information used to establish the link between measured concentration and observed effect (hard versus soft link) and, fourth, the time dependency of the involved PD parameters (time variant versus time invariant) (Danhof et al., 1993 Steimer et al., 1993 Aarons, 1999 Lees et al., 2004). The expanded and early use of PK/PD modeling in drug discovery and development is highly beneficial for increasing the success rate of drug discovery and development and will most likely improve the current state of applied therapeutics. [Pg.101]

Griesinger, 1991] Griesinger, D. (1991). Improving Room Acoustics Through Time-Variant Synthetic Reverberation". In Proc. Audio Eng. Soc. Corn. Preprint 3014. [Pg.261]

For systems that are nearly linear or time-variant, the concept of the impulse (complex frequency) response is still applicable. For weakly non-linear systems the characterization can be extended by including measurements of the non-linearity (noise, distortion, clipping point). For time-variant systems the characterization can be extended by including measurements of the time dependency of the impulse response. Some of the additional measurements incorporate knowledge of the human auditory system which lead to system characterizations that have a direct link to the perceived audio quality (e.g. the perceptually weighted signal to noise ratio). [Pg.302]

A disadvantage of the system characterization approach is that although the characterization is valid for a wide variety of input signals it can only be measured on the basis of knowledge of the system, This leads to system characterizations that are dependent on the type of system that is tested. A serious drawback in the system characterization approach is that it is extremely difficult to characterize systems that show a non-linear and time-variant behavior. [Pg.302]

The big advantage of the perceptual approach is that it is system independent and can be applied to any system, including systems that show a non-linear and time-variant behavior. A disadvantage is that for the characterization of the audio quality of a system one needs a large set of relevant test signals (speech and music signals). [Pg.303]

The preceding sections are concerned with the time-averaged flow behavior in a macroscale. The time-variant flow behavior is complex. Analyses of the instantaneous flow... [Pg.443]

Bauer, J., Balthasar, J., and Fung, H., Application of pharmacodynamic modeling for designing time-variant dosing regimens to overcome nitroglycerin tolerance in experimental heart failure, Pharmaceutical Research, Vol. 14, No. 9, 1997, pp. 1140-1145. [Pg.427]


See other pages where Time-variant is mentioned: [Pg.429]    [Pg.12]    [Pg.232]    [Pg.226]    [Pg.330]    [Pg.330]    [Pg.22]    [Pg.596]    [Pg.296]    [Pg.282]    [Pg.279]    [Pg.147]    [Pg.202]    [Pg.76]    [Pg.215]    [Pg.54]    [Pg.1094]    [Pg.513]    [Pg.330]    [Pg.336]    [Pg.107]    [Pg.151]    [Pg.311]    [Pg.349]    [Pg.282]    [Pg.306]    [Pg.306]    [Pg.503]   
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