Cascaded quadratic detectors are applied to manufacturing sensor signals. These detectors provide a technique which allows excellent frequency selectivity and noise suppression, without sacrificing temporal resolution...
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Non-selective and nonlinear response characteristics of chemical sensors is an important limitation to analyzing multicomponent chemical *** of the past research was focused on finding a close form to describe nonline...
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Non-selective and nonlinear response characteristics of chemical sensors is an important limitation to analyzing multicomponent chemical *** of the past research was focused on finding a close form to describe nonlinear sensor array systems,which required many unrealistic assumptions such as linear ***,we have used neural networks for nonlinear sensing process modeling without underlying *** demonstrated on two and three component organic vapor mixture analyses with eight non-selective and nonlinear gas sensors,the multilayer perceptrons performed more accurate predictions of the individual vapor concentrations in comparison with the commonly used linear techniques and nonlinear techniques.
The through-line (TL) method is introduced to replace the through-reflect-line (TRL) deembedding procedure. TL utilizes measurements of two lengths of line following approximate open-short-line calibration. TL account...
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The through-line (TL) method is introduced to replace the through-reflect-line (TRL) deembedding procedure. TL utilizes measurements of two lengths of line following approximate open-short-line calibration. TL accounts for the frequency-dependent characteristic impedance of the line and avoids the periodic glitches inherent in the TRL procedure.< >
The authors present the building blocks and design procedure necessary for creating a component-invariant second-order switched current (SI) sigma-delta modulator ( Sigma Delta M). A novel SI second-order integrator b...
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The authors present the building blocks and design procedure necessary for creating a component-invariant second-order switched current (SI) sigma-delta modulator ( Sigma Delta M). A novel SI second-order integrator block is paramount to the design. A voiceband (4-kHz) analog-to-digital (A/D) converter was designed and laid out in Northern Telecom's 1.2- mu m CMOS process. Final transistor level simulations on the netlist derived directly from the layout indicated a resolution of only 10 b, a result of excessive charge injection and clock feedthrough. The power and area requirements of the SI design are estimated to be 0.2 mW and 0.2 mm/sup 2/, respectively.< >
The authors report the development of flange bearing harmonic side-drive (referred to as wobble) micromotors and the results from a comparative study of the operation of flange and center-pin bearing micromotors in di...
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The authors report the development of flange bearing harmonic side-drive (referred to as wobble) micromotors and the results from a comparative study of the operation of flange and center-pin bearing micromotors in different gas environments. Both the flange and center-pin wobble micromotors have been operated with excitation as low as 30 V across 1.5 mu m rotor/stator gaps. In contrast to the center-pin bearing wobble micromotors it was found that the performance of the flange bearing wobble micromotors is not significantly affected by the operational environment. A convenient experimental procedure to characterize friction in wobble micromotors has been developed. Additionally, the requisite wobble micromotor dynamic model for extracting the bearing and bushing/flange frictional parameters from the experimental data is discussed.< >
Three-dimensional microwave resonators of arbitrary shape can be analyzed with the finite element method using covariant-projection elements, curvilinear bricks which impose only tangential field continuity. The metho...
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Three-dimensional microwave resonators of arbitrary shape can be analyzed with the finite element method using covariant-projection elements, curvilinear bricks which impose only tangential field continuity. The method produces no spurious modes, and works well even when sharp metal edges are present. The matrices involved, though large, are sparse;an appropriate sparse eigenvalue algorithm allows the method to run in modest amounts of memory. Results are presented for a number of test cases, including a rectangular microstrip resonator.
A test chip to measure electrostatic discharge (ESD) events was designed and fabricated. The structure for the measurement of the pulses was based on a floating-gate field-effect transistor. Experiments showed that th...
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A test chip to measure electrostatic discharge (ESD) events was designed and fabricated. The structure for the measurement of the pulses was based on a floating-gate field-effect transistor. Experiments showed that the shift of the device characteristics following an ESD event can be used to measure ESD pulse magnitudes down to approximately 60 V.
The problem of defining an appropriate measure of the degree of nonstationarity for stochastic processes that exhibit cyclostationarity is addressed. After discussing several candidate measures of degree of nonstation...
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The problem of defining an appropriate measure of the degree of nonstationarity for stochastic processes that exhibit cyclostationarity is addressed. After discussing several candidate measures of degree of nonstationarity, one particularly promising measure is adopted. By decomposing this measure, several component measures are arrived at. Bounds on these measures are derived and their utility in applications involving signal detection and estimation is established. Examples are presented to illustrate the calculation of degrees of nonstationarity for several types of cyclostationary signals.
Uses a parametric statistical framework to understand the effect of input representation on performance for nonlinear prediction of time series. In particular, considerations of input representation lead directly to c...
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Uses a parametric statistical framework to understand the effect of input representation on performance for nonlinear prediction of time series. In particular, considerations of input representation lead directly to choices between feedforward and recurrent neural networks. It is shown that feedforward networks are nonlinear autoregressive models and that recurrent networks can model a larger class of processes, including nonlinear autoregressive moving average models. For some processes, feedback allows recurrent networks to achieve better predictions than can be made with a feedforward network with a finite number of inputs. The results are confirmed on a problem in power system regional load forecasting.< >
The design of preprocessors, or front-ends, for a speech recognition system is considered to be critical to the overall performance of the system. A design methodology, which is inspired by and, in some ways, formulat...
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The design of preprocessors, or front-ends, for a speech recognition system is considered to be critical to the overall performance of the system. A design methodology, which is inspired by and, in some ways, formulated from the theory of time-frequency analysis, is presented. Examples of specific desirable properties for preprocessors are presented, and preliminary results supporting the need for a frequency transform are summarized. The authors propose eight properties for speech preprocessors. The last property, that of frequency analysis, was experimentally confirmed for single short segments of speaker-independent vowels. It is concluded that frequency transforms are needed for the simple case of speaker-independent vowel recognition.< >
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