This paper reports on results from the algorithmic design and simulation of a two-path poly-phase decimation filter with 24-bit accuracy over the frequency range from dc to approximately 16 kHz. The filter is suited f...
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This paper reports on results from the algorithmic design and simulation of a two-path poly-phase decimation filter with 24-bit accuracy over the frequency range from dc to approximately 16 kHz. The filter is suited for very high precision data conversion applications, and has been designed for use with a fourth-order /spl Sigmaspl Delta/ modulator running at 4096 kHz. This paper also reports on the fixed-point architectural design, comparative bit-level simulations and silicon implementation.< >
In this paper, a unified approach towards the integration of sensor data is presented. Using a modified recursive least squares algorithm, variations in parameter location and measurement noise may be tracked. The int...
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In this paper, a unified approach towards the integration of sensor data is presented. Using a modified recursive least squares algorithm, variations in parameter location and measurement noise may be tracked. The introduction of fuzzy logic, and the subsequent development of operators especially suited for sensor integration, enables sensors of radically different nature to be combined in a consistent manner.< >
Raw spectrograms are subject to systematic errors of an instrumental type that may be reduced provided a mathematical model of the instrumental imperfections is identified. It is assumed in the paper that this model h...
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Raw spectrograms are subject to systematic errors of an instrumental type that may be reduced provided a mathematical model of the instrumental imperfections is identified. It is assumed in the paper that this model has the form of an integral, convolution-type equation of the first kind whose kernel may be causal or not. The correction of the spectrograms consists in numerically solving this equation on the basis of the noisy data. Acquired by a spectrometer. An algorithm of correction is proposed which is based on the approximation of the solution with a spline function whose parameters are determined by means of a recursive Kalman-filter-based algorithm with a non-negativity constraint imposed on the set of feasible solutions. It is shown, using spectrophotometric data, that an improvement in the resolution of the spectrometer can be attained.< >
algorithms devoted to perform digital measurements in advanced instrumentation have sometimes to work with locally periodic signals sampled without an opportune signal synchronization. Errors introduced by this phenom...
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algorithms devoted to perform digital measurements in advanced instrumentation have sometimes to work with locally periodic signals sampled without an opportune signal synchronization. Errors introduced by this phenomenon are usually reduced and made negligible using a suitable signal windowing. When this solution is not available, circular sampling technique represents an efficient way to overcome the problem. The theory of circular sampling is analyzed in the context of the generalized sampling procedure. The relationships obtained guarantee that one and only one sequence satisfy the imposed sampling conditions. A device able to provide the sampling condition according to the above mentioned theory has been studied and designed.< >
The Albus CMAC has been widely used for signalprocessing and adaptive control tasks, although it is only recently that the learning rules have been properly understood and convergence results derived. The CMAC is a m...
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The Albus CMAC has been widely used for signalprocessing and adaptive control tasks, although it is only recently that the learning rules have been properly understood and convergence results derived. The CMAC is a multi-dimensional tabular storage scheme which generates piecewise constant models. However, despite its simplicity the modelling capabilities of this network are very complex and many incorrect theories have recently been proposed. The foundations for a correct theory were recently proposed by the authors (1993), and this paper extends these results by showing that the modelling capabilities of different CMACs (varying the generalisation parameter or the overlay displacement vector) are different. It is also shown that the binary CMAC is able to model any additive mapping exactly, but is unable to reproduce a multiplicative function. This is achieved using the consistency equations and orthogonal functions which define the space of functions that a binary CMAC can and cannot model respectively, and they can also be used to generate a lower bound for the network's modelling error.< >
A highly flexible programmable IIR filter chip has been designed and fabricated to commercial requirements within a collaborative project involving several industrial partners. The device uses 8 highly regular 16 bit ...
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A highly flexible programmable IIR filter chip has been designed and fabricated to commercial requirements within a collaborative project involving several industrial partners. The device uses 8 highly regular 16 bit array multiplier-accumulators which have been pipelined to achieve an overall computational rate of 30 MHz using a 1 micron gate array process. Most significant bit first arithmetic has been employed to achieve the target 15 MHz sample rate whilst implementing an 8th order filter. The paper reviews the principles behind the filter chip and its architecture, and describes a modular system which has been built to facilitate its demonstration and evaluation.< >
The application of nonlinear input-output linearization techniques to the control of induction motors is presented. Practical issues concerning discrete time implementation, rotor flux observation and stator current l...
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The application of nonlinear input-output linearization techniques to the control of induction motors is presented. Practical issues concerning discrete time implementation, rotor flux observation and stator current limitation are presented. The use of a high speed digital signal processor (DSP) is particularly appropriate, facilitating a small sampling period and advanced control algorithms. The authors' control scheme is implemented on an industrial induction motor variable speed drive. Practical results are given showing the feasibility of the approach.< >
An application-specific processor dedicated to Kalman-filter-based measurand reconstruction in spectrometric applications is proposed. It is intended to act as co-processor of a host processor, performing relatively s...
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An application-specific processor dedicated to Kalman-filter-based measurand reconstruction in spectrometric applications is proposed. It is intended to act as co-processor of a host processor, performing relatively sophisticated processing of measurement data subject to systematic errors of an instrumental type and to random errors of various natures. It is basically designed for improving the resolution of spectrometric measurements commonly used in environmental laboratories, but it may be useful in other applications where similar processing of measurement data is required. Examples of applications of the processor in environmental measurements, its metrological advantages and limitations, as well as perspectives of its development, are presented.< >
To improve TV image quality without changing the current transmission standards, advanced soft-decision fuzzy logic techniques have been applied to remove noise affecting pictures and to avoid interlaced-scan-related ...
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To improve TV image quality without changing the current transmission standards, advanced soft-decision fuzzy logic techniques have been applied to remove noise affecting pictures and to avoid interlaced-scan-related artifacts, thus leading to the definition of a new Fuzzy Noise Reducer and Scanning Rate Converter system.
This paper describes development of very small intelligent differential pressure transmitter using semiconductor multiple pressure sensor. The study focuses on the structural design, system and compensation algorithms...
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This paper describes development of very small intelligent differential pressure transmitter using semiconductor multiple pressure sensor. The study focuses on the structural design, system and compensation algorithms to achieve the compact. A very small semiconductor pressure sensor based on piezoresistive gauge placed in the small sensing body converts three quantities to electric signal. The structural and response analysis of the sensing body to achieve the compact has been studied. The microprocessing unit compensates the output of transmitter of refering the three signal to calibration data and does it's self-diagnosis included the damage of sensor and sensing body.< >
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