This paper presents a contactless reprogrammable position measurement system designed using the HDL(hardware description language) and realized in hardware using the field programmable array (FPGA). The proposed syste...
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ISBN:
(纸本)9781467348669;9781467348652
This paper presents a contactless reprogrammable position measurement system designed using the HDL(hardware description language) and realized in hardware using the field programmable array (FPGA). The proposed system is able to measure the contactless position at various locations with each of them to its accuracy. It is used to measure pressure and motioning purposes using magnetic principles. In addition, the proposed system incorporates feature that measure position at contactless in real time. This system effectively detects the linear displacement in terms or resistive variations using Force pressure sensors (FSR). The proposed system uses a reprogrammable controller (FPGA), as it is possible to customize the design to various industry applications.
A fully digital sensor-actuator has been developed for photoplethysmographic (PPG) measurements. Instead of classical sensor it uses standard light emitting diodes (LEDs) for both light emitting and detecting. Time-du...
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ISBN:
(纸本)9781424441334
A fully digital sensor-actuator has been developed for photoplethysmographic (PPG) measurements. Instead of classical sensor it uses standard light emitting diodes (LEDs) for both light emitting and detecting. Time-duration based conversion protocol is implemented by a field programmable gate array (FPGA) avoiding the need for analog amplifiers and precision analogue to digital converters (ADCs). The basic sensing configuration, presented here, consists of a pair of LEDs directly connected to two FPGA's I/O pins and is capable of detecting the PPG signal from a finger or a toe. The better spectral sensitivity, increased and adjustable resolution, reduced noise, lower cost and dimensions are confirmed advantages. In this paper we introduce a sensing principle in conjunction with pulse-based measurement technique, signal filtering and data communication implemented in a single FPGA chip. The approach in general, as well as the prototype in particular, where evaluated through both qualitative and quantitative experiments.
In this paper, the road information collection systems andprocessing algorithms of video signal was researched based on vision sensor, the processor of Smart car used MC9S12XS128, the hardware of Sampling system usin...
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ISBN:
(纸本)9781424451944
In this paper, the road information collection systems andprocessing algorithms of video signal was researched based on vision sensor, the processor of Smart car used MC9S12XS128, the hardware of Sampling system using OV7620 digital camera;The key of software part is the turn of double-array storage andprocessing technology, which made the Acquisition system has higher efficiency, more in line with the requirements of real-time. Experiments have proved that the algorithm has good real-time performance, reliability and robustness.
This paper is devoted to the analysis of a "semi-blind" estimation framework in which the standard input-output (training sequence based) estimation is enhanced by using the statistical structure of the info...
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For mobile robot navigation purposes, we use an object position measurement system. The measurement system is composed of two parts, a signal acquislion part and the signal procssing pari. The first part consists of t...
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For realizing the behavior rules of the microorganisms producing gases and detecting the gas sources for applying bioenergy, a method for the orientation recognition of the gas source and its algorithm is presented in...
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For Rayleigh fading channels, there exists an interesting similarity between resistive circuits and time and path diversity mechanisms in multihop wireless sensor networks. A resistor-like circuit element, the erristo...
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ISBN:
(纸本)3540021116
For Rayleigh fading channels, there exists an interesting similarity between resistive circuits and time and path diversity mechanisms in multihop wireless sensor networks. A resistor-like circuit element, the erristor, representing the normalized noise-to-signal ratio, is introduced. Given an end-to-end packet delivery probability (as a QoS requirement), the nonlinear mapping from link reception probabilities to erristor values greatly simplifies the problems of power allocation and the selection of time and path diversity schemes. Thanks to its simplicity, the formalism that is developed also provides valuable insight into the benefits of diversity mechanisms, which is illustrated by a number of examples.
We propose to use the Approximate Maximum-Likelihood (AML) method to estimate the direction-of-arrival (DOA) of multiple targets from various spatially distributed sub-arrays, with each sub-array having multiple acous...
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ISBN:
(纸本)3540021116
We propose to use the Approximate Maximum-Likelihood (AML) method to estimate the direction-of-arrival (DOA) of multiple targets from various spatially distributed sub-arrays, with each sub-array having multiple acoustical/seismic sensors. Localization of the targets can with possibly some ambiguity be obtained from the cross bearings of the sub-arrays. Spectra from the AML-DOA estimation of the target can be used for classification as well as possibly to resolve the ambiguity in the localization process. We use the Support Vector Machine (SVM) supervised learning method to perform the target classification based on the estimated target spectra. The SVM method extends in a robust manner to the nonseparable data case. In the learning phase, classifier hyperplanes are generated off-line via a primal-dual interior point method using the training data of each target spectra obtained from a single acoustical/seismic sensor. In the application phase, the classification process can be performed in real-time involving only a simple inner product of the classifier hyperplane with the AML-DOA estimated target spectra vector. Analysis based on Cramer-Rao bound (CRB) and simulated and measured data is used to illustrate the effectiveness of AML and SVM algorithms for wideband acoustical/seismic target DOA, localization, and classification.
Multiple-input multiple-output (MIMO) sparse electromagnetic vector sensor (EMVS) arrays offer enhanced flexibility and resolution in signalprocessing. This study presents an improved PARAFAC-based algorithm for angl...
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Two-dimensional (2-D) and more generally multi-dimensional harmonic retrieval is of interest in a variety of applications. The associated identifiability problem is key in understanding the fundamental limitations of ...
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ISBN:
(纸本)0780370414
Two-dimensional (2-D) and more generally multi-dimensional harmonic retrieval is of interest in a variety of applications. The associated identifiability problem is key in understanding the fundamental limitations of parametric high-resolution methods. In the 2-D case, existing identifiability results indicate that, assuming sampling at Nyquist or above, the number of resolvable exponentials is proportional to I + J, where I is the number of (equispaced) samples along one dimension, and J likewise for the other dimension. We prove in this paper that the number of resolvable exponentials is roughly IJ/4, almost surely. This is not far from the equations-versus-unknowns bound of IJ/3. We then generalize the result to the N-D case for any N > 2, showing that, under quite general conditions, the number of resolvable exponentials is proportional to total sample size, hence grows exponentially with the number of dimensions.
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