The Experts below are selected from a list of 225 Experts worldwide ranked by ideXlab platform
R.j. Webster - One of the best experts on this subject based on the ideXlab platform.
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Minimum Detectable Signal for spectrogram displays
IEEE Transactions on Signal Processing, 1993Co-Authors: R.j. WebsterAbstract:Automatic detection criteria are not generally appropriate for displays where decisions are made by a human operator. However, it is shown that the Lawson-Uhlenbeck (1965) deflection criterion continues to be a useful predictor of the Minimum Detectable Signal (MDS) for displays and simplifies the relationship between automatic and display detection performance.
S.r. Rotman - One of the best experts on this subject based on the ideXlab platform.
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Performance measurement in point source target detection
Infrared Physics & Technology, 1996Co-Authors: S.r. RotmanAbstract:Abstract Certain point target detection algorithms applied to digital images can be evaluated through a formalism involving the generation of a threshold picture, i.e., replacing each actual pixel value with a threshold calculated from the background. Methods to evaluate the strengths and weaknesses of each algorithm are presented using the threshold picture. Moreover, the calculation of an electro-optical system sensitivity parameter (Minimum Detectable Signal) is presented, based on the threshold image.
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Performance measurement in point source target detection
Eighteenth Convention of Electrical and Electronics Engineers in Israel, 1995Co-Authors: S.r. RotmanAbstract:Certain point target detection algorithms applied to digital images can be evaluated through a formalism involving the generation of threshold picture, i.e., replacing each actual pixel value with a threshold calculated from the background. Methods to evaluate the strengths and weaknesses of each algorithm are presented using this threshold picture. Moreover, the calculation of an electro-optical system sensitivity parameter (Minimum Detectable Signal) is presented, based on the threshold image.
Philip C. H. Chan - One of the best experts on this subject based on the ideXlab platform.
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Minimum Detectable Signals of integrated magnetic sensors in bulk CMOS and SOI technologies for magnetic read heads
Sensors and Actuators A-physical, 1996Co-Authors: Cuong T. Nguyen, P.k. Ko, Philip C. H. ChanAbstract:Abstract Ease of fabrication and the Signal-to-noise ratio are two important parameters for integrated magnetic sensors. Sensors fabricated in both bulk CMOS and silicon on insulator (SOI) technologies enjoy the benefit of ease of fabrication. In this paper, we study the Signal-to-noise ratios of various CMOS magnetic sensors. We show that the Minimum Detectable Signal (MDS) for a split-drain magnetic sensor is proportional to S a −1 I −3 2 while that for the linear carrier-domain magnetometer (LCDM) and lateral thyristive magnetometer (LTM) in SOI technologies is S a −1 I −1 2 .
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Minimum Detectable Signals Of Integrated Magnetic Sensors In Bulk Cmos And SOI Tech Nologies For Magnetic Read Heads
Proceedings of the International Solid-State Sensors and Actuators Conference - TRANSDUCERS '95, 1995Co-Authors: Cuong T. Nguyen, P.k. Ko, Philip C. H. ChanAbstract:Two of the most important factors in dictating the popularity of integrated magnetic sensors are the ease of fabrication and the Signal to noise ratio of the devices. Sensors fabricated in both bulk CMOS and SO1 technologies enjoy the benefit of ease of fabrications. In this paper, we study the Signal to noise ratios of various CMOS magnetic sensors. We show that the Minimum Detectable Signal (MDS) for split-drain magnetic sensor is proportional to Si'I -3/2 while that for LCDM and LTM in SO1 technologies are S,-'l
Mourad N. El-gamal - One of the best experts on this subject based on the ideXlab platform.
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Optimization of in-plane SiC capacitive accelerometers design parameters
2016 14th IEEE International New Circuits and Systems Conference (NEWCAS), 2016Co-Authors: Ahmad Alfaifi, Ibrahim A. Alhomoudi, Mourad N. El-gamalAbstract:This paper introduces methods to find the design parameters that result in the best sensitivity for a given in-plane differential capacitive accelerometer. We show how to find the optimum electrode length for a device of a specific design area. Design and simulation results for a CMOS-compatible single-axis silicon carbide accelerometer are reported, based on the methods proposed here. The accelerometer uses two supporting beams to increase the device flexibility in the sensing direction, resulting in a 9.14 fF/g sensitivity. It has a total of 2.4% nonlinearity over a range of ±2 g, with a Minimum Detectable Signal of 2.2 mg, when using a 20 aF resolution readout chip.
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NEWCAS - Optimization of in-plane SiC capacitive accelerometers design parameters
2016 14th IEEE International New Circuits and Systems Conference (NEWCAS), 2016Co-Authors: Ahmad Alfaifi, Ibrahim A. Alhomoudi, Mourad N. El-gamalAbstract:This paper introduces methods to find the design parameters that result in the best sensitivity for a given in-plane differential capacitive accelerometer. We show how to find the optimum electrode length for a device of a specific design area. Design and simulation results for a CMOS-compatible single-axis silicon carbide accelerometer are reported, based on the methods proposed here. The accelerometer uses two supporting beams to increase the device flexibility in the sensing direction, resulting in a 9.14 fF/g sensitivity. It has a total of 2.4% nonlinearity over a range of ±2 g, with a Minimum Detectable Signal of 2.2 mg, when using a 20 aF resolution readout chip.
Barry Friedman - One of the best experts on this subject based on the ideXlab platform.
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Real-Time Noninvasive Measurement of Glucose Concentration Using a Modified Hilbert Shaped Microwave Sensor
Sensors, 2019Co-Authors: Levon Odabashyan, Arsen Babajanyan, Zh. Baghdasaryan, Barry FriedmanAbstract:We developed a microwave glucose sensor based on the modified first-order Hilbert curve design and measured glucose concentration in aqueous solutions by using a real-time microwave near-field electromagnetic interaction technique. We observed S21 transmission parameters of the sensor at resonant frequencies depend on the glucose concentration. We could determine the glucose concentration in the 0–250 mg/dL concentration range at an operating frequency of near 6 GHz. The measured Minimum Detectable Signal was 0.0156 dB/(mg/dL) and the measured Minimum Detectable concentration was 1.92 mg/dL. The simulation result for the Minimum Detectable Signal and the Minimum Detectable concentration was 0.0182 dB/(mg/dL) and 1.65 mg/dL, respectively. The temperature instability of the sensor for human glycemia in situ measurement range (27–34 °C for fingers and 36–40 °C for body temperature ranges) can be improved by the integration of the temperature sensor in the microwave stripline platform and the obtained data can be corrected during Signal processing. The microwave Signal–temperature dependence is almost linear with the same slope for a glucose concentration range of 50–150 mg/dL. The temperature correlation coefficient is 0.05 dB/°C and 0.15 dB/°C in 27–34 °C and 36–40 °C temperature range, respectively. The presented system has a cheap, easy fabrication process and has great potential for non-invasive glucose monitoring.
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Glucose Aqueous Solution Sensingby Modified Hilbert Shaped Microwave Sensor
2018Co-Authors: Levon Odabashyan, Arsen Babajanyan, Zh. Baghdasaryan, Barry FriedmanAbstract:We present a microwave sensor based on the modified first order Hilbert curve designed for detecting glucose concentration in aqueous solutions by using a real-time microwave near-field electromagnetic interaction technique. We observed S11 reflection parameters of the sensor at resonant frequencies depend on the glucose concentration. We could determine the glucose concentration in the 0-250 mg/dl concentration range at an operating frequency near 2.6 GHz. The measured Minimum Detectable Signal was 0.018 dB/(mg/dl) and the measured Minimum Detectable concentration was 1.68 mg/dl. The simulation result for the Minimum Detectable Signal and the Minimum Detectable concentration was 0.023 dB/(mg/dl) and 1.3 mg/dl, respectively. Our proposed system has excellent potential to serve as a human bloodless glucometer.