Topic
Noise measurement
About: Noise measurement is a research topic. Over the lifetime, 19776 publications have been published within this topic receiving 308180 citations.
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TL;DR: In this article, the authors proposed a new method to dynamically determine coherent generators and electrical areas of an interconnected power system based on dynamic frequency deviations of both generator and non-generator buses, with respect to system nominal frequency.
Abstract: This paper presents a new method to dynamically determine coherent generators and electrical areas of an interconnected power system. The proposed method is based on dynamic frequency deviations of both generator and non-generator buses, with respect to the system nominal frequency. The proposed method 1) largely overcomes the limitations of the existing model-based and measurement-based coherency identification methods, 2) enables dynamic tracking of the coherency time-evolution, and 3) provides noise immunity which is imperative in practical implementation. The method also promises the potential for real-time coherency calculation. The proposed method is applied to the 16-machine/68-bus NPCC system based on time-domain simulation studies in the PSS/E platform and the results are compared with those of the classical slow-coherency (model-based) method and a measurement-based method.
76 citations
TL;DR: This work extends existing adaptive algorithms with equivariant properties in order to considerably reduce the bias in the demixing matrix caused by measurement noise and describes a novel recurrent dynamic neural network for simultaneous estimation of the unknown mixing matrix, blind source separation, and reduction of noise in the extracted output signals.
76 citations
13 May 2002
TL;DR: A microphone array post-filtering approach, applicable to adaptive beamformer, that differentiates non-stationary noise components from speech components is introduced, based on a Gaussian statistical model and combined with an appropriate spectral enhancement technique.
Abstract: Microphone array post-filtering allows additional reduction of noise components at a beamformer output. Existing techniques are either restricted to classical delay-and-sum beamformers, or are based on single-channel speech enhancement algorithms that are inefficient at attenuating highly non-stationary noise components. In this paper, we introduce a microphone array post-filtering approach, applicable to adaptive beamformer, that differentiates non-stationary noise components from speech components. The ratio between the transient power at the beamformer primary output and the transient power at the reference noise signals is used for indicating whether such a transient is desired or interfering. Based on a Gaussian statistical model and combined with an appropriate spectral enhancement technique, a significantly reduced level of non-stationary noise is achieved without further distorting speech components. Experimental results demonstrate the effectiveness of the proposed method.
76 citations
TL;DR: In this article, the 1/f noise of n-and p-channel MOS transistors was investigated through irradiation and biased anneals, and the majority carrier trapping and detrapping at oxide defects near the Si/SiO/sub 2/ interface was explained.
Abstract: The 1/f noise of n- and p-channel MOS transistors was investigated through irradiation and biased anneals. While the increase in noise during irradiation is similar for both types of devices, the noise differs significantly in response to biased anneals. In particular, the noise decreases with decreasing Delta V/sub ot/ during positive-bias anneals in nMOS transistors but increases during positive-bias anneals for pMOS transistors. Conversely, negative bias anneals increase the noise in nMOS devices but decrease the noise in pMOS devices. These results are explained in terms of majority carrier trapping and detrapping at oxide defects near the Si/SiO/sub 2/ interface. Under normal operating bias conditions (positive bias for nMOS and negative bias for pMOS), the 1/f noise of both n- and p-channel transistors decreases through postirradiation annealing. >
76 citations
TL;DR: The fuzzy-logic-based adaptive strong tracking Kalman filter method is implemented in a CTP system to mitigate the effect of measurement noise and provide a smooth tracking trajectory at different speeds and effectively measures and quantifies the “smoothness” of the touched trajectory.
Abstract: This paper presents a novel 7-in capacitive touch panel (CTP) system with a smooth tracking algorithm that accurately estimates the position where the panel is touched and tracks the trajectory of touch. The proposed CTP system consists of a microcontroller unit, a sensor IC, and an interface board. When a user draws at different speeds, the measurement noise caused by the sensor IC induces an error in the touched position and zigzag trajectory, especially when the motion is slow. The fuzzy-logic-based adaptive strong tracking Kalman filter method is implemented in a CTP system to mitigate the effect of measurement noise and provide a smooth tracking trajectory at different speeds. Moreover, the approach effectively measures and quantifies the “smoothness” of the touched trajectory. Experimental results indicate that the proposed method reduces the measurement noise and decreases the mean tracking error by 85.4% over that achieved using the moving average filter.
76 citations