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Search results for: noise
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Year: 2009, Volume: 9, Issue: 1
... in Figure 1. The circuit parameters of the and features of various PD measurement methods and also lumped parameter model with discrete elements are Ls= 2.5 describe the noise removal, PD location and foreign particle mH, Rs= 18 Ω, Cs= 150 pF and Cg= 850 pF. The part of identification [ ...
Year: 2013, Volume: 13, Number: 4
... using the decision tree represents a single IF-THEN rule. Unfortunately, the algorithm. Secondly we complete this group up to reducts by decision tree-based algorithms do not perceive noise and using discernibility function techniques. Finally, we select only contradictions in data because they assume that Bayes error one reduct with the best classification accuracy by using ...
Year: 2023, Volume: 23, Number: 4
... LED driver is around 1 A, switching power converters, which can also result in 24 V, respectively. malfunctions. In recent years, switching power converter noise reduction is subject to stronger international electromagnetic compatibility (EMC) [29] requirements, such as those set by the Federal Communications Commission (FCC) and ...
Year: 2010, Volume: 10, Issue: 4
... ; (b) each by boundary points (maximum 20 boundary points): edge has associated a list of corresponding radii (the approximately 400 polygons (without noise; corresponding radii are obtained as in the DH method). ï‚· the database B with synthetic shapes of fishes used by This representation is invariant to translation ...
205. Biometric Identification Advances: Unimodal to Multimodal Fusion of Face, Palm, and Iris Features
Year: 2024, Volume: 24, Number: 1
... systems, encompassing multi-sensor, multi-sample, multi- Unimodal biometrics still work effectively, but they struggle algorithm, multi-instance, and multimodal approaches [6]. with noise sensitivity and spoof attack susceptibility since they In order to integrate information from several modalities, rely on a single data source. This paper uses advances in deep ...
Year: 2011, Volume: 11, Number: 1
... 4G systems such as randomness in traffic and channel propagation models. In LTE-Advanced [6-7]. At its core, 802.16m uses time-tested these networks the signal to noise ratio of received signal technologies such as Orthogonal Frequency Division changes dynamically, which in turn switches to more or less Multiplexing (OFDM), Orthogonal Frequency Division ...
Year: 2022, Volume: 22, Number: 3
... the Histogram of Oriented Gradients (HOG) method is refined. Since the pixels with low contrast are prone to for feature computation. HOG is applied with trilinear noise, keypoints with low contrast are discarded using a interpolation to gain performance improvement. This paper examines the effect of interpolation on the performance of threshold. Then ...
208. Gaussian Source Coding using a Simple Switched Quantization Algorithm and Variable Length Codewords
Year: 2020, Volume: 20, Number: 4
... quantizer represents an improvement of provide the signal quality (measured by SQNR (Signal to the standard μ-law quantizer in terms of bit rate, at the same Quantization Noise Ratio)) close to the optimal Lloyd- time providing the equal signal quality. The main concept of Max's quantizer; however its robustness remains limited, ...
Year: 2016, Volume: 16, Number: 2
... in making the controller suboptimal, such as the cornering stiffness caused by the roll Index Terms — nonlinear equations, optimal control, motion [20] and inaccurate noise models available. quadratic programming, ricatti equation, sliding mode control. Lateral stability is effectively attained by considering individual wheel braking and active steering control; but ...
Year: 2021, Volume: 21, Number: 3
... Terms — image classification, neural networks, of speech [23-24], [29-30] and images [23-24]. The goal of quantization, signal to noise ratio, source coding. our analysis is to maximize SQNR (signal-to-quantization noise ratio) by optimizing the support region threshold (as a I. INTRODUCTION key ...
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