The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Identifying meaningful signal buried in noise is a problem of interest arising in diverse scenarios of data-driven modeling. We present here a theoretical framework for exploiting intrinsic geometry in data that resists noise corruption, and might be identifiable under severe obfuscation. Our approach is based on uncovering a valid complete inner product on the space of ergodic stationary finite valued...
An interesting observation about the well-known AdaBoost algorithm is that, though theory suggests it should overfit when applied to noisy data, experiments indicate it often does not do so in practice. In this paper, we study the behavior of AdaBoost on datasets with one-sided uniform class noise using linear classifiers as the base learner. We show analytically that, under some ideal conditions,...
The study presented in this paper shows how the conduction modes of a three-phase diode rectifier affect the distribution of noise in an ac-fed three-phase motor-drive system. It is found that in all of the conduction modes, the commonly used noise separation equations will not result in a clean separation of the common-mode (CM) and the differential-mode (DM) noise. This paper shows the intricacies...
This paper investigates the influence of the signal to noise ratio (SNR) and the type of a noise on the performance of two adaptive novelty detection methods. The evaluated methods are Learning Entropy (LE) and Error and Learning Based Novelty Detection (ELBND). The methods are compared in empirical way in classification framework. A classification based only on the error of the adaptive model was...
This paper considers specific aspects of lossy compression of noisy remote sensing images. A method based on discrete cosine transform (DCT) in 32×32 pixels blocks is analyzed. Characteristics of noise assumed additive (in original data or after proper variance stabilizing transform), spatially uncorrelated and Gaussian are assumed a priori known. They are taken into consideration in setting quantization...
In pre-processing of spectral data, advancements are yet to be made to discover the most efficient filter and establish parameters which define efficiency. In this paper, a unique method of using the Kalman filter for filtering the spectral data is proposed. Not only is it found that the performance of the Kalman filter is better but also observed that the filter provides better noise suppression...
It is often needed to compress images with providing certain properties or quality. Wavelet based coders SPIHT and JPEG2000 easily produce a desired compression ratio but not quality especially if one deals with compressing images corrupted by noise for which specific behavior of quality metrics on compression ratio (CR) or bpp might be observed. In particular, optimal operation point (OOP) where...
This paper deals with prediction of compression ratio (CR) in lossy compression of noisy remote sensing images using techniques based on discrete cosine transform (DCT). Properties of noise assumed additive (in original data or after proper variance stabilizing transform) are taken into account by setting quantization step (QS) proportional to noise standard deviation. It is shown that simple statistics...
From first-order incremental ΣΔ converters to controlled-oscillator-based converters, many ADC architectures are based on the continuous-time integration of the input signal. However, the accuracy of such converters cannot be properly estimated without establishing the impact of noise. In fact, noise is also integrated, resulting in a random error that is added to the measured value. Since drifting...
In this paper, we analyze properties of the noise in the time-frequency representations. We show that time-frequency representations can be improved by denoising. However, the task and conditions in which noise removal should be performed are not typical for filter design. We demonstrate that leaked noise has specific statistics and spatial correlation characteristics. Some opportunities of denoising...
The paper deals with research of energy characteristics of multilevel modulation techniques for modern broadband radio systems. The problems of modeling and analysis of digital data transmission channel are considered
Various methodologies have been proposed to optimally place wind turbines inside a wind farm to extract maximum energy. However it is highly likely, that these layouts come in the proximity of human habitation leading to a negative impact on their health by creating noise, visual impact, electromagnetic interference etc. Compared to others, noise has become an important point of concern for wind farm...
Power Management Integrated Circuits (PMIC) chips contain large power switches - usually LDMOS transistors, along with low current control circuitry. During transistor switching, charge carriers are injected into the substrate and affect the surrounding devices. In junction isolated technologies, hole injection is effectively suppressed using highly doped n-type layers, while electron injection requires...
This paper presents the design of a low leakage CMOS based switch mode power supply. The switch mode power supply converts the available deregulated A.C or D.C input supply to a regulated D.C output supply. This paper reviews the limitations of conventional linear regulated power supply and focuses on the advantages of switch mode power supply (SMPS) technique. The high frequency transformer used...
This paper presents a novel and unsupervised approach for discovering “sudden” movements in video surveillance videos. The proposed approach automatically detects quick motions in a video, corresponding to any action. A set of possible actions is not required and the proposed method successfully detects potentially alarm-raising actions without training or camera calibration. Moreover, the system...
This paper presents an estimation procedure for exploiting multipath signal propagation in shallow water to perform passive ranging. The scenario of interest is a pair of sensors receiving an underwater acoustic signal that has arrived via a bounce from the ocean floor. This approach also applies in other situations, for example, to multiple airborne sensors passively receiving emissions from an airborne...
Filtering algorithms that use different forms of numerical integration to handle measurement and process non-linearities, such as the cubature Kalman filter, can perform extremely poorly in many applications involving angular measurements. We demonstrate how such filters can be modified to take into account the circular nature of the angular measurements, dramatically improving performance. Unlike...
Behavioral EMI models for the prediction of common-mode (CM) and differential-mode (DM) noise based on Thevenin equivalents were developed earlier for a dc-fed motor-drive system. It was shown that beyond the switching frequency of the drive, the CM noise model behaved like a two-port linear network and could predict changes in the input-side EMI due to any changes in the load-side parameters or vice...
Synchronization in message passing systems is achieved by communication among processes. System and architectural noise and different workloads cause processes to be imbalanced and to reach synchronization points at different time. Thus, both communication and imbalance impact the synchronization performance. In this paper, we study the algorithmic properties that allow the communication in synchronization...
In this paper, a permanent magnet biased inductor has been analysed and designed for a frequency converter. Line current harmonic and conducted emission tests have been carried out to compare the performance of the hybrid inductor. The analysis shows that the hybrid inductor can have volume reduction in comparison with a traditional inductor.
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.