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.
Estimation of periodic quantities such as angles or phase values is a common problem. However, standard approaches, for example the Kalman filter and extensions thereof, have difficulties when estimating periodic quantities. To address this problem, circular filtering algorithms have been proposed but they are limited to just a single angle. In order to deal with multiple, possibly correlated angles,...
Feature fusion plays an important role in target recognition, especially when single sensor's recognition capability is limited under severe situations. In view of shortcomings of Multi-set Canonical Correlation Analysis (MCCA) and its supervised modified methods in using category information in fusion projection rule learning, a generalized discriminative learning version of MCCA, termed as GDMCCA,...
In this paper we revisit the well known and popular Normalized Subband Adaptive Filter (NSAF). Based on an analysis of the algorithm in the mean and using an analysis strategy presented in [1], we find that the NSAF can be seen as a Richardson iteration applied to a preconditioned augmented Wiener-Hopf equation. This equation is formulated in such a way that its convergence speed can be predicted...
A mixed-signal adaptive filter is proposed which can work with level-crossing ADC to maintain its energy efficiency and signal quality even under powerline interference. The adaptive filter adopts a novel phase and amplitude tracking method which does not require multibit multiplication as the conventional least mean square (LMS) adaptive filter does. It tracks the 60 Hz interference and generate...
This paper presents an analog-to-digital converter with a novel adaptive wavelet-based sampling scheme. The proposed algorithm uses the wavelet transform to localize critical points in the signal, while the estimated Lipschitz exponent describes the signal's shape. Also, a polynomial reconstruction method is proposed and applied to the converter's outputs for a test signal. Results show that it is...
The change of the vibration signal can reflect the mechanical state of the HV circuit breaker. An efficient method of feature extraction of the vibration signal usually pays a key role in the validity of the fault diagnosis and also lays the foundation for the fault classification in the subsequent stage. The paper presented a feature extraction method which is based on average empirical mode decomposition...
This work presents an algorithm to improve the estimation of the position in indoor environments when using an Ultrasonic Local Positioning System (ULPS). This system is composed of several beacons, with an encoded transmission based on 255-bits Kasami sequences and a BPSK modulation. The received ultrasonic signals are processed to determine the time of arrival (ToA) for every beacon. The differences...
The paper is focused on radionavigation systems. The subject of the paper is a design, implementation and experimental verification of an algorithm, which is able to determine time differences between the arrivals of signals from multiple transmitters. The algorithm is a fundamental element for the implementation of the system for position determination using Time Difference Of Arrival (TDOA) method...
A reversible watermarking algorithm in low distortion is proposed for color images in this paper. Through analyzing the correlation of different color components in color image, and expanding prediction pixels by adaptive prediction operator, the embedding of watermark data and the retrieving of the original image are realized. Experiments show that, this algorithm achieves better effect compared...
In this paper, a novel algorithm is developed for the design of minimum-phase FIR filters with sparse impulse responses. Traditional minimum-phase FIR filter design approaches are based on autocorrelation sequences of impulse responses and design problems are formulated as a semidefinite program. To achieve sparse designs, l1 norm of filter coefficients is incorporated in the objective function as...
Recently, a large scale air pollution problems, such as haze and fog bring challenges for target tracking in computer vision. However, most existing tracking algorithms are far from satisfactory in terms of adaptability to complex scenes and restoring the image's quality for hazy scenes. To address this issue, a particle filter based on context tracking algorithm is proposed for real-world hazy scenes...
In this paper, we present an adaptive step-size affine projection algorithm with QR-decomposition for single-carrier frequency-domain equalisation systems. The QR-decomposition mechanism is introduced how to derive the modified inverse autocorrelation matrix based on inverse square-root approach to reduce the complexity. The adaptive step-size mechanism is presented with the increasing prediction...
In system identification one problem is the autocorrelation of the excitation signal which often crucially affects the adaptation process. This paper focuses on the Kalman filter based adaptation working in the frequency domain and the implication due to correlated signal input. Principle simulations and the introduction of a reference model indicate to which extent correlation take effect. The experimental...
We present ABC-MRT16—a new algorithm for objective estimation of speech intelligibility following the Modified Rhyme Test (MRT) paradigm. ABC-MRT16 is simple, effective and robust. When compared to subjective MRT data from 367 diverse conditions that include coding, noise, frame erasures, and much more, ABC-MRT16 (containing just one optimized parameter) yields a very high Pearson correlation (above...
In this paper, transformation and substitution based symmetric key encryption algorithm is proposed. Strong correlation between the adjacent pixels can be observed in the multimedia images. The encryption can be made effective by changing both position and value of each pixel in the image. In the proposed algorithm, each pixel position is scrambled using discrete radon transformation (DRT) and pixel...
In this article, we introduce a direction-of-arrival (DOA) estimation by combining a Lüneburg lens and a frequency tunable metamaterial absorber. The Lüneburg lens is used to physically separate the multiple incident waves with different DOAs and focus them into the different focal points near the lens surface. The metamaterial absorber is set on the focal plane as a sensor array. Therefore, the DOA...
In estimating DOA of incident waves with high accuracy, we often have to take into consideration the angular spread (AS) of each wave due to reflection, diffraction, and scattering. As a method of estimating DOA and AS simultaneously, DOA-Matrix method was proposed. In this paper, we extend the array configuration from the linear array to the planar array for simultaneous estimation of DOA and AS...
The methods of dynamic access to spectrum developed in Cognitive Radio require efficient and robust spectrum detectors. Most of these detectors suffer from four main limits: the computational cost required for the detection procedure; the need of prior knowledge of Primary User's (PU) signal features; the poor performances obtained in low SNR (Signal to Noise Ratio) environment; finding an optimal...
Global Navigation Satellite System (GNSS) is becoming pervasive technology, widely used in many fields, like aviation, railway, maritime and road navigation systems. As a consequence an increasing number of applications are being created and it has become necessary to protect the GNSS receiver from malicious attacks, in order to guarantee the reliability of the navigation solution. In this work, a...
A new method to extract fetal electrocardiogram (FECG) signal from the mixed ECG signals is presented by introducing time-correlation to traditional independent component analysis (ICA). FECG signal extraction is a hot research topic because the FECG signal reflects the heart situation of the fetus and provides the basis of early diagnosis. In this paper, an objective function based on time-correlation...
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.