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.
In this paper, we present an algebraic description of the aliasing phenomena evident in the linear sampling process of multidimensional periodic band limited signals. Opposed to the classical Shannon sampling, periodic band limited signals underlie a different aliasing structure providing further freedom in the sampling strategy due to the discreteness of the spectrum. An algebraic formulation of...
Reconstruction of multidimensional signals from the samples of their partial derivatives is known to be an important problem in imaging sciences, with its fields of application including optics, interferometry, computer vision, and remote sensing, just to name a few. Due to the nature of the derivative operator, the above reconstruction problem is generally regarded as ill-posed, which suggests the...
Multichannel Fast QR Decomposition Recursive Least Squares (QRD-RLS) adaptive filtering algorithms have been mostly treated in the literature for channels of equal orders. However, in many applications, such as in the case of Volterra filtering, multichannel algorithms tailored for unequal orders are desirable. In this paper, a general formulation for deriving block versions of the Multichannel Fast...
Tension modulated nonlinearities for the modeling of string instruments are well known to increase the quality of synthesized sounds significantly. These models consider the nonlinear feedback from the string's deflection to one of its physical parameters, the string tension. Obviously this effect occurs for two dimensional models, drums or plates for instance, too, however so far only non real-time...
The fractional differintegration problem is treated from the Signal Processing point of view. A brief review of the Laplace transform approach to differintegration is done. The continuous-time/discrete-time system conversion is discussed and presented a Grünwald-Letnikov integration.
In this paper we propose a novel frequency domain approach for the identification of a multiple-input multiple-output (MIMO) system driven by temporally i.i.d. and spatially independent non-Gaussian processes. The system frequency response is obtained based on singular value decomposition of a matrix constructed based on the power-spectrum and slices of polyspectra of the system output. Since more...
Cognitive Radio Networks (CRN) employ coexistence protocols for spectrum sharing when collocated in a given region. Existing coexistence protocols do not take into consideration the fact that available spectrum bands vary significantly in their characteristics and quality they provide which makes some channels of the spectrum more attractive than others. In this paper, we analyze this situation from...
Signal processing techniques exploiting natural and efficient representations of a class of signals with an underlying parametric model have been extensively studied and successfully applied across many disciplines. In this paper, we focus attention to the representation of one such class, i.e. transient structured signals. The class of transient signals in particular often results in computationally...
This paper presents an FPGA-based real-time simulation system of a nonlinear permanent magnet synchronous machine and its qualification for power hardware-in-the-loop emulation systems. The machine model considers the magnetic anisotropy of the rotor, the saturation of the iron as well as dynamic cross-coupling effects between the direct- and quadrature axis of the machine. A specifically designed...
Based on the very old methods of solving of simultaneous linear congruences, the Chinese Remainder Theorem is still a irreplaceable tool for the Computing, the Signal Processing and the Information Security. We present this potentiality, in a example of application concerning the quaternionic imaging.
In this paper method of impulse response approximation with orthogonal Laguerre functions is used for the approximation of bi-fractional filter (BFF). This filter is a new development in the field of non-integer order signal processing. Filter with three parameters allows advanced shaping of frequency response, especially the phase characteristic. Method of impulse response approximation is a very...
Time differential of arrival (TDOA) localization is frequently based on synchronous measurements of arrival time of a signal at different sensors. The synchronization of sensors clocks is presumed in many TDOA based methods. When this synchronization is not available, usually one sensor emits some synchronizing signal to other sensors of the network. However, this emission violates the passiveness...
In this paper we propose an adaptive estimation algorithm for in-network processing of complex signals. The proposed algorithm, which will be referred as the incremental augmented complex least mean square (IAC-LMS) algorithm, relies on the incremental collaboration among the nodes, and the LMS adaptive filtering. Spatial data mining is archived by the incremental collaboration; while with LMS learning...
Asset prices fluctuate up and down chaotically. Traders, investors and fund managers comb the chaos for exploitable patterns with methods such as moving averages from the realm of technical analysis. In this paper we focus on linear moving averages which aim to smooth asset prices removing fluctuations. First, we will develop a method to measure the smoothness for a linear filter. We will also discuss...
In this paper a new concept based on signal periodicity about AR model is presented, many problems which are difficult to be resolved in classical viewpoint such as order selection, pseudo frequency recognizing, relation determination between coefficient and signal amplitude, and relation determination between order and signal length are investigated profoundly by the new viewpoint, in the last, a...
Health monitoring is investigated for immersed structures. The environment of these structures makes their monitoring and diagnosis very difficult. In this paper, the major challenge is to make easy and efficient the monitoring of this kind of structures. The proposed detection method is based on non contact measurements with acoustic scattering. It uses artificial intelligence, with gaussian neural...
Due to their specific memory effects, memristive systems are potentially useful building blocks for innovative implementations of classical techniques of nonlinear analog signal processing. This paper discusses such properties of memristive systems which would amplify their usefulness in concrete applications. It turns out that systems behaving as ideal memristors may not be suitable candidates for...
The present work is a sequel of our paper [1] where a Bayesian unnormalised smoother was proposed for the so-called class of partially observed reciprocal chains (RC). Within this Bayesian setting, an issue remained unsolved concerning practical implementation due to the unnormalised feature of the smoother. Here a normalised Bayesian smoother is developed for a class of signals even more general...
Paper describes measurement of channel impulse response for instantaneous channel state information (CSI). Measurements were done in indoor environment (laboratory) at Department of Telecommunications and Multimedia, University of Zilina. Carrier frequency 2.4 GHz was used for each measurement. Environment between transmitter and receiver was changed through setting of receiving antenna to two main...
When linear programming is used to decode low-density parity-check (LDPC) codes, the outcome is a codeword or a pseudocodeword that contains fractional symbol values. It is possible to make pseudocodewords infeasible and increase the performance of linear programming decoders by generating redundant parity check equations. In this paper, redundant parity check equations that can eliminate pseudocodewords...
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.