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Stanković: “An architecture for realtime design of the system for multidimensional signal analysis
 in Proc. of the 14th EUSIPCO
"... Multiple clock cycle hardware implementation (MCI) of a flexible system for space/spatialfrequency signal analysis is proposed. Designed special purpose hardware can realize almost all commonly used twodimensional space/spatialfrequency distributions (2D S/SFDs) based on the 2D Shorttime Fouri ..."
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Multiple clock cycle hardware implementation (MCI) of a flexible system for space/spatialfrequency signal analysis is proposed. Designed special purpose hardware can realize almost all commonly used twodimensional space/spatialfrequency distributions (2D S/SFDs) based on the 2D Shorttime Fourier transformation (2D STFT) elements. The flexibility and the ability of sharing functional kernel, known as STFTtoSM gateway, [1], within S/SFDs execution, represent major advantages of this approach. These abilities enable one to optimize critical design performances of the multidimensional system, such as hardware complexity, energy consumption, and cost. 1.
using HighFrequency SurfaceWave
, 2005
"... A novel approach for the detection of maneuvering air targets in seaclutter ..."
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A novel approach for the detection of maneuvering air targets in seaclutter
Mediterranean Conference on Embedded Computing MECO 2012 Bar, Montenegro Timefrequency based analysis of wireless signals
"... Abstract—This paper deals with signal characterization in communication systems. An algorithm for components separation of highly multicomponent wireless signals has been described. Eigenvalue decomposition method along with timefrequency signal distribution is used. Approach has been tested on syn ..."
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Abstract—This paper deals with signal characterization in communication systems. An algorithm for components separation of highly multicomponent wireless signals has been described. Eigenvalue decomposition method along with timefrequency signal distribution is used. Approach has been tested on synthetic IEEE 802.11b wireless signal. This method can be useful for the elimination of frequency collisions interferences that occur in wireless network systems, as well as in separation of different types of signals operating in the same frequency band. Keywordseigenvalue decomposition; timefrequency analysis; wireless signals I.
Research Article Optimal Multitaper Wigner Spectrum Estimation of a Class of Locally Stationary Processes Using Hermite Functions
"... License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. This paper investigates the timediscrete multitapers that give a mean square error optimal Wigner spectrum estimate for a class of locally stationary processes (LSPs) ..."
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License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. This paper investigates the timediscrete multitapers that give a mean square error optimal Wigner spectrum estimate for a class of locally stationary processes (LSPs). The accuracy in the estimation of the timevariable Wigner spectrum of the LSP is evaluated and compared with other frequently used methods. The optimal multitapers are also approximated by Hermite functions, which is computationally more efficient, and the errors introduced by this approximation are studied. Additionally, the number of windows included in a multitaper spectrum estimate is often crucial and an investigation of the error caused by limiting this number is made. Finally, the same optimal set of weights can be stored and utilized for different window lengths. As a result, the optimal multitapers are shown to be well approximated by Hermite functions, and a limited number of windows can be used for a mean square error optimal spectrogram estimate. 1.
Research Article TimeFrequency Detection of Slowly Varying Periodic Signals with Harmonics: Methods and Performance Evaluation
, 2010
"... Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. We consider the problem of detecting an unknown signal from an unknown noise type. We restrict the signal type to a class of slowly varying periodic signal ..."
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Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. We consider the problem of detecting an unknown signal from an unknown noise type. We restrict the signal type to a class of slowly varying periodic signals with harmonic components, a class which includes real signals such as the electroencephalogram or speech signals. This paper presents two methods designed to detect these signal types: the ambiguity filter and the timefrequency correlator. Both methods are based on different modifications of the timefrequencymatched filter and both methods attempt to overcome the problem of predefining the template set for the matched filter. The ambiguity filter method reduces the number of required templates by one half; the timefrequency correlator method does not require a predefined template set at all. To evaluate their detection performance, we test themethods using simulated and real data sets. Experiential results show that the two proposed methods, relative to the timefrequencymatched filter, can more accurately detect speech signals and other simulated signals in the presence of coloured Gaussian noise. Results also show that all timefrequency methods outperform the classical timedomainmatched filter for both simulated and real signals, thus demonstrating the utility of the timefrequency detection approach. 1.
MONTENEGRO
"... Abstract: FPGA implementation of the system for space/spatialfrequency (S/SF) signal analysis is developed. Multiple clock cycle hardware implementation (MCI) of this system is proposed in [1]. The developed system is based on the twodimensional Smethod (2D SM) and its relationship with the 2 ..."
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Abstract: FPGA implementation of the system for space/spatialfrequency (S/SF) signal analysis is developed. Multiple clock cycle hardware implementation (MCI) of this system is proposed in [1]. The developed system is based on the twodimensional Smethod (2D SM) and its relationship with the 2D ShortTime Fourier Transformation (STFT). Designed system optimizes critical design performances of the multidimensional system (hardware complexity, energy consumption, and cost) by sharing functional kernel, known as the STFTtoSM gateway, [2], [3], within the S/SFDs execution. KeyWords: space/spatialfrequency signal analysis, Multiple clock cycle hardware implementation. 1