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Wyświetlanie 1-15 z 15
Tytuł:
Acoustic signal processing in passive sonar system with towed array
Autorzy:
Raganowicz, A.
Rudnicki, M.
Schmidt, J.
Powiązania:
https://bibliotekanauki.pl/articles/331645.pdf
Data publikacji:
2008
Wydawca:
Polskie Towarzystwo Akustyczne
Tematy:
sonar system
acoustic signal processing
towed array
Opis:
The aim of this document is to introduce acoustic signal processing in passive sonar system with towed array. The concept of the "acoustic signals processing" includes all possible operations on analogue signals such as amplifying, filtering, sampling and most importantly - operations on digital signals obtained in the sampling process. Digital operations executed in the system include: synchronizing, conversion, sorting, creating deflected beams sets, plotting the power density spectrum received signals and imaging the results. Apart from digital signals processing, we focus on reciprocal connections between microcontrollers and processors in which processing is performed. At the end of this document some exemplary imagings of the output are presented, obtained at the marine testing of this system.
Źródło:
Hydroacoustics; 2008, 11; 329-338
1642-1817
Pojawia się w:
Hydroacoustics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An Efficient Classification of Hyperspectral Remotely Sensed Data Using Support Vector Machine
Autorzy:
Mahendra, H. N.
Mallikarjunaswamy, S.
Powiązania:
https://bibliotekanauki.pl/articles/2134051.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
support vector machine
SVM
central processing unit
CPU
digital signal processor
DSP
field programmable gate array
FPGA
high level synthesis
HLS
hardware description language
HDL
Opis:
This work present an efficient hardware architecture of Support Vector Machine (SVM) for the classification of Hyperspectral remotely sensed data using High Level Synthesis (HLS) method. The high classification time and power consumption in traditional classification of remotely sensed data is the main motivation for this work. Therefore presented work helps to classify the remotely sensed data in real-time and to take immediate action during the natural disaster. An embedded based SVM is designed and implemented on Zynq SoC for classification of hyperspectral images. The data set of remotely sensed data are tested on different platforms and the performance is compared with existing works. Novelty in our proposed work is extend the HLS based FPGA implantation to the onboard classification system in remote sensing. The experimental results for selected data set from different class shows that our architecture on Zynq 7000 implementation generates a delay of 11.26 μs and power consumption of 1.7 Watts, which is extremely better as compared to other Field Programmable Gate Array (FPGA) implementation using Hardware description Language (HDL) and Central Processing Unit (CPU) implementation.
Źródło:
International Journal of Electronics and Telecommunications; 2022, 68, 3; 609--617
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analog Reconfirable Circuits
Autorzy:
Malcher, A.
Falkowski, P.
Powiązania:
https://bibliotekanauki.pl/articles/226956.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
analog signal processing
configurable analog block
CAB
dynamic reconfiguration
field programmable analog array
FPAA
switched capacitor circuits
Opis:
The aim of this paper is to present an overview of a new branch of analog electronics represented by analog reconfigurable circuits. The reconfiguration of analog circuits has been known and used since the beginnings of electronics, but the universal reconfigurable circuits called Field Programmable Analog Arrays (FPAA) have been developed over the last two decades. This paper presents the classification of analog circuit reconfiguration, examples of FPAA solutions obtained as academic projects and commercially available ones, as well as some application examples of the dynamic reconfiguration of FPAA.
Źródło:
International Journal of Electronics and Telecommunications; 2014, 60, 1; 15-26
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of the FPAA to Sample Input Signal for Laboratory Exercise: Pulse Amplitude Modulation
Autorzy:
Grzechca, Damian
Chruszczyk, Lukas
Powiązania:
https://bibliotekanauki.pl/articles/227335.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
field programmable analog array (FPAA)
signal processing
pulse amplitude modulation (PAM)
student laboratory
Opis:
This paper presents exemplary exercise on the fundamentals of signal processing course which is offered for second year bachelor level students. Application of Field Programmable Analog Array (FPAA) for pulse amplitude modulation (PAM) exercise is described with signal processing laboratory. There are presented two methods for implementing PAM modulation and demodulation technique in FPAA module. Example configuration files are available form Authors’ web site.
Źródło:
International Journal of Electronics and Telecommunications; 2020, 66, 1; 25-28
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Calibration of a mixed-signal power network transient stability analysis emulator
Autorzy:
Lanz, G
Fabre, L.
Lilis, G
Kyriakidis, T
Sallin, D
Cherkaoui, R.
Kayal, M.
Powiązania:
https://bibliotekanauki.pl/articles/398094.pdf
Data publikacji:
2013
Wydawca:
Politechnika Łódzka. Wydział Mikroelektroniki i Informatyki
Tematy:
analog computer
calibration
field programmable gate array (FPGA)
FPGA
mixed signal
power system dynamics
komputer analogowy
kalibracja
field-programmable gate array
sygnał mieszany
dynamika systemu elektroenergetycznego
Opis:
The emerging field of power system emulation for real time smart grid management is very demanding in terms of speed and accuracy. This paper provides detailed information about the electronics calibration process of a high-speed power network emulator dedicated to the transient stability analysis of power systems. This emulator uses mixed-signal hardware to model the dynamic behavior of a power network. Special design allows the self-calibration of the analog electronics through successive measurements and correction steps. The calibration operation guarantees high resolution of the transient stability analysis results, so that they can be reliably used for operational planning and control on real power networks.
Źródło:
International Journal of Microelectronics and Computer Science; 2013, 4, 4; 142-147
2080-8755
2353-9607
Pojawia się w:
International Journal of Microelectronics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Employing FPGA DSP blocks for time-to-digital conversion
Autorzy:
Kwiatkowski, Paweł
Powiązania:
https://bibliotekanauki.pl/articles/221505.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
time-to-digital converter
time coding line
time interval counter
digital signal processing
field-programmable gate array
Opis:
The paper presents a novel implementation of a time-to-digital converter (TDC) in field-programmable gate array (FPGA) devices. The design employs FPGA digital signal processing (DSP) blocks and gives more than two-fold improvement in mean resolution in comparison with the common conversion method (carry chain-based time coding line). Two TDCs are presented and tested depending on DSP configuration. The converters were implemented in a Kintex-7 FPGA device manufactured by Xilinx in 28 nm CMOS process. The tests performed show possibilities to obtain mean resolution of 4.2 ps but measurement precision is limited to at most 15 ps mainly due to high conversion nonlinearities. The presented solution saves FPGA programmable logic blocks and has an advantage of a wider operation range when compared with a carry chain-based time coding line.
Źródło:
Metrology and Measurement Systems; 2019, 26, 4; 631-643
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Enhancing speech signals based on an mems microphone array and temporal differences in the incoming signal
Autorzy:
Felcyn, Jan
Raszewski, Michał
Powiązania:
https://bibliotekanauki.pl/articles/2202430.pdf
Data publikacji:
2022
Wydawca:
Politechnika Poznańska. Instytut Mechaniki Stosowanej
Tematy:
microphone array
speech enhancement
direction of arrival
signal processing
macierz mikrofonów
uzdatnianie mowy
kierunek nadejścia sygnału
przetwarzanie sygnałów
Opis:
The development of the Internet of things and automatisation in everyday life also influences our houses. There are more and more devices on the market which can be controlled remotely. One kind of such control involves the use of voice signals. This method tends to use microphone arrays and dedicated algorithms to enhance the speech signal and recognize the words in it. In this project, a small 5-microphone array was developed. To enhance the quality of the signal, dedicated software was written. It consists of several modules, including the direction of arrival estimation, denoising, and differentiation between adults and children. The results showed that the custom algorithm can increase the signal to noise ratio by up to 6 dB.
Źródło:
Vibrations in Physical Systems; 2022, 33, 2; art. no. 2022202
0860-6897
Pojawia się w:
Vibrations in Physical Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Localisation of partial discharges sources using acoustic transducers arrays
Autorzy:
Polak, F.
Sikorski, W.
Siodła, K.
Powiązania:
https://bibliotekanauki.pl/articles/97543.pdf
Data publikacji:
2014
Wydawca:
Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
Tematy:
partial discharge
Signal Source Localisation
Transducer Array
Direction of Arrival (DOA) Estimation
music
Opis:
This paper concerns the issue of the partial discharge (PD) sources location using acoustic emission transducer arrays technique and the high resolution direction of arrival estimation technology. In addition to the theoretical assumptions of both techniques, the simulation result, in which an uniform linear array (ULA) was used for registration of the acoustic emission signals generated by defects in power transformer insulation system were shown. To estimate the direction of arrival (DOA) of acoustic signals, that propagate from the discharge-generating defect to the transducer array installed on transformer tank, Multiple Signal Classification (MUSIC) algorithm was chosen. With the ability to locate multisource discharges (even at very low signal-to-noise ratio - SNR), the adopted solution has advantages over conventional techniques.
Źródło:
Computer Applications in Electrical Engineering; 2014, 12; 237-245
1508-4248
Pojawia się w:
Computer Applications in Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Methods of extracting electrocardiograms from electronic signals and images in the Python environment
Autorzy:
Zholmagambetova, Bakhytgul
Mazakov, Talgat
Jomartova, Sholpan
Izat, Adilzhan
Bibalayev, Olzhas
Powiązania:
https://bibliotekanauki.pl/articles/328664.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
Tematy:
ECG signal
MIT/BIH
Python
image processing
one-dimensional array
OpenCV
Matplotlib
NumPy
sygnał EKG
przetwarzanie obrazu
Opis:
High-quality signal processing of an electrocardiogram (ECG) is an urgent problem in present day diagnostics for revealing dangerous signs of cardiovascular diseases and arrhythmias in patients. The used methods and programs of signal analysis and classification work with the arrays of points for mathematical modeling that must be extracted from an image or recording of an electrocardiogram. The aim of this work is developing a method of extracting images of ECG signals into a one-dimensional array. An algorithm is proposed based on sequential color processing operations and improving the image quality, masking and building a one-dimensional array of points using Python tools and libraries with open access. The results of testing samples from the ECG database and comparing images before and after processing show that the signal extraction accuracy is approximately 95 %. In addition, the presented application design is simple and easy to use. The proposed program for analyzing and processing the ECG data has a great potential in the future for the development of more complex software applications for automatic analyzing the data and determining arrhythmias or other pathologies.
Źródło:
Diagnostyka; 2020, 21, 3; 95-101
1641-6414
2449-5220
Pojawia się w:
Diagnostyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Non-contact harmonic detection of ferromagnetic material defects based on SQGSR and OPLTF
Autorzy:
Zhao, Yizhen
Wang, Xinhua
Chen, Yingchun
Ju, Haiyang
Shuai, Yi
Powiązania:
https://bibliotekanauki.pl/articles/1848986.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
harmonic detection
ferromagnetic materials defects
focusing vector array
signal extraction algorithm
Opis:
In order to find the defects in ferromagnetic materials, a non-contact harmonic detection method is proposed. According to the principle of frequency modulated carrier wave, a tunnel magneto resistance harmonic focusing vector array detector was designed which radiates lower and higher frequency electromagnetic waves through the coil array to the detection targets. We use bistable stochastic resonance to enhance the energy of collected weak target signal and apply quantum computation and a Sobol low deviation sequence to improve genetic algorithm performance. Then we use the orthogonal phase-locked loop to eliminate the intrinsic background excitation field and tensor calculations to fuse the vector array signal. The finite element model of array detector and the magnetic dipole harmonic numerical model were also established. The simulation results show that the target signal can be identified effectively, its focusing performance is improved by 2 times, and the average signal-to-noise ratio is improved by 9.6 times after the algorithm processing. For the experiments, we take Q235 steel pipeline as the object to realize the recognition of three defects. Compared with the traditional methods, the proposed method is more effective for ferromagnetic materials defects detection.
Źródło:
Metrology and Measurement Systems; 2021, 28, 1; 55-72
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
PCA Assisted DTCWT Denoising for Improved DOA Estimation of Closely Spaced and Coherent Signals
Autorzy:
Ganage, Dharmendra
Ravinder, Yerram
Powiązania:
https://bibliotekanauki.pl/articles/226634.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
DOA estimation
signal denoising
closely spaced
coherent signal
adaptive antenna array
antenna elements
Opis:
Performance of standard Direction of Arrival (DOA) estimation techniques degraded under real-time signal conditions. The classical algorithms are Multiple Signal Classification (MUSIC), and Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT). There are many signal conditions hamper on its performance, such as closely spaced and coherent signals caused due to the multipath propagations of signals results in a decrease of the signal to noise ratio (SNR) of the received signal. In this paper, a novel DOA estimation technique named CW-PCA MUSIC is proposed using Principal Component Analysis (PCA) to threshold the nearby correlated wavelet coefficients of Dual-Tree Complex Wavelet transform (DTCWT) for denoising the signals before applying to MUSIC algorithm. The proposed technique improves the detection performance under closely spaced, and coherent signals with relatively low SNR conditions. Also, this method requires fewer snapshots, and less antenna array elements compared with standard MUSIC and wavelet-based DOA estimation algorithms.
Źródło:
International Journal of Electronics and Telecommunications; 2019, 65, 1; 111-117
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Research and Medical Transcranial Doppler System
Autorzy:
Lewandowski, M.
Walczak, M.
Karwat, P.
Witek, B.
Karłowicz, P.
Powiązania:
https://bibliotekanauki.pl/articles/177389.pdf
Data publikacji:
2016
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Doppler system
digital signal processing
hardware-software partitioning
field programmable gate array (FPGA)
Opis:
A new ultrasound digital transcranial Doppler system (digiTDS) is introduced. The digiTDS enables diagnosis of intracranial vessels which are rather difficult to penetrate for standard systems. The device can display a color map of flow velocities (in time-depth domain) and a spectrogram of a Doppler signal obtained at particular depth. The system offers a multigate processing which allows to display a numer of spectrograms simultaneously and to reconstruct a flow velocity profile. The digital signal processing in digiTDS is partitioned between hardware and software parts. The hardware part (based on FPGA) executes a signal demodulation and reduces data stream. The software part (PC) performs the Doppler processing and display tasks. The hardware-software partitioning allowed to build a flexible Doppler platform at a relatively low cost. The digiTDS design fulfills all necessary medical standards being a new useful tool in the transcranial field as well as in heart velocimetry research.
Źródło:
Archives of Acoustics; 2016, 41, 4; 773-781
0137-5075
Pojawia się w:
Archives of Acoustics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
SPOT-GPR: A Freeware Toolfor Target Detection and Localizationin GPR Data Developedwithin the COST Action TU1208
Autorzy:
Meschino, S.
Pajewski, L.
Powiązania:
https://bibliotekanauki.pl/articles/308799.pdf
Data publikacji:
2017
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
Direction-of-Arrival algorithms
Ground-Penetrating Radar
matched filter technique
MUltiple SIgnal Classification (MUSIC)
Sub-Array Processing
Opis:
SPOT-GPR (release 1.0) is a new freeware tool implementing an innovative Sub-Array Processing method, for the analysis of Ground-Penetrating Radar (GPR) data with the main purposes of detecting and localizing targets. The software is implemented in Matlab, it has a graphical user interface and a short manual. This work is the outcome of a series of three Short-Term Scientific Missions (STSMs) funded by European COoperation in Science and Technology (COST) and carried out in the framework of the COST Action TU1208 “Civil Engineering Applications of Ground Penetrating Radar” (www.GPRadar.eu). The input of the software is a GPR radargram (B-scan). The radargram is partitioned in subradargrams, composed of a few traces (A-scans) each. The multi-frequency information enclosed in each trace is exploited and a set of dominant Directions of Arrival (DoA) of the electromagnetic field is calculated for each sub-radargram. The estimated angles are triangulated, obtaining a pattern of crossings that are condensed around target locations. Such pattern is filtered, in order to remove a noisy background of unwanted crossings, and is then processed by applying a statistical procedure. Finally, the targets are detected and their positions are predicted. For DoA estimation, the MUltiple SIgnal Classification (MUSIC) algorithm is employed, in combination with the matched filter technique. To the best of our knowledge, this is the first time the matched filter technique is used for the processing of GPR data. The software has been tested on GPR synthetic radargrams, calculated by using the finite-difference time-domain simulator gprMax, with very good results.
Źródło:
Journal of Telecommunications and Information Technology; 2017, 3; 43-54
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
State Space-Based Method for the DOA Estimation by the Forward-Backward Data Matrix Using Small Snapshots
Autorzy:
Liu, J.
Powiązania:
https://bibliotekanauki.pl/articles/227085.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
state space-based method
DOA estimation
small snapshots
array signal
antenna elements
forward-backward data Matrix
Opis:
In this presentation, a new low computational burden method for the direction of arrival (DOA) estimation from noisy signal using small snapshots is presented. The approach introduces State Space-based Method (SSM) to represent the received array signal, and uses small snapshots directly to form the Hankel data matrix. Those Hankel data matrices are then utilized to construct forward-backward data matrix that is used to estimate the state space model parameters from which the DOA of the incident signals can be extracted. In contrast to existing methods, such as MUSIC, Root-MUSIC that use the covariance data matrix to estimate the DOA and the sparse representation (SR) based DOA which is obtained by solving the sparsest representation of the snapshots, the SSM algorithm employs forward-backward data matrix formed only using small snapshots and doesn't need additional spatial smoothing method to process coherent signals. Three numerical experiments are employed to compare the performance among the SSM, Root-MUSIC and SR-based method as well as Cramér–Rao bound (CRB). The simulation results demonstrate that when a small number of snapshots, even a single one, are used, the SSM always performs better than the other two method no matter under the circumstance of uncorrelated or correlated signal. The simulation results also show that the computational burden is reduced significantly and the number of antenna elements is saved greatly.
Źródło:
International Journal of Electronics and Telecommunications; 2017, 63, 3; 315-322
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Surface Hardness Prediction Model of Turning Duplex Stainless Steel under Different Cutting Variables
Autorzy:
Abdulateef, Osamah Fadhil
Ali, Abduljabar H.
Al Kareem, Salah Sabeeh Abed
Powiązania:
https://bibliotekanauki.pl/articles/2201899.pdf
Data publikacji:
2023
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
CNC turning
orthogonal array
ANN
signal-to-noise ratio
Opis:
The quality of machine components surfaces plays an important impact on their functional performance. Product performance may be restricted by changes to surface integrity, which includes changes to roughness, hardness, and microstructure. In this research, the impact of cutting variables in CNC turning under the conventional cooling condition on surface hardness of Duplex Stainless Steel. Cutting variables under conventional cooling, including cutting speed, feed, and depth of cut, have been optimized utilizing Taguchi’s L9 orthogonal array designed with three stages of turning variables. The optimal variable stages and the degree of significance of the cutting variables, respectively, were determined utilizing the analysis of means (ANOM) and analysis of variance (ANOVA). Effectiveness tests with optimum stages of variables were done to prove the viability of optimization by utilizing Taguchi. It has been found that the maximum surface hardness is most strongly affected by the feed 71.29%, followed by the depth of cut 12.1%, and finally the cutting speed 11.61%.
Źródło:
Advances in Science and Technology. Research Journal; 2023, 17, 1; 1--7
2299-8624
Pojawia się w:
Advances in Science and Technology. Research Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-15 z 15

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