Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

Wyszukujesz frazę "hardware signal processing" wg kryterium: Temat


Wyświetlanie 1-4 z 4
Tytuł:
Fast Determination of Similarity Between Two Vectors by Means of Analog CMOS Technique
Autorzy:
Wojtyna, R.
Powiązania:
https://bibliotekanauki.pl/articles/226703.pdf
Data publikacji:
2010
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
hardware signal processing
fast Euclidean distance calculation
analog CMOS circuits
Opis:
In this paper, an analog approach to determining a resemblance between two multidimensional vectors is proposed. As the resemblance measure, Euclidean distance is used. The main advantage of the presented method is a very high speed of the Euclidean-distance-measure calculations. The achieved high speed results from the fact that most of arithmetic operations needed to realize the calculations are carried out in parallel. This concerns the required operations of squaring a difference of two corresponding components of the compared vectors. Operating in a transconductane mode (voltage difference squaring transconductors) and a current mode (output square-root extracting circuit), our CMOS circuit is power saving. Its low-power operation results from the fact that sub-circuits of our calculator responsible for the squaring operations (a great number of them in case of large multidimensional vectors) consume no power in the absence of input signals. This takes place when corresponding components of the compared vectors are both equal to zero. The circuit also consumes a reasonably low amount of energy when processing (comparing) a different from zero input data (corresponding vector components). A simplified description of the applied differential squaring transconductors as well as the output current-mode square-root extraction circuit is given and a problem of good cooperation between them is discussed and proper solutions indicated. SPICE simulation results are shown to be in a good agreement with the theory presented.
Źródło:
International Journal of Electronics and Telecommunications; 2010, 56, 4; 417-422
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Large Data Stream Processing : Embedded Systems Design Challenges
Autorzy:
Handzlik, A.
Jabłonski, A.
Powiązania:
https://bibliotekanauki.pl/articles/226898.pdf
Data publikacji:
2010
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
reconfigurable hardware
system on chip
digital signal processing
embedded systems
Opis:
The following paper describes an application of reconfigurable hardware architectures for processing of huge data streams. Radar, sonar and high speed internet networks are typical sources of data that require extreme computing power and resources to enable real time acquisition, processing and management. An approach to monitoring of real time multi-gigabit internet network has been described as a practical application of FPGA based board, designed for fast data processing.
Źródło:
International Journal of Electronics and Telecommunications; 2010, 56, 2; 107-110
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:
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
    Wyświetlanie 1-4 z 4

    Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies