DSP Sound and Image Processing Laboratory
| Head of Laboratory: | Dr. Nagy Szilvia |
| Phone: | +36-96-503-400 extension: 3220 |
| Mobile: | +36-30-747-9367 |
| E-mail: | nagysz##kukac##sze.hu |
| Website: | https://tat.sze.hu/dsp-hang-es-kepfeldolgozo-labor |
| Address: | 9026 Győr, Egyetem tér 1., L1/109. |
INTRODUCTION OF THE LABORATORY
In the DSP Sound and Image Processing Laboratory, it is possible to learn the basics of digital signal processing and the application of the Matlab software package, as well as the methods of simulating electronic circuits.
The DSP Sound and Image Processing Laboratory is suitable for the analysis of two- or multidimensional discrete distributions, like images, mainly of medical, mechanical and electronic origin, and for the development of classification and analysis algorithms. These algorithms can be based on human expert knowledge or self-learning depending on to the task and patterns.
Internationally recognized results were obtained by the laboratory using wavelelet and entropy-based methods.
INTRODUCTION OF TESTS
| Name of the test | The standard on which the test is based | Accredited test Y/N | Short description |
|---|---|---|---|
| - | - | - | - |
If you have not found the right test or you would like to request a customised test, please contact us!
Dr. Nagy Szilvia
E-mail: nagysz@sze.hu
Phone: +36-96-503-400 extension: 3220
Mobile: +36-30-747-9367
INTRODUCTION OF THE EQUIPMENTS
| Name of the equipment | Parameters, test range | Inquiries/tests |
|---|---|---|
| Silicon Labs EFM32 WG990F256 cortexM4 microcontroller (10 pcs) | - Encapsulation: BGA112, EFM32 Wonder Gecko Starter Kit - Operating voltage: 1.5 V CR2032/USB/super-capacitive (0.03 F) - Interface: Mini USB- J-Link, Micro USB, 160 segment LCD display, 20 spike connectors (2pcs), 2 user buttons, 2 LEDs, tactile slider, light sensor, inductive-capacitive metal sensor - Memory capacity: 256 KB Flash, 32 KB RAM, 32 MB NAND Flash - frequency: max 48 MHz - Number of inputs/outputs: 87 GPIO - F46 |
Microcontroller programming, DSP |
| Texas Instruments TMS320VC5416 DSP card (10 pcs) | - connection method: USB JTAG, 4 Jacks - frequency: 16-160 MHz - Memory: 64K words on board RAM; 256 K words on board Flash ROM - operating voltage: 5 V DC (with 230 V power supply) - Code Composer Studio |
Digital signal processing. |
| HAMEG HM205-3 digital oscilloscopes | - number of buckles: 2 - sampling (Msps): 2*20 - band (MHz): 20 - Ramp-up time: 17.5 ns - input voltage: max. 8.5 V (rms) |
Microcontroller programming basics. |
| Siemens SAB 80C535 microcontroller (10 pcs) | - FZA Microcontroller integrated in display box - operating voltage: 5 V DC, (240 V AC with power supply) - interface: serial port, switchboard - Memory capacity: 8KB ROM, 256 B RAM, external 128 Kb - Frequency: max 16 MHz |
Microcontroller programming basics. |
| Personal computer (2 pcs) | - Intel Core i7-7700 CPU @ 3.6 GHz, 8 GB RAM, Intel HD Graphics 630 | Software development, Matlab, Simplicity Studio, Code Composer Studio, Schematics exercises. |
| Personal computer (10 pcs) | - AMD A10-8500K APU with Radeon HD Graphics, 3.8 GHz, AMD Radeon HD 7660D, 8 GB RAM | Software development, Matlab, Simplicity Studio, Code Composer Studio, Schematics exercises. |
OTHER PROFESSIONAL COMPETENCIES/DEVELOPMENTS
- LT Kóczy, G Kovács, P Földesi, S Nagy, B Tüű-Szabó, G Fogarasi: Crime "Hot-Spots" Identification and Analysis in Hungary by Computational Intelligence Acta Polytechnica Hungarica 16 (10), 2019
- Some notes on the comparison of microgeometric profiles and the use of replicates in microgeometric measurements
- L Solecki L, S Nagy S: Surface Topography: Metrology and Properties 6 (4), 045001, 2018
- F Lilik, S Nagy, LT Kóczy: An improved method for predicting the performance of physical links in telecommunication access networks Complexity 2018, 2018
- B Sziová, S Nagy, J Pipek: Optimization of the prediction of second refined wavelet coefficients in electron structure calculations Open Physics 14 (1), 643-650, 2016
- S Nagy: On the potential for further development of fuzzy classification methods based on wavelets Information Technology, Systems and Computational Physics 945, 56, 2019
- S Nagy, L Solecki: Wavelet analysis and structural entropy based intelligent classification method for the classification of cylinder surfaces of internal combustion engines Interactions Between Computational Intelligence and Mathematics Part 2, 127-138, 2019
- F Lilik, S Nagy, LT Kóczy: On Combination of Wavelet Transformation and Stabilized KH Interpolation for Fuzzy Inferences Based on High Dimensional Sampled Functions Interactions Between Computational Intelligence and Mathematics, 31-42, 2018
COLLEAGUES
| Name | Position | Scope of duties, main activities |
|---|---|---|
| Dr. Nagy Szilvia | Head of laboratory | Management of the laboratory, practical training, R&D activities. |
REFERENCES
