VGU RESEARCH REPOSITORY
Please use this identifier to cite or link to this item:
https://epub.vgu.edu.vn/handle/dlibvgu/889| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Hoang Thi Phuong Loan | en_US |
| dc.date.accessioned | 2020-03-12T17:12:38Z | - |
| dc.date.available | 2020-03-12T17:12:38Z | - |
| dc.date.issued | 2017 | - |
| dc.identifier.uri | http://epub.vgu.edu.vn/handle/dlibvgu/889 | - |
| dc.description.abstract | In this thesis, the combination between FPGA and Matlab/Simulink in order to implement Wavelet theory will be focused on. It is much easier for using a FPGA board without coding Verilog HDL (.v) or VHDL (VHSIC Hardware Description Language) (.vhd) language. In fact, thank to this project, it is more optimistic to draw a diagram blocks for Wavelet analysis method simply in Matlab/Simulink, generate them to Verilog HDL or VHDL code files and then flash directly into FPGA boards. The DE2i-150 board with the Altera Cyclone IV FPGA (GX EP4CGX150DF31C7) and digital camera TRDB R2016a are the software in this thesis. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Vietnamese-German University | en_US |
| dc.rights | Attribution-NonCommercial 4.0 International | * |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/ | * |
| dc.subject | FPGA | en_US |
| dc.subject | Matlab simulink | en_US |
| dc.subject | Wavelet theory | en_US |
| dc.subject | HDL | en_US |
| dc.subject | VHDL | en_US |
| dc.subject | Computer vision system | en_US |
| dc.title | Model-driven hardware-software co-design for real-time FPGA - based computer vision systems | en_US |
| dc.type | Thesis | en_US |
| item.fulltext | With Fulltext | - |
| item.languageiso639-1 | other | - |
| item.grantfulltext | restricted | - |
| Appears in Collections: | Mechatronics & Sensor Systems Technology (MSST) | |
Files in This Item:
| File | Description | Size | Format | Existing users please Login |
|---|---|---|---|---|
| Model-driven hardware-software co-design for real-time FPGA - based computer vision systems.pdf | 27.65 MB | Adobe PDF |
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