Dense CMOS implementation of a binary-programmable cellular neural network.
- Published in:
- International Journal of Circuit Theory & Applications, 2006, v. 34, n. 4, p. 429, doi. 10.1002/cta.365
- By:
- Publication type:
- Article
Works by Paasio, Ari
Results: 7
1
2
REALIZATION OF COUPLINGS IN A POLYNOMIAL TYPE MIXED-MODE CELLULAR NEURAL NETWORK.
- Published in:
- International Journal of Neural Systems, 2003, v. 13, n. 6, p. 443, doi. 10.1142/S0129065703001741
- By:
- Publication type:
- Article
3
An Analog Processor Array Implementing Interconnect-Efficient Reference Data Shift and SAD/SSD Extraction for Motion Estimation.
- Published in:
- EURASIP Journal on Advances in Signal Processing, 2009, p. 1, doi. 10.1155/2009/127630
- By:
- Publication type:
- Article
4
Accelerometer-Based Method for Extracting Respiratory and Cardiac Gating Information for Dual Gating during Nuclear Medicine Imaging.
- Published in:
- International Journal of Biomedical Imaging, 2014, p. 1, doi. 10.1155/2014/690124
- By:
- Publication type:
- Article
5
CNN applications from the hardware point of view: video sequence segmentation.
- Published in:
- International Journal of Circuit Theory & Applications, 2002, v. 30, n. 2/3, p. 117, doi. 10.1002/cta.192
- By:
- Publication type:
- Article
6
A mixed-mode polynomial-type CNN for analysing brain electrical activity in epilepsy.
- Published in:
- International Journal of Circuit Theory & Applications, 2002, v. 30, n. 2/3, p. 165, doi. 10.1002/cta.194
- By:
- Publication type:
- Article
7
CNN template robustness with different output nonlinearities.
- Published in:
- International Journal of Circuit Theory & Applications, 1999, v. 27, n. 1, p. 87, doi. 10.1002/(SICI)1097-007X(199901/02)27:1<87::AID-CTA42>3.0.CO;2-V
- By:
- Publication type:
- Article