A. Paasio

发表

Building Blocks for High Performance Digital to Analog Converters

Jonne Poikonen, K. Halonen, A. Paasio, 2000 .

Analog Cellular Neural Network Design as a Student Team Work Project

Kari Halonen, Veikko Porra, A. Paasio, 1994 .

A mixed–mode array processor with polynomial–type couplings

Mika Laiho, A. Kananen, A. Paasio, 2002 .

A method for parallel A / D conversion to correct the error, equalizer and parallel A / D converter

Saska Lindfors, Kari Halonen, A. Kananen, 1998 .

Design of Analogue Programmable CMOS Cellular Neural Networks with Local Cell Logic

Kari Halonen, Veikko Porra, A. Paasio, 1993 .

Design of an Analogue Programmable Current Mode Cellular Neural Network

Kari Halonen, Veikko Porra, A. Paasio, 1994 .

A 64x64 cell mixed-mode array processor prototyping system

A. Paasio, M. Laiho, J. Poikonen, 2008, 2008 11th International Workshop on Cellular Neural Networks and Their Applications.

First measurement results of a gray-code current-mode ADC

A. Paasio, J. Poikonen, L. Vesalainen, 2004, Proceedings Norchip Conference, 2004..

Mixed-signal Viterbi decoder for a MB-OFDM receiver

A. Paasio, M. Laiho, J. Maunu, 2008, 2008 IEEE International Conference on Ultra-Wideband.

Current mismatch and nonlinearity compensation in mixed-mode array processors

A. Paasio, J. Poikonen, J. Maunu, 2008, 2008 11th International Workshop on Cellular Neural Networks and Their Applications.

Demonstration of real-time asynchronous grayscale and binary wave operations on the MIPA4k

A. Paasio, M. Laiho, J. Poikonen, 2010, 2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010).

A mixed–mode array processor with polynomial–type couplings

K. Halonen, A. Kananen, A. Paasio, 2002, Proceedings of the 28th European Solid-State Circuits Conference.

Improved CNN algorithm for H.264 motion estimation partitions

K. Halonen, A. Paasio, L. Koskinen, 2005, 2005 9th International Workshop on Cellular Neural Networks and Their Applications.

Performance analysis of BMC and Decision Units in the differential analog Viterbi decoder

A. Paasio, M. Laiho, J. Maunu, 2007, Norchip 2007.

Local binary pattern feature vector extraction with CNN

A. Paasio, M. Laiho, O. Lahdenoja, 2005, 2005 9th International Workshop on Cellular Neural Networks and Their Applications.

An improved processing core for MIPA-processor family

A. Paasio, M. Laiho, 2010, 2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010).

Dedicated hardware for parallel extraction of local binary pattern feature vectors

A. Paasio, M. Laiho, O. Lahdenoja, 2005, 2005 9th International Workshop on Cellular Neural Networks and Their Applications.

Self-adapting compressive image sensing scheme

A. Paasio, M. Laiho, J. Poikonen, 2008, 2008 11th International Workshop on Cellular Neural Networks and Their Applications.

Differential locally updated Viterbi decoder

Mika Laiho, Janne Maunu, A. Paasio, 2007 .

Experiments with Floating Gate Devices in 0.18 and 0.13 Micron CMOS Technologies

A. Paasio, M. Laiho, J. Maunu, 2006, 2006 NORCHIP.

Scalable fault-tolerant logic system based on regular array of locally interconnected gates

A. Paasio, M. Laiho, J. Flak, 2008, 2008 11th International Workshop on Cellular Neural Networks and Their Applications.

Fault-tolerant architecture for nanoelectronic digital logic

A. Paasio, M. Laiho, J. Flak, 2008, 2008 International Conference on Signals and Electronic Systems.

Effects of Partitioning in a Mixed-Mode CNN

Mika Laiho, A. Kananen, A. Paasio, 2001 .

A compact digital CNN array for video segmentation system

A. Paasio, J. Isoaho, J. Paakkulainen, 2000, Proceedings of the 2000 6th IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA 2000) (Cat. No.00TH8509).

A Differential Architecture for an Online

Mika Laiho, Janne Maunu, A. Paasio, 2008 .

Programmable Digital Nested CNN

A. Paasio, J. Poikonen, 2006, 2006 10th International Workshop on Cellular Neural Networks and Their Applications.

Implementation alternatives of a DBNS adder

A. Paasio, M. Laiho, M. Pankaala, 2005, 2005 9th International Workshop on Cellular Neural Networks and Their Applications.

64x64 Active Pixel Sensor with a 0.18 um CMOS process

Kari Halonen, Mika Laiho, A. Paasio, 2003 .

Anisotropie filtering with a resistive fuse network on the MIPA4k processor array

A. Paasio, M. Laiho, J. Poikonen, 2010, 2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010).

An Improved Current Mirror Based Approach for Linear Spatial Filtering

Mika Laiho, A. Kananen, A. Paasio, 2001 .

An Analog Viterbi Decoder Array for DS-UWB Receiver

A. Paasio, M. Laiho, J. Maunu, 2006, 2006 IEEE International Conference on Ultra-Wideband.

A Fast and dense 48 by 48 CMOS Cellular neural Network Chip

Veikko Porra, A. Kananen, A. Paasio, 1997 .

An 8$\times$ 8 Cell Analog Order-Statistic-Filter Array With Asynchronous Grayscale Morphology in 0.13-$\mu{\hbox{m}}$ CMOS

A. Paasio, J. Poikonen, 2009, IEEE Transactions on Circuits and Systems I: Regular Papers.

Parallel processor, a processor and method for solving equations in a parallel

Mika Laiho, A. Kananen, A. Paasio, 2001 .

Nx16 cellular test chips for low-pass filtering

Mika Laiho, A. Kananen, A. Paasio, 2004 .

Mismatch-tolerant asynchronous grayscale morphological reconstruction

A. Paasio, J. Poikonen, 2005, 2005 9th International Workshop on Cellular Neural Networks and Their Applications.

Robustness improvement in binary cellular non-linear network architectures

A. Paasio, M. Laiho, V. Brea, 2005, Proceedings of the 2005 European Conference on Circuit Theory and Design, 2005..

A 130 nm Implementation of Analog Variable Block-Size Motion Estimation Cell

A. Paasio, J. Marku, L. Koskinen, 2007, 2007 International Symposium on Integrated Circuits.

Object segmentation and tracking with asynchronous grayscale and binary wave operations on the MIPA4k

A. Paasio, M. Laiho, J. Poikonen, 2010, 2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010).

Circuit Complexity Problems of Integrated Programmable Cellular Neural Networks

Veikko Porra, A. Paasio, Kari Halonen, 1994 .

A simple variable /spl lambda/ resistive network implementation

A. Kananen, A. Paasio, K. Halonen, 2005, Proceedings of the 2005 European Conference on Circuit Theory and Design, 2005..

Cell Structure for a Capacitively Coupled Binary CNN

Kari Halonen, J. Flak, Mika Laiho, 2004 .

A compact 16x16 CMOS Cellular Neural Network Chip

A. Dawidziuk, Veikko Porra, K. Halonen, 1996 .

A modified in-cell ADC using ranked order extraction

A. Paasio, J. Poikonen, L. Vesalainen, 2005, 2005 9th International Workshop on Cellular Neural Networks and Their Applications.

An analog current-mode 2-D DCT implementation

A. Paasio, J. Poikonen, L. Vesalainen, 2004, Proceedings Norchip Conference, 2004..

0.18 um CMOS Image Sensor for Cellular Computers

Kari Halonen, Mika Laiho, A. Paasio, 2003 .

Implementing grayscale morphological operators with a compact ranked order extractor circuit

A. Paasio, J. Poikonen, 2002, Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications.

On challenges for implementing pixelwise DA converter in 3D

A. Paasio, H. Ansio, 2012, 2012 13th International Workshop on Cellular Nanoscale Networks and their Applications.

Border Connection Schemes in Partitioned Mixed-Mode CNNs

Kari Halonen, Mika Laiho, A. Kananen, 2001 .

Different Integrated Circuit Approaches for Cellular Neural Networks with Adjustable Template Coefficients

Kari Halonen, Veikko Porra, A. Paasio, 1994 .

Interconnect-efficient reference data shift for optimized analog motion estimation

A. Paasio, M. Laiho, J. Poikonen, 2008, 2008 11th International Workshop on Cellular Neural Networks and Their Applications.

A Differential Approach to Analog Viterbi Decoding

A. Paasio, M. Laiho, J. Maunu, 2006, 2006 49th IEEE International Midwest Symposium on Circuits and Systems.

Design of Intergrated CMOS Cellular Neural Networks

Veikko Porra, K. Halonen, A. Paasio, 1995 .

Efficient shift of reference data in analog motion estimation

K. Halonen, A. Paasio, L. Koskinen, 2005, 2005 9th International Workshop on Cellular Neural Networks and Their Applications.

Combination Selection Counter for Gaussian Distribution Applications

J. Plosila, A. Paasio, J. Maunu, 2006, 2006 49th IEEE International Midwest Symposium on Circuits and Systems.