Digital Integrated Circuit For Extracting Features Out Of An Input Image Based On Cellular Neural Networks
Number of patents in Portfolio can not be more than 2000
United States of America Patent
Stats
-
N/A
Issued Date -
N/A
app pub date -
Oct 10, 2016
filing date -
Oct 10, 2016
priority date (Note) -
Granted
status (Latency Note)
Importance
Abstract
Digital integrated circuit (IC) for extracting features out of input image is disclosed. The IC contains one or more identical cellular neural networks (CNN) processing engines operatively coupled to at least one I/O data bus. Each CNN processing engine includes a CNN processing block, a first set of memory buffers for storing imagery data and a second set of memory buffers for storing filter coefficients. CNN processing block is configured to simultaneously perform 3×3 convolutions at M×M pixel locations using received imagery data and corresponding filter coefficients. Imagery data represents a (M+2)-pixel by (M+2)-pixel region of the input image. CNN processing block further performs rectification and/or 2×2 pooling operations as directed. When two or more CNN processing engines are configured on the IC, CNN processing engines are connected to one another as a loop via a clock-skew circuit for cyclic data access. M is a positive integer.
First Claim
Family
International Classification(s)
- [Classification Symbol]
- [Patents Count]
Cited Art Landscape
Patent Citation Ranking
Recipient Email Address
Recipient Email Address
Comment
Recipient Email Address
Add to Portfolio(s)
To add this patent to one, or more, of your portfolios, simply click the add button.
This Patent is in these Portfolios:
Add to additional portfolios:
Last Refreshed On:
Changes done successfully