Associative memory with fully parallel nearest-Manhattan-distance search for low-power real-time single-chip applications.
Yuji YanoTetsushi KoideHans Jürgen MattauschPublished in: ASP-DAC (2004)
Keyphrases
- low power
- single chip
- associative memory
- low cost
- high speed
- real time
- signal processor
- power consumption
- low power consumption
- manhattan distance
- euclidean distance
- nearest neighbor search
- cmos image sensor
- image sensor
- kohonen feature map
- search algorithm
- search methods
- nearest neighbor
- exhaustive search
- parallel implementation
- parallel processing
- cmos technology
- dimensionality reduction
- feature extraction
- neural network