Optimized Infomax-ICA algorithm on FPGA Architecture for Blind Source Separation
2010
This work presents an optimized Implementation on Field Programmable Gate Array (FPGA) Architecture for an Infomax algorithm based on Independent Component Analysis (ICA). We use this algorithm to solving Blind Source Separation (BSS) problems in real-time mixed signal processing in order to clean speech signals under noisy environments and to probe the potential of this kind of algorithms embedded in hardware architectures. The work shows a new digital architecture of neural network composed by two dimensional arrays, the output signals present successful results according to theorical analysis and achieving the signals separation.
Keywords:
- Blind signal separation
- Hardware architecture
- Algorithm design
- Field-programmable gate array
- Signal processing
- Architecture
- Infomax
- Independent component analysis
- Algorithm
- Electronic engineering
- Computer science
- Theoretical computer science
- Artificial neural network
- Digital architecture
- Mixed-signal integrated circuit
- Correction
- Source
- Cite
- Save
- Machine Reading By IdeaReader
8
References
2
Citations
NaN
KQI