SYSTOLIC DESIGN FOR STATE SPACE MODELS: KALMAN FILTERING AND COMPUTATIONAL NEURAL NETWORKS.

Computer Science

• Neural Network 100%
• State Space 100%
• Data-Dependence Graph 50%
• Digital Signal Processing 50%
• Processor Design 50%
• Desirable Property 50%
• Research Community 50%
• Array Processor 50%
• Parallel Processing 50%
• Signal Processing Application 50%
• Signal Flow Graphs 50%
• Systematic Mapping 50%
• Artificial Intelligence 50%
• Systolic Array 50%

Mathematics

• Neural Network 100%
• Kalman Filtering 100%
• Space Model 100%
• Desirable Property 50%
• Wavefront 50%
• Signal Processing 50%

Keyphrases

• Adaptive State 50%