Hybrid system modeling refers to the construction of system models combining both continuous and discrete dynamics. These models can greatly reduce the complexity of a phystem mod...
The Synchronous Dataflow (SDF) model of computation is popular for modelling the timing behaviour of real-time embedded hardware and software systems and applications. It is an es...
Dimensional reduction is a simplification technique that eliminates one or more dimensions from a boundary value problem. It results in significant computational savings with mini...
Abstract--This letter considers the average complexity of maximum-likelihood (ML) decoding of convolutional codes. ML decoding can be modeled as finding the most probable path take...
: Embedded Computer-based Systems are becoming highly complex and hard to implement because of the large number of concerns the designers have to address. These systems are tightly...