Abstract— To meet the challenge of increasing design complexity, designers are turning to system level design languages to model systems at a higher level of abstraction. This pa...
A method of data embedding based on the convolution of message data with a random phase carrier is presented. The theory behind this method is reviewed and it is shown that the te...
Spectral methods for nonlinear dimensionality reduction (NLDR) impose a neighborhood graph on point data and compute eigenfunctions of a quadratic form generated from the graph. W...
Compositional approaches to system-level performance analysis have shown great flexibility and scalability in the design of heterogeneous systems. These approaches often assume c...
Abstract. Clustering has recently enjoyed progress via spectral methods which group data using only pairwise affinities and avoid parametric assumptions. While spectral clustering ...