We consider random approximations to deterministic optimization problems. The objective function and the constraint set can be approximated simultaneously. Relying on concentratio...
This paper presents how to find optimized buffer size for VLSI architectures of full-search block matching algorithms. Starting from the DG (dependency graph) analysis, we focus i...
A class of optimal control problem for a semilinear elliptic partial differential equation with control constraints is considered. It is well known that sufficient second-order con...
We introduce two new methods for the demodulation of acoustic signals by posing the problem in a convex optimization framework. This allows the parameters of the modulator and carr...
We analyze spread-spectrum and quantization projection data hiding methods from a game-theoretic point of view, using the bit error rate (BER) as the payoff, and assuming that the...