In this paper we propose an analyi-cal method for the design of two-channel optimum FIR compaction lters which determine optimum or-thonormal lter banks. The method is applicable for a fairly large class of random processes. Under some conditions, the method successfully constructs the theoretically optimum solution. Whenever this is the case, the magnitude-squared responses of the l-ters are u...

Policy gradient methods have been widely applied in reinforcement learning. For reasons of safety and cost, learning is often conducted using a simulator. However, learning in simulation does not traditionally utilise the opportunity to improve learning by adjusting certain environment variables – state features that are randomly determined by the environment in a physical setting but controlla...

Advancement in electronics and hardware has resulted in multiple softwares running on the same hardware. The result is multiuser, multitasking, multithreaded and virtualized environments. However, reliability of such high performance computing system depends both on hardware and software. For hardware, aging can be dealt with replacement. But, software aging needs to be dealt with different tec...

Multimodal transport refers to the transportation of goods under a single contract but performed with at least two different modes transport. This research designs new method for solving Transportation Problem (TP) by introducing multimodal systems fuzzy-stochastic environment, which we refer as Fuzzy-Stochastic (FSMMTP). An algorithm is developed reduce FSMMTP deterministic TP, mainly based on...