Techniques for developing low-complexity, robust Digital Signal Processing (DSP) algorithms with low-power consumption have become increasingly important. This thesis explores a framework, discrete-time randomized sampling, which allows the design of algorithms that meet some desired complexity, robustness or power constraints. Three distinct sampling schemes are presented based on randomized s...

Importance sampling methods are extensively used in time-independent reliability analysis. However, the kind of is barely studied field time-variant This article presents an importance method for It increases probability failure trajectories a performance function. To develop method, instantaneous function at predefined time instant regarded as one. A first implemented on order to obtain sample...