Replicability is a fundamental quality of scientific discoveries: we are interested in those signals that detectable different laboratories, populations, across time etc. Unlike meta-analysis which accounts for experimental variability but does not guarantee replicability, testing partial conjunction (PC) null aims specifically to identify the discovered multiple studies. In many contemporary a...

We devise a universal global adaptive filtering layer, GAFL, capable of “learning” optimal frequency filter for each image in dataset together with the weights base neural network that performs some computer vision task. The proposed approach takes source spatial domain, selects best frequencies Fourier domain benefit task, and prepends inverse-transform to main joint training. Remarkably, such...

A new class of FIR filtering algorithms and VLSI architectures based on the multirate approach were recently proposed. They reduce the computational complexity in FIR filtering, and also retain attractive implementation related properties such as regularity and multiply-and-accumulate (MAC) structure. In addition, the multirate feature can be applied to low-power/high-speed VLSI implementation....

The reliability and increasing performance of search-tree-based interval solvers for solving numerical systems of constraints make them applicable to various expert system domains. Filtering methods are applied in each node of the search tree to reduce the variable domains without the loss of solutions. Current interval-based solvers generally leave it up to the solver designer to decide which ...

The paper presents an orthogonally-anchored adaptive linear interference rejection technique in space-time rake processing. With the use of a super short training sequence, the initial space-time adaptive filtering vector composed of two mutually orthogonal components is calculated by using a projection-based filter optimization technique. The adaptive filter optimization based on the preoptimi...