In a recent survey conducted by AccelChip Inc. (recently acquired by Xilinx), 53% of the respondents identified floating- to fixed-point conversion as the most difficult aspect of implementing an ...

We give an adaptive, fixed-point version of Grover's algorithm. By this we mean that our algorithm performs an infinite sequence of gradually diminishing steps (so we say it's adaptive) that drives ...

Developing fixed-point algorithm descriptions used to require tradeoffs between design functionality, modeling of numerical precision, and validation (simulation) speed. Now, a new class of C++ ...

Abstract: Blind source separation (BSS) problem is often solved by using only one statistical property of original sources. In this work, a method combines non-Gaussianity and nonlinear ...

Abstract: Conventional time-of-arrival (TOA) localization methods often suffer from performance degradation in the presence of outliers. To address this issue, a robust framework is proposed to ...

If you are used to writing software for modern machines, you probably don’t think much about computing something like one divided by three. Modern computers handle floating point quite well. However, ...