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 ...

Migrating signal-processing algorithms from floating- to fixed-point is often necessary to meet various design constraints, including real-time performance, cost and power dissipation. The migration ...

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 ...

Abstract: Independent component analysis (ICA) is a fundamental and important task in unsupervised learning, that was studied mainly in the domain of Hebbian learning. In this paper, we consider the ...

This document describes the complete bit‑true fixed‑point algorithm for the forward 2‑D DWT (used in image processing) along with the floating‑point inverse DWT. The algorithm includes fixed‑point ...

Abstract: We introduce a fixed-point algorithm, the complex QAM (C-QAM) algorithm, for separation of quadrature amplitude modulated (QAM) sources through independent component analysis. The algorithm ...

Newton's method is actually a special case of what is generally known as a fixed point method. These methods rely on the Fixed point Theorem: ...

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 ...

An illustration of a magnifying glass. An illustration of a magnifying glass.