Constraint based audio interpolators

Abstract

In audio digital signal processing, interpolators are used for a variety of functions, including sample rate conversion. Linear interpolation is commonly used, but has serious signal quality problems for signals with significant high frequency content. Higher order interpolators based on sine functions or other conventional lowpass filter design techniques offer somewhat better performance, but are not optimal in terms of perceived audio performance for a given degree of computational complexity. We present a new technique for the design of higher order interpolators for digital audio which provides improved performance at a given degree of complexity. Also presented are new methods for evaluating audio interpolators.<>