Author_Institution :
Univ. of South Florida, Tampa, FL, USA
Abstract :
We map a software radio function to a coarse grain platform, namely the J-platform. In our previous work the J-platform was based on two types of cells, namely the MA PLUS, which is an enhanced multiply-add cell, and the UNL, a Universal NonLinear cell. We introduce one more cell, namely the DF cell, which is a Data Fabric cell. These three cells account for the versatility of the approach and provide an unprecedented capability for coarse-grain reconfigurable computing. Although the applications range from FIR filtering of images and video to large-scale inverse problems, and from reconstruction of computerized tomography images to color conversion of video from the RGB to HSI domain, we present a new type of application, namely a computation intensive function of software radio. Specifically, we discuss very high “spur free dynamic range (SFDR)” interpolation for sample rate conversion in IF band. The high SFDR values, up to 130 dB, are achieved through a new family of interpolation filters as proposed in the paper. Significant improvement in both performance and design time is thereby achieved
Keywords :
FIR filters; filtering theory; interpolation; reconfigurable architectures; telecommunication computing; Data Fabric cell; IF band; Universal NonLinear cell; coarse grain platform; coarse-grain reconfigurable computing; computation intensive function; enhanced multiply-add cell; high-speed wireless communication; interpolation filters; performance; reconfigurable J-platform; sample rate conversion; software radio function; spur free dynamic range interpolation; Application software; Fabrics; Filtering; Finite impulse response filter; Image converters; Interpolation; Inverse problems; Large-scale systems; Software radio; Wireless communication;