Abstract:
The hardware implementation of adaptive filters is a challenging issue in real-time practical noise cancellation, echo cancellation, prediction and system identification ...Show MoreMetadata
Abstract:
The hardware implementation of adaptive filters is a challenging issue in real-time practical noise cancellation, echo cancellation, prediction and system identification applications. In general-purpose applications the hardware utilization and maximum frequency are two important designing criteria. This paper presents hardware implementing of adaptive least mean square (LMS) filter considering fixed step size and self correcting adaptive filter (SCAF) architectures on a spartan3 XC3S400 Field Programmable Gate Arrays (FPGA) chip. The performance of both approaches is compared in terms of convergence speed, hardware utilization and maximum frequency. A CS4334 digital to analog converter (DAC) is considered between FPGA processing board and computer audio card and practical results are monitored by MATLAB SIMULINK using FROM AUDIO DEVICE block.
Published in: 2012 8th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP)
Date of Conference: 18-20 July 2012
Date Added to IEEE Xplore: 17 September 2012
ISBN Information: