A comparative study of FPGA based CIC filter with delta sigma modulator and adaptive filter for audio noise elimination

Author

Debnath, Depanwita ; Bose, Sayan ; Dey, Anamika ; Sultana, Ayesha

Author_Institution

ECE Dept., Techno India, Kolkata, India

fYear

2014

fDate

Jan. 31 2014-Feb. 2 2014

Firstpage

717

Lastpage

721

Abstract

Cancellation of noise from an audio signal in digital domain is a biding and trendy task. The paper focuses on the comparative study of FPGA based multirate Cascaded Comb Filter along with a delta sigma modulator and Adaptive Filter using Normalized Least Mean Square (NLMS) algorithm. The comparison is done in the domain of noise shaping, device utilization and power consumption. Aim of this design is to reduce the noise from audio signal as well as to enhance the output signal quality with better throughput and lesser hardware usage. These filters are designed and simulated using Xilinx system generator and implemented using FPGA VIRTEX 5 ML506.

Keywords

adaptive filters; audio signal processing; comb filters; delta-sigma modulation; field programmable gate arrays; interference suppression; least mean squares methods; signal denoising; FPGA VIRTEX 5 ML506; FPGA based CIC filter; FPGA based multirate cascaded integrator comb filter; NLMS algorithm; Xilinx system generator; adaptive filter; audio signal noise cancellation; delta sigma modulator; device utilization; noise reduction; noise shaping digital domain; normalized least mean square algorithm; power consumption; signal quality enhancement; Adaptive filters; Delta-sigma modulation; Field programmable gate arrays; Filtering algorithms; Finite impulse response filters; Noise; Adaptive Noise Cancelation (ANC); Adaptive delta Sigma modulator; CIC Filter; FPGA; Gaussian noise; NLMS algorithm; Xilinx System Generator;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Instrumentation, Energy and Communication (CIEC), 2014 International Conference on

Conference_Location

Calcutta

Type

conf

DOI

10.1109/CIEC.2014.6959184

Filename

6959184