Acoustic Noise Cancellation Using LMS Filter On FPGA

  Madhuri Jadhav,  Prof. Aarti Bakshi

Filtering data in real-time requires dedicated hardware to meet demanding time requirements. Programmable Digital Signal Processor (PDSP) systems are replaced by FPGA systems due to their parallel architecture, wide bandwidth, and flexible nature. For speech processing, here we present the applicability of a FPGA system. The adaptive filtering algorithms is used to estimate the signals statistics if prior information of signal is not known. Least Mean Squares (LMS) is implemented for adaption of the filter coefficients as it is one of the widely used algorithm in many signal processing environment. Due to its reliable nature and simplicity, high flexibility and high integrated FPGA technology. LMS algorithm using FPGA technology is well used in adaptive filter, compared with other algorithms it is easy to implement. It has been well regarded in the field of signal processing.

Keywords- Adaptive noise cancellation, LMS Algorithm, FPGA

Unique Identification Number - IJEDR1404099
Page Number(s) - 3997-4004
Pubished in - Volume 2 | Issue 4 | Dec 2014
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Madhuri Jadhav,  Prof. Aarti Bakshi,   "Acoustic Noise Cancellation Using LMS Filter On FPGA", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.2, Issue 4, pp.3997-4004, Dec 2014, Available at :http://www.ijedr.org/papers/IJEDR1404099.pdf