IJRE – Volume 4 Issue 2 Paper 4


Author’s Name :  Mohan R | Premkumar S

Volume 04 Issue 02  Year 2017  ISSN No:  2349-252X  Page no: 16-19






The adaptive filter algorithms are described as the least mean square method that makes successive corrections to the weight vector and leads to the minimum mean square error; the normalized Least Mean Square (LMS) algorithm, commonly used in applications due to its fast convergence and stability. Past strategies for mapping the least mean square finite impulse response filter onto parallel and pipelined architectures either introduce delays within the constant updates or have excessive hardware needs. LMS adaptive Finite Impulse Response (FIR) filter that produces identical output and error signals as would be created by the quality LMS adaptive filter design while not adaptation delays. Unlike existing architectures for delay less LMS adaptation, the new architecture’s throughput is freelance of the filter length. The coefficient values are might to be stored in a shift register, which outputs are connected to multipliers and then to adders. Then registers are required for each and every weight coefficient. It has coded in Verilog, simulated using MODELSIM SE-64 10.1c, synthesized in Xilinx Spartan 3E trainer kit using Xilinx ISE 12.1. The Verilog code for the active noise cancellation filter uses B bits to represent the input, weight coefficients, and register. The lower section of the filter contains a MAC pipelined together with parallelism to increase the throughput, increase the speed with low power consumption

Key Words:

LMS filter, FIR filter, VLSI Design, Active Noise Cancellation


  1. Akanksha Pawar Anil Kumar Sahu Dr G. R. Sinha (2014) “Implementation of LMS Adaptive Filter using High-Speed Vedic Multiplier” International Journal of Engineering Research & Technology (IJERT).Vol.3 Issue 11.NOV-2014.
  2. Hong-Son Vu and Kuan-Hung Chen (2016)” A Low-Power Broad-Bandwidth Noise Cancellation VLSI Circuit Design for In-Ear Headphones IEEE Transaction On Very Large Scale Integration (VLSI) Systems Industrial Electronics.Vol.24 Issue 6 June-2016
  3. Sen M. Kuo, Sohini Mitra, and Woon-Seng Gan (2006) “Active Noise Control System for Headphone Applications” IEEE Transactions On Control Systems Technology.Vol14.No.2 March-2006
  4. Woon S. Gan, Sohini Mitra and Sen M. Kuo (2005) “Adaptive Feedback Active Noise Control Headset: Implementation, Evaluation and Its Extensions IEEE Transactions on Consumer 982 Electronics.Vol.51.No 3 AUGUST-2005
  5. Ying Song, Yu Gong, and Sen M. Kuo (2005) “A Robust Hybrid Feedback Active Noise Cancellation Headset” IEEE Transactions On Speech And Audio Processing.Vol.13.No.4 July-2005
  6. Cheng-Yuan Chang and Sheng-Ting Li (2011) “Active Noise Control in Headsets by Using a Low-Cost Microcontroller” IEEE Transactions On Industrial Electronics.Vol.58.No.5 May-2011
  7. http://www.xilinx.com/support/tutorials