This paper proposes an FPGA implementation of an Adaptive Noise Canceller using the Least Mean Square (LMS) algorithm. The hardware architecture is synthesized using the Xilinx Spartan-3e Starter Kit as the target board. The experimental result of the hardware implementation shows the performance of LMS algorithm under different conditions and the feasibility of our architecture. A comparison between hardware and pure software implementation is then made with different filter taps.