Using chaotic signals, we evaluate the performance of the EASI(Equivariant Adaptive Separation via Independence) algorithm, which is a basic algorithm among various on-line ICA (Independent Component Analysis) algorithms. We found that the EASI algorithm in fixed-point (16-bit) arithmetic can recover the chaotic signals successfully as well as the algorithm in floating-point arithmetic. We can implement the algorithm in fixed-point arithmetic to Virtex-IV SX25 FPGA (Field Programmable Gate Arrays) up to the 4x4 design.