|Institution:||Illinois Institute of Technology|
|Department:||Computer and Electrical Engineering|
|Keywords:||M.S. in Computer and Electrical Engineering, May 2014|
|Full text PDF:||http://hdl.handle.net/10560/3318|
This thesis presents realizations of IEEE-754 single precision floating point non-invasive fetal ECG estimation based on QR Decomposition Recursive Least Square algorithm (QRD-RLS). Experiments of the system, which is implemented on Xilinx Zynq SoC platform, are carried out with electrocardiogram (ECG) data and the results with analysis are presented. The embedded system design aims for saving resources, streaming pipeline performance and software-aid computation and integration. The challenge of exploiting the system full potential with pseudo-parallel computation on multiple fetal ECG data packets is also examined.