creator Wang, Sizhou advisor Saniie, Jafar 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. Submitted by Liana Khananashvili (khananashvili@iit.edu) on 2014-10-27T18:19:34Z No. of bitstreams: 1 Sizhou_Wang_A20249772_MS_Thesis_May2014.pdf: 1543193 bytes, checksum: 3ec92b817cf3bb49a1656821cf729bcb (MD5) Made available in DSpace on 2014-10-27T18:19:34Z (GMT). No. of bitstreams: 1 Sizhou_Wang_A20249772_MS_Thesis_May2014.pdf: 1543193 bytes, checksum: 3ec92b817cf3bb49a1656821cf729bcb (MD5) Previous issue date: 2014-05 M.S. in Computer and Electrical Engineering, May 2014 2014 2014-05 http://hdl.handle.net/10560/3318 en Thesis born digital application/pdf In Copyright http://rightsstatements.org/page/InC/1.0/ Restricted Access ECE / Electrical and Computer Engineering Illinois Institute of Technology Affiliated department