2 papers
cs.IT2006
Design of Rate-Compatible Serially Concatenated Convolutional Codes
Alexandre Graell i Amat, Fredrik Brannstrom, Lars K. Rasmussen
Recently a powerful class of rate-compatible serially concatenated convolutional codes (SCCCs) have been proposed based on minimizing analytical upper bounds on the error probabili…
cs.IT2005
Non-Data-Aided Parameter Estimation in an Additive White Gaussian Noise Channel
Fredrik Brannstrom, Lars K. Rasmussen
Non-data-aided (NDA) parameter estimation is considered for binary-phase-shift-keying transmission in an additive white Gaussian noise channel. Cramer-Rao lower bounds (CRLBs) for…