Keith M. Chugg

TL;DR: In this article, the authors present methods, apparatuses, and systems for performing data encoding involving encoding data bits according to an outer convolutional code to produce outer encoded bits processing the inner encoded bits using an interleaver and a logical unit to produce intermediate bits, wherein the logical unit receives a first number of input bits and produces a second number of corresponding output bits, the second number being less than the first number.

TL;DR: In this article, the authors present methods, apparatuses, and systems for performing data encoding involving encoding data bits according to an outer convolutional code, processing the outer encoded bits using an interleaver and a single parity check (SPC) module to produce intermediate bits, and combining the data bits and the punctured bits to produce encoded outputs.

TL;DR: It is shown that a fractionally-spaced whitened matched filter, matched to the known data pulse, provides a set of sufficient statistics when a tapped delay line channel model is assumed, and that the problem is ill-posed when the channel impulse response is generalized to a CT, finite-length model.

TL;DR: The exact expressions for the soft metrics in the presence of parametric uncertainty modeled as a Gauss-Markov process are derived in a novel way that enables the decoupling of complexity and observation length.

TL;DR: The problem of adaptive ID for serial and parallel concatenated convolutional codes (SCCCs and PCCCs or turbo codes) in the presence of carrier-phase uncertainty is examined and several design options are proposed and compared and the impact of parametric uncertainty on previously established results for iterative detection with perfect channel state information (CSI) is assessed.