A Simple Extension of the $\modulo$-$\Lambda$ Transformation
A simple lemma is derived that allows to transform a general scalar (non-Gaussian, non-additive) continuous-alphabet channel as well as a general multiple-access channel into a modulo-additive noise channel. While in general the transformation is information lossy, it allows to leverage linear coding techniques and capacity results derived for networks comprised of additive Gaussian nodes to more general networks.
Summary: The thesis studies both lumbar stabilization implants and total lumbar disc arthroplasty (TLDA), in order to improve the anatomical integration using modern procedures and technologies. The main treated topics are: synthesis of the state-of-the-art research in the interest field, study of lumbar spine biomechanics, 3D modeling of the lumbosacral segment starting from CT images, design constructive solutions of both vertebral and intervertebral stabilization implants, simulating of different functional spinal units, implant manufacturing using modern technologies, and implant endurance testing. The doctoral studies benefit of properly equipped laboratories for completing the expected tasks.