Coded LoRa Frame Error Rate Analysis

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A methodology based on compressive sampling is developed for incomplete wind time-histories reconstruction and extrapolation in a single spatial dimension, as well as for related stochastic field statistics estimation. This relies on l1-norm minimization i ...

We revise the proof of low-rate upper bounds on the reliability function of discrete memoryless channels for ordinary and list-decoding schemes, in particular Berlekamp and Blinovsky's zero-rate bound, as well as Blahut's bound for low rates. The available ...

The work presents the comprehensive design-oriented EKV model for FDSOI technologies, including the backgate effects and geometry dependence. Despite its simplicity, the model correctly captures not only the dependence of the threshold voltage versus the b ...

The recently introduced polar codes constitute a breakthrough in coding theory due to their capacity-achieving property. This goes hand in hand with a quasilinear construction, encoding, and successive cancellation list decoding procedures based on the Plo ...

Model predictive control (MPC) strategies can be applied to the coordination of energy hubs to reduce their energy consumption. Despite the effectiveness of these techniques, their potential for energy savings are potentially underutilized due to the fact ...

The conditional mean is a fundamental and important quantity whose applications include the theories of estimation and rate-distortion. It is also notoriously difficult to work with. This paper establishes novel bounds on the differential entropy of the co ...

We present an analog silicon photomultiplier (SiPM) based on a standard 55-nm Bipolar-CMOS-DMOS (BCD) technology. The SiPM is composed of 16 x 16 single-photon avalanche diodes (SPADs) and measures 0.29 x 0.32 mm(2). Each SPAD cell is passively quenched by ...

The growing popularity of edge computing has fostered the development of diverse solutions to support Artificial Intelligence (AI) in energy-constrained devices. Nonetheless, comparatively few efforts have focused on the resiliency exhibited by AI workload ...

Upper limb impairment is one of the most common problems for people with neurological disabilities, affecting their activity, quality of life (QOL), and independence. Objective assessment of upper limb performance is a promising way to help patients with n ...

Coded LoRa Frame Error Rate Analysis

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Wind data extrapolation and stochastic field statistics estimation via compressive sampling and low rank matrix recovery methods

A Revisitation of Low-Rate Bounds on the Reliability Function of Discrete Memoryless Channels for List Decoding

Comprehensive Design-oriented FDSOI EKV Model

On the Efficiency of Polar-Like Decoding for Symmetric Codes

Distributed model predictive control of buildings and energy hubs

Differential Entropy of the Conditional Expectation Under Additive Gaussian Noise

On Analog Silicon Photomultipliers in Standard 55-nm BCD Technology for LiDAR Applications

Error Resilient In-Memory Computing Architecture for CNN Inference on the Edge

Depth Estimation for Egocentric Rehabilitation Monitoring Using Deep Learning Algorithms