Expertini Research Research

Browse Research Papers

32+ open-access research outputs.

✕ Clear
🔍 michael hoffmann 📂 Engineering
Showing 32 results for "michael hoffmann" in Engineering
Engineering Preprint PDF DOI

Jutted BMOCZ for Non-Coherent OFDM

Parker Huggins, Alphan Sahin · 2026

In this work, we propose a zero constellation for binary modulation on conjugate-reciprocal zeros (BMOCZ), called jutted BMOCZ (J-BMOCZ), and study its application to non-coherent orthogonal frequency…

Read Paper →
Engineering Preprint PDF DOI

Learning Zero Constellations for Binary MOCZ in Fading Channels

Anthony Joseph Perre, Parker Huggins, Alphan Sahin · 2025

In this work, we propose two methods to design zero constellations for binary modulation on conjugate-reciprocal zeros (BMOCZ). In the first approach, we treat constellation design as a multi-label bi…

Read Paper →
Engineering Preprint PDF DOI

A Smooshed BMOCZ Zero Constellation for CFO Estimation Without Channel Coding

Anthony Joseph Perre, Parker Huggins, Alphan Sahin · 2025

In this study, we propose a new binary modulation on conjugate-reciprocal zeros (BMOCZ) zero constellation, which we call smooshed binary modulation on conjugate-reciprocal zeros (SBMOCZ), to address …

Read Paper →
Engineering Preprint PDF DOI

Fourier-Domain CFO Estimation Using Jutted Binary Modulation on Conjugate-Reciprocal Zeros

Parker Huggins, Anthony Joseph Perre, Alphan Sahin · 2025

In this work, we propose jutted binary modulation on conjugate-reciprocal zeros (J-BMOCZ) for non-coherent communication under a carrier frequency offset (CFO). By introducing asymmetry to the Huffman…

Read Paper →
Engineering Preprint PDF DOI

Adaptive Finite State Projection with Quantile-Based Pruning for Solving the Chemical Master Equation

Aditya Dendukuri, Linda Petzold · 2025

We present an adaptive Finite State Projection (FSP) method for efficiently solving the Chemical Master Equation (CME) with rigorous error control. Our approach integrates time-stepping with dynamic s…

Read Paper →
Engineering Preprint PDF DOI

Goal-Oriented Source Coding using LDPC Codes for Compressed-Domain Image Classification

Ahcen Aliouat, Elsa Dupraz · 2025

In the emerging field of goal-oriented communications, the focus has shifted from reconstructing data to directly performing specific learning tasks, such as classification, segmentation, or pattern r…

Read Paper →
Engineering Preprint PDF DOI

A CSI Feedback Framework based on Transmitting the Important Values and Generating the Others

Zhilin Du, Zhenyu Liu, Haozhen Li, Shilong Fan, Xinyu Gu, Lin Zhang · 2024

The application of deep learning (DL)-based channel state information (CSI) feedback frameworks in massive multiple-input multiple-output (MIMO) systems has significantly improved reconstruction accur…

Read Paper →
Engineering Preprint PDF DOI

RobocupGym: A challenging continuous control benchmark in Robocup

Michael Beukman, Branden Ingram, Geraud Nangue Tasse, Benjamin Rosman, Pravesh Ranchod · 2024

Reinforcement learning (RL) has progressed substantially over the past decade, with much of this progress being driven by benchmarks. Many benchmarks are focused on video or board games, and a large n…

Read Paper →
Engineering Preprint PDF DOI

Learning on JPEG-LDPC Compressed Images: Classifying with Syndromes

Ahcen Aliouat, Elsa Dupraz · 2024

In goal-oriented communications, the objective of the receiver is often to apply a Deep-Learning model, rather than reconstructing the original data. In this context, direct learning over compressed d…

Read Paper →
Engineering Preprint PDF DOI

Real-Time Diagnostic Integrity Meets Efficiency: A Novel Platform-Agnostic Architecture for Physiological Signal Compression

Neel R Vora, Amir Hajighasemi, Cody T. Reynolds, Amirmohammad Radmehr, Mohamed Mohamed, Jillur Rahman Saurav, Abdul Aziz, Jai Prakash Veerla, Mohammad S Nasr, Hayden Lotspeich, Partha Sai Guttikonda, Thuong Pham, Aarti Darji, Parisa Boodaghi Malidarreh, Helen H Shang, Jay Harvey, Kan Ding, Phuc Nguyen, Jacob M Luber · 2023

Head-based signals such as EEG, EMG, EOG, and ECG collected by wearable systems will play a pivotal role in clinical diagnosis, monitoring, and treatment of important brain disorder diseases. Howeve…

Read Paper →
Engineering Preprint PDF DOI

Wireless Network Demands of Data Products from Small Uncrewed Aerial Systems at Hurricane Ian

Thomas Manzini, Robin Murphy, David Merrick, Justin Adams · 2023

Data collected at Hurricane Ian (2022) quantifies the demands that small uncrewed aerial systems (UAS), or drones, place on the network communication infrastructure and identifies gaps in the field. D…

Read Paper →
Engineering Preprint PDF DOI

Design and Analysis of Cold Gas Thruster to De-Orbit the PSLV Debris

Roshan Sah, Raunak Srivastava, Kaushik Das · 2022

Today\'s world of space\'s primary concern is the uncontrolled growth of space debris and its probability of collision with spacecraft, particularly in the low earth orbit (LEO) regions. This paper is…

Read Paper →
Engineering Preprint PDF DOI

MICAL: Mutual Information-Based CNN-Aided Learned Factor Graphs for Seizure Detection from EEG Signals

Bahareh Salafian, Eyal Fishel Ben-Knaan, Nir Shlezinger, Sandrine de Ribaupierre, Nariman Farsad · 2022

We develop a hybrid model-based data-driven seizure detection algorithm called Mutual Information-based CNNAided Learned factor graphs (MICAL) for detection of eclectic seizures from EEG signals. Our …

Read Paper →
Engineering Preprint PDF DOI

Hierarchical Softmax for End-to-End Low-resource Multilingual Speech Recognition

Qianying Liu, Zhuo Gong, Zhengdong Yang, Yuhang Yang, Sheng Li, Chenchen Ding, Nobuaki Minematsu, Hao Huang, Fei Cheng, Chenhui Chu, Sadao Kurohashi · 2022

Low-resource speech recognition has been long-suffering from insufficient training data. In this paper, we propose an approach that leverages neighboring languages to improve low-resource scenario per…

Read Paper →
Engineering Preprint PDF DOI

Design of Low Thrust Controlled Maneuvers to Chase and De-orbit the Space Debris

Roshan Sah, Raunak Srivastava, Kaushik Das · 2022

Over the several decades, the space debris at LEO has grown rapidly which had caused a serious threat to the operating satellite in an orbit. To avoid the risk of collision and protect the LEO environ…

Read Paper →
Engineering Preprint PDF DOI

Body Models in Humans and Robots

Matej Hoffmann, Matthew R. Longo · 2022

Neurocognitive models of higher-level somatosensory processing have emphasised the role of stored body representations in interpreting real-time sensory signals coming from the body (Longo, Azanon and…

Read Paper →
Engineering Preprint PDF DOI

Design of the Propulsion System of Nano satellite: StudSat2

Roshan Sah, Prabin Sherpaili, Apurva Anand, Sandesh Hegde · 2021

The increase in the application of the satellite has skyrocketed the number of satellites, especially in the low earth orbit. The major concern today is after the end of life, these satellites become …

Read Paper →
Engineering Preprint PDF DOI

Huffman-Coded Sphere Shaping for Extended-Reach Single-Span Links

Pavel Skvortcov, Ian Phillips, Wladek Forysiak, Toshiaki Koike-Akino, Keisuke Kojima, Kieran Parsons, David S. Millar · 2020

Huffman-coded sphere shaping (HCSS) is an algorithm for finite-length probabilistic constellation shaping, which provides nearly optimal energy efficiency at low implementation complexity. In this pap…

Read Paper →
Engineering Preprint PDF DOI

Comparison of Source Coding Techniques for the Vehicle to Vehicle Communication

Varad Vinod Prabhu, Subrahmanya Gunaga, Rahul M. S., Akash Kulkarni, Nalini C. Iyer · 2020

Autonomous driving is gaining its importance due to the advancements in technology. With the intention of safety during human driving and with the longer-term aim to act as a communication enabler for…

Read Paper →
Engineering Preprint PDF DOI

Huffman-coded Sphere Shaping and Distribution Matching Algorithms via Lookup Tables

Tobias Fehenberger, David S. Millar, Toshiaki Koike-Akino, Keisuke Kojima, Kieran Parsons, Helmut Griesser · 2020

In this paper, we study amplitude shaping schemes for the probabilistic amplitude shaping (PAS) framework as well as algorithms for constant-composition distribution matching (CCDM). Huffman-coded sph…

Read Paper →
Page 1 of 2 Next →