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🔍 yaman kumar 📂 Engineering 📄 Preprint
Showing 91 results for "yaman kumar" in Engineering · Preprint
Engineering Preprint PDF DOI

Photogrammetry-Reconstructed 3D Head Meshes for Accessible Individual Head-Related Transfer Functions

Ludovic Pirard, Lorenzo Picinali, Katarina C. Poole · 2026

Individual head-related transfer functions (HRTFs) are essential for accurate spatial audio binaural rendering but remain difficult to obtain due to measurement complexity. This study investigates whe…

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Engineering Preprint PDF DOI

Joint Subcarrier Phase Recovery for Nonlinearity Mitigation

Marco Secondini, Stella Civelli · 2026

We propose a low-complexity phase recovery scheme that simultaneously mitigates laser phase noise and fiber nonlinearity across several subcarriers. In a long single-span link with Raman amplification…

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Engineering Preprint PDF DOI

RamanSeg: Interpretability-driven Deep Learning on Raman Spectra for Cancer Diagnosis

Chris Tomy, Mo Vali, David Pertzborn, Tammam Alamatouri, Anna Muhlig, Orlando Guntinas-Lichius, Anna Xylander, Eric Michele Fantuzzi, Matteo Negro, Francesco Crisafi, Pietro Lio, Tiago Azevedo · 2026

Histopathology, the current gold standard for cancer diagnosis, involves the manual examination of tissue samples after chemical staining, a time-consuming process requiring expert analysis. Raman spe…

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Engineering Preprint PDF DOI

A Fractional Variational Approach to Spectral Filtering Using the Fourier Transform

Nelson H. T. Lemes, Jose Claudinei Ferreira, Higor V. M. Ferreira · 2025

The interference of fluorescence signals and noise remains a significant challenge in Raman spectrum analysis, often obscuring subtle spectral features that are critical for accurate analysis. Inspire…

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Engineering Preprint PDF DOI

Rock Classification through Knowledge-Enhanced Deep Learning: A Hybrid Mineral-Based Approach

Iye Szin Ang, Martin Johannes Findl, Elisabeth Hauzinger, Klaus Philipp Sedlazeck, Jyrki Savolainen, Ronald Bakker, Robert Galler, Elmar Rueckert · 2025

Automated rock classification from mineral composition presents a significant challenge in geological applications, with critical implications for material recycling, resource management, and industri…

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Engineering Preprint PDF DOI

Transfer Learning-Enabled Efficient Raman Pump Tuning under Dynamic Launch Power for C+L Band Transmission

Jiaming Liu, Rui Wang, JinJiang Li, Hong Lin, Jing Zhang, Kun Qiu · 2025

We propose a transfer learning-enabled Transformer framework to simultaneously realize accurate modeling and Raman pump design in C+L-band systems. The RMSE for modeling and peak-to-peak GSNR variatio…

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Engineering Preprint PDF DOI

Enhancing Photogrammetry Reconstruction For HRTF Synthesis Via A Graph Neural Network

Ludovic Pirard, Katarina C. Poole, Lorenzo Picinali · 2025

Traditional Head-Related Transfer Functions (HRTFs) acquisition methods rely on specialised equipment and acoustic expertise, posing accessibility challenges. Alternatively, high-resolution 3D modelli…

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Engineering Preprint PDF DOI

A General Nonlinear Model for Arbitrary Modulation Formats in the Presence of Inter-Channel Simulated Raman Scattering

Zhiwei Liang, Bin Chen, Jiwei Xu, Yi Lei, Qingqing Hu, Fan Zhang, Gabriele Liga · 2025

The four-dimensional nonlinear model is extended to include the inter-channel stimulated Raman scattering, enabling accurate prediction of dual-polarization four-dimensional modulation formats and pro…

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Engineering Preprint PDF DOI

Polynomial Closed Form Model for Ultra-Wideband Transmission Systems

Pierluigi Poggiolini, Yanchao Jiang, Yifeng Gao, Fabrizio Forghieri · 2025

Ultrafast and accurate physical layer models are essential for designing, optimizing and managing ultra-wideband optical transmission systems. We present a closed-form GN/EGN model, named Polynomial C…

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Engineering Preprint PDF DOI

Closed-form Expression for the Power Profile in Wideband Systems with Inter-channel Stimulated Raman Scattering

Lucas Alves Zischler, Chiara Lasagni, Paolo Serena, Alberto Bononi, Giammarco Di Sciullo, Divya A. Shaji, Antonio Mecozzi, Cristian Antonelli · 2025

Wideband systems experience significant inter-channel stimulated Raman scattering (ISRS) and channel-dependent losses. Due to the non-uniform attenuation profile, the combined effects of ISRS and fibe…

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Engineering Preprint PDF DOI

Measurement and Analysis of the Power Consumption of Hybrid-Amplified SCL-band Links

Ronit Sohanpal, Jiaqian Yang, Eric Sillekens, Henrique Buglia, Mingming Tan, Dini Pratiwi, Robert I. Killey, Polina Bayvel · 2025

We studied the power consumption of hybrid-amplified SCL-band links using commercial benchtop amplifiers and Raman pumps. We show a reduction in energy per bit for multi-span hybrid Raman amplified li…

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Engineering Preprint PDF DOI

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders

Pengju Ren, Ri-gui Zhou, Yaochong Li · 2025

Raman spectroscopy serves as a powerful and reliable tool for analyzing the chemical information of substances. The integration of Raman spectroscopy with deep learning methods enables rapid qualitati…

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Engineering Preprint PDF DOI

Signal and Backward Raman Pump Power Optimization in Multi-Band Systems Using Fast Power Profile Estimation

Yanchao Jiang, Jad Sarkis, Stefano Piciaccia, Fabrizio Forghieri, Pierluigi Poggiolini · 2025

This paper presents an efficient numerical method for calculating spatial power profiles of both signal and pump with significant Interchannel Stimulated Raman Scattering (ISRS) and backward Raman amp…

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Engineering Preprint PDF DOI

Expressive Timing in Hindustani Vocal Music

Yash Bhake, Preeti Rao · 2025

Temporal dynamics are among the cues to expres siveness in music performance in different cultures. In the case of Hindustani music, it is well known that expert vocalists often take liberties wit…

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Engineering Preprint PDF DOI

EEG-Based Decoding of Sound Location: Comparing Free-Field to Headphone-Based Non-Individual HRTFs

Nils Marggraf-Turley, Martha Shiell, Niels Pontoppidan, Drew Cappotto, Lorenzo Picinali · 2025

Sound source localization relies on spatial cues such as interaural time differences (ITD), interaural level differences (ILD), and monaural spectral cues. Individually measured Head-Related Transfer …

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Engineering Preprint PDF DOI

Self-Calibrated Dual Contrasting for Annotation-Efficient Bacteria Raman Spectroscopy Clustering and Classification

Haiming Yao, Wei Luo, Tao Zhou, Ang Gao, Xue Wang · 2024

Raman scattering is based on molecular vibration spectroscopy and provides a powerful technology for pathogenic bacteria diagnosis using the unique molecular fingerprint information of a substance. Th…

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Engineering Preprint PDF DOI

Acceleration and Parallelization Methods for ISRS EGN Model

Ruiyang Xia, Guanjun Gao, Zanshan Zhao, Haoyu Wang, Kun Wen, Daobin Wang · 2024

The enhanced Gaussian noise (EGN) model, which accounts for inter-channel stimulated Raman scattering (ISRS), has been extensively utilized for evaluating nonlinear interference (NLI) within the C+L b…

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Engineering Preprint PDF DOI

Adversarial Contrastive Domain-Generative Learning for Bacteria Raman Spectrum Joint Denoising and Cross-Domain Identification

Haiming Yao, Wei Luo, Xue Wang · 2024

Raman spectroscopy, as a label-free detection technology, has been widely utilized in the clinical diagnosis of pathogenic bacteria. However, Raman signals are naturally weak and sensitive to the cond…

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Engineering Preprint PDF DOI

An Algorithm to Speed up the Spatial Power Profile Calculation in Backward Raman Amplified Systems

Jad Sarkis, Yanchao Jiang, Pierluigi Poggiolini · 2024

As data transmission demands grow, long-haul optical transmission links face increasing pressure to increase their throughput. Expanding usable bandwidth through Ultra-Wide Band (UWB) systems has beco…

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Engineering Preprint PDF DOI

Synergizing Hyper-accelerated Power Optimization and Wavelength-Dependent QoT-Aware Cross-Layer Design in Next-Generation Multi-Band EONs

Farhad Arpanaei, Mahdi Ranjbar Zefreh, Yanchao Jiang, Pierluigi Poggiolini, Kimia Ghodsifar, Hamzeh Beyranvand, Carlos Natalino, Paolo Monti, Antonio Napoli, Jose M. Rivas-Moscoso, Oscar Gonzalez de Dios, Juan P. Fernandez-Palacios, Octavia A. Dobre, Jose Alberto Hernandez, David Larrabeiti · 2024

The extension of elastic optical networks (EON) to multi-band transmission (MB-EON) shows promise in enhancing spectral efficiency, throughput, and long-term cost-effectiveness for telecom operators. …

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