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While fully-digital precoding achieves superior performance in massive MIMO systems, it comes with significant drawbacks in terms of computational complexity and power consumption, particularly when operating at millimeter-wave (mmWave)…

Signal Processing · Electrical Eng. & Systems 2025-10-13 Parisa Ramezani , Alva Kosasih , Emil Björnson

The H2M (Hybrid-to-Monolithic) is a monolithic pixel sensor manufactured in a modified \SI{65}{\nano\meter}~CMOS imaging process with a small collection electrode. Its design addresses the challenges of porting an existing hybrid pixel…

Coherent technology inherent with more availabledegrees of freedom is deemed a competitive solution for nextgeneration ultra-high-speed short-reach optical interconnects.However, the fatal barriers to implementing the conventiona.coherent…

Signal Processing · Electrical Eng. & Systems 2024-03-19 Wei Wang , Dongdong Zou , Zhenpeng Wu , Qi Sui , Xingwen Yi , Fan Li , Chao Lu , Zhaohui Li

Orthogonal frequency division multiplexing (OFDM) is a modulation technique susceptible to source, channel and amplifier nonlinearities because of its high peak-to-average ratio (PAPR). The distortion gets worse by increasing the average…

Information Theory · Computer Science 2014-04-07 Mohammad Noshad , Maite Brandt-Pearce

A single-pixel digital holography system with phase-encoded illumination using a digital micromirror device (DMD) as a spatial light modulator (SLM) is presented. The enhanced switching rate of DMDs, far exceeding the stringent frame-rate…

Holographic displays offer significant potential for augmented and virtual reality applications by reconstructing wavefronts that enable continuous depth cues and natural parallax without vergence-accommodation conflict. However, despite…

Programmable optical devices provide performance enhancement and flexibility to spatial multiplexing systems enabling transmission of tributaries in high-order eigenmodes of spatially-diverse transmission media, like multimode fiber (MMF).…

The increasing deployment of powerful Multimodal Large Language Models (MLLMs), typically hosted on cloud platforms, urgently requires effective compression techniques to efficiently transmit signal inputs (e.g., images, videos) from edge…

Computer Vision and Pattern Recognition · Computer Science 2025-09-30 Jinming Liu , Zhaoyang Jia , Jiahao Li , Bin Li , Xin Jin , Wenjun Zeng , Yan Lu

Holographic-type communication brings an immersive tele-holography experience by delivering holographic contents to users. As the direct representation of holographic contents, hologram videos are naturally three-dimensional representation,…

Signal Processing · Electrical Eng. & Systems 2025-03-10 Yiming Jiang , Yanwei Liu , Jinxia Liu , Antonios Argyriou , Yifei Chen , Wen Zhang

This paper aims to jointly determine linear precoding (LP) vectors, beam hopping (BH), and discrete DVB-S2X transmission rates for the GEO satellite communication systems to minimize the payload power consumption and satisfy ground users'…

Signal Processing · Electrical Eng. & Systems 2022-08-23 Vu Nguyen Ha , Ti Ti Nguyen , Eva Lagunas , Juan Carlos Merlano Duncan , Symeon Chatzinotas

Decomposition is a proven way to shrink deep networks without changing input-output dimensionality or interface semantics. We bring this idea to hyperdimensional computing (HDC), where footprint cuts usually shrink the feature axis and…

Machine Learning · Computer Science 2026-02-04 Sanggeon Yun , Hyunwoo Oh , Ryozo Masukawa , Mohsen Imani

Metasurface-generated holography has emerged as a promising route for fully reproducing vivid scenes by manipulating the optical properties of light using ultra-compact devices. However, achieving multiple holographic images using a single…

Spatial light modulators (SLMs) are central to numerous applications ranging from high-speed displays to adaptive optics, structured illumination microscopy, and holography. After decades of advances, SLM arrays based on liquid crystals can…

Optics · Physics 2019-10-23 Cheng Peng , Ryan Hamerly , Mohammad Soltani , Dirk Englund

Hyperdimensional computing (HDC) suits memory, energy, and reliability-constrained systems, yet the standard "one prototype per class" design requires $O(CD)$ memory (with $C$ classes and dimensionality $D$). Prior compaction reduces $D$…

Machine Learning · Computer Science 2026-02-04 Sanggeon Yun , Hyunwoo Oh , Ryozo Masukawa , Pietro Mercati , Nathaniel D. Bastian , Mohsen Imani

Digital holography has applications in bio-imaging because it can simultaneously obtain the amplitude and phase information of a microscopic sample in a single shot, thus facilitating non-contact, noninvasive observation of the 3D shape of…

Graphics · Computer Science 2024-06-14 Yuki Nagahama

In practical applications, low-light images are often compressed for efficient storage and transmission. Most existing methods disregard compression artifacts removal or hardly establish a unified framework for joint task enhancement of…

Image and Video Processing · Electrical Eng. & Systems 2026-05-12 Hantang Li , Qiang Zhu , Xiandong Meng , Lei Xiong , Shuyuan Zhu , Xiaopeng Fan

Image compression under ultra-low bitrates remains challenging for both conventional learned image compression (LIC) and generative vector-quantized (VQ) modeling. Conventional LIC suffers from severe artifacts due to heavy quantization,…

Computer Vision and Pattern Recognition · Computer Science 2025-11-24 Lei Lu , Yize Li , Yanzhi Wang , Wei Wang , Wei Jiang

Computing with high-dimensional (HD) vectors, also referred to as $\textit{hypervectors}$, is a brain-inspired alternative to computing with scalars. Key properties of HD computing include a well-defined set of arithmetic operations on…

Signal Processing · Electrical Eng. & Systems 2018-04-25 Fabio Montagna , Abbas Rahimi , Simone Benatti , Davide Rossi , Luca Benini

We present a new holographic concept, named six-pack holography (6PH), in which we compress six off-axis holograms into a single multiplexed off-axis hologram without loss of magnification or resolution. The multiplexed hologram contains…

Compressed sensing has been discussed separately in spatial and temporal domains. Compressive holography has been introduced as a method that allows 3D tomographic reconstruction at different depths from a single 2D image. Coded exposure is…

Computer Vision and Pattern Recognition · Computer Science 2018-09-05 Zihao Wang , Leonidas Spinoulas , Kuan He , Huaijin Chen , Lei Tian , Aggelos K. Katsaggelos , Oliver Cossairt