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We propose and demonstrate a power-fading-aware noise-shaping technique for C-band IMDD system with low resolution DAC, which shapes and concentrates quantization noise within the fading-induced notch areas, yielding 94% improvement in…

Signal Processing · Electrical Eng. & Systems 2025-12-24 Xiaobo Zeng , Liangcai Chen , Pan Liu , Ruonan Deng

In this paper, we consider a two-way relay network in which two users exchange messages through a single relay using a physical-layer network coding (PNC) based protocol. The protocol comprises two phases of communication. In the multiple…

Information Theory · Computer Science 2019-05-06 Ronald Y. Chang , Sian-Jheng Lin , Wei-Ho Chung

We present a novel cross-band modulation framework that combines 3D modulation in the RF domain with intensity modulation and direct detection in the optical domain, the first such integration to enhance communication reliability. By…

Signal Processing · Electrical Eng. & Systems 2025-03-24 Thrassos K. Oikonomou , Sotiris A. Tegos , Panagiotis D. Diamantoulakis , George K. Karagiannidis

With the development of wireless network technologies, the wireless image transmission area has become prominent. The need for high resolution, data traffic density, widespread use of multimedia applications, and the importance of high rate…

Signal Processing · Electrical Eng. & Systems 2025-07-15 Burak Ahmet Ozden , Erdogan Aydin , Ahmet Elbir , Filiz Gurkan

Spectral efficiency improvement is a key focus in most wireless communication systems and achieved by various means such as using large antenna arrays and/or advanced modulation schemes and signal formats. This work proposes to further…

Signal Processing · Electrical Eng. & Systems 2022-04-19 Yinglin Chen , Tongyang Xu , Izzat Darwazeh

A new coded modulation scheme is proposed. At the transmitter, the concatenation of a distribution matcher and a systematic binary encoder performs probabilistic signal shaping and channel coding. At the receiver, the output of a bitwise…

Information Theory · Computer Science 2015-04-23 Georg Böcherer , Patrick Schulte , Fabian Steiner

In this paper, we present three new signal designs for Enhanced Spatial Modulation (ESM), which was recently introduced by the present authors. The basic idea of ESM is to convey information bits not only by the index(es) of the active…

Networking and Internet Architecture · Computer Science 2016-05-31 Chien-Chun Cheng , Hikmet Sari , Serdar Sezginer , Yu T. Su

We propose a hybrid coded modulation scheme which composes of inner and outer codes. The outer-code can be any standard binary linear code with efficient soft decoding capability (e.g. low-density parity-check (LDPC) codes). The inner code…

Information Theory · Computer Science 2022-02-07 Sung Hoon Lim , Jiyong Han , Wonjong Noh , Yujae Song , Sang-Woon Jeon

In this paper, we propose the family of Iterative Methods with Adaptive Thresholding (IMAT) for sparsity promoting reconstruction of Delta Modulated (DM) voice signals. We suggest a novel missing sampling approach to delta modulation that…

Information Theory · Computer Science 2020-02-11 Mahdi Boloursaz Mashhadi , Saber Malekmohammadi , Farokh Marvasti

We experimentally demonstrate the joint optimization of transmitter and receiver parameters in directly modulated laser systems, showing superior performance compared to nonlinear receiver-only equalization while using fewer memory taps,…

Signal Processing · Electrical Eng. & Systems 2024-10-24 Sergio Hernandez , Christophe Peucheret , Francesco Da Ros , Darko Zibar

A scheme is proposed that combines probabilistic signal shaping with bit-metric decoding. The transmitter generates symbols according to a distribution on the channel input alphabet. The symbols are labeled by bit strings. At the receiver,…

Information Theory · Computer Science 2014-04-22 Georg Böcherer

We propose Four-Dimensional (4D) energy limit enumerative sphere shaping (ESS) of $M$-QAM signaling to minimize rate loss and improve the transmission performance over non-linear WDM optical-fiber systems. Simulation results show that the…

Information Theory · Computer Science 2023-11-30 Jingtian Liu , Élie Awwad , Yves Jaouën

We propose the affine filter bank modulation (AFBM) waveform for enhanced integrated sensing and communications (ISAC) in sixth generation (6G), designed by drawing on concepts from classical filter bank multicarrier modulation (FBMC)…

A discrete-time Wiener phase noise channel model is introduced in which multiple samples are available at the output for every input symbol. A lower bound on the capacity is developed. At high signal-to-noise ratio (SNR), if the number of…

Information Theory · Computer Science 2014-05-13 Hassan Ghozlan , Gerhard Kramer

Optimal binary labelings, input distributions, and input alphabets are analyzed for the so-called bit-interleaved coded modulation (BICM) capacity, paying special attention to the low signal-to-noise ratio (SNR) regime. For 8-ary pulse…

Information Theory · Computer Science 2011-10-21 Erik Agrell , Alex Alvarado

Optimal binary labelings, input distributions, and input alphabets are analyzed for the so-called bit-interleaved coded modulation (BICM) capacity, paying special attention to the low signal-to-noise ratio (SNR) regime. For 8-ary pulse…

Information Theory · Computer Science 2011-10-21 Erik Agrell , Alex Alvarado

As developments of electromagnetic weapons, Electronic Warfare (EW) has been rising as the future form of war. Especially in wireless communications, the high security defense systems, such as Low Probability of Detection (LPD), Low…

Systems and Control · Electrical Eng. & Systems 2021-11-18 Junsung Choi , Dongryul Park , Suil Kim , Seungyoung Ahn

Delay alignment modulation (DAM) is an innovative broadband modulation technique well suited for millimeter wave (mmWave) and terahertz (THz) massive multiple-input multiple-output (MIMO) communication systems. Leveraging the high spatial…

Signal Processing · Electrical Eng. & Systems 2024-10-23 Xingwei Wang , Haiquan Lu , Jieni Zhang , Yong Zeng

Purpose: Deep neural networks (DNNs) have been widely applied in medical image classification, benefiting from its powerful mapping capability among medical images. However, these existing deep learning-based methods depend on an enormous…

Computer Vision and Pattern Recognition · Computer Science 2022-10-12 Mengdi Gao , Ximeng Feng , Mufeng Geng , Zhe Jiang , Lei Zhu , Xiangxi Meng , Chuanqing Zhou , Qiushi Ren , Yanye Lu

We present a novel non-linear precoding technique for the transmission of 16 quadrature amplitude modulation (QAM) symbols in a 1-bit massive multi-user (MU) multipleinput- single-output (MISO) downlink system. We deploy low resolution…

Information Theory · Computer Science 2016-12-19 Donia Ben Amor , Hela Jedda , Josef A. Nossek
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