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This paper proposes an anti-interference affine frequency division multiplexing (AFDM) system to ensure reliability and resource efficiency under malicious high-power interference originating from adversarial devices in high-mobility…

Information Theory · Computer Science 2025-12-18 Peng Yuan , Zulin Wang , Tao Luo , Yuanhan Ni

In this paper, we introduce the Dependent Noise-based Inaccurate Label Distribution Learning (DN-ILDL) framework to tackle the challenges posed by noise in label distribution learning, which arise from dependencies on instances and labels.…

Machine Learning · Computer Science 2024-05-28 Zhiqiang Kou , Jing Wang , Yuheng Jia , Xin Geng

Based on a new equivalent model of quantizer with noisy input recently presented in [23], we propose a new low complexity receiver that takes into account the nonlinear distortion (NLD) generated by Analog to Digital converter (ADC) with…

Signal Processing · Electrical Eng. & Systems 2019-04-23 Arkady Molev-Shteiman , Xiao-Feng Qi , Laurence Mailaender

We consider the downlink of a massive multiuser (MU) multiple-input multiple-output (MIMO) system in which the base station (BS) is equipped with low-resolution digital-to-analog converters (DACs). In contrast to most existing results, we…

Information Theory · Computer Science 2019-01-18 Sven Jacobsson , Giuseppe Durisi , Mikael Coldrey , Christoph Studer

The Kalman filter (KF)-based active noise control (ANC) system demonstrates superior tracking and faster convergence compared to the least mean square (LMS) method, particularly in dynamic noise cancellation scenarios. However, in…

Systems and Control · Electrical Eng. & Systems 2024-12-30 Junwei Ji , Dongyuan Shi , Boxiang Wang , Xiaoyi Shen , Zhengding Luo , Woon-Seng Gan

When a quantizer input signal is the sum of the desired signal and input white noise, the quantization error is a function of total input signal. Our new equivalent model splits the quantization error into two components: a non-linear…

Networking and Internet Architecture · Computer Science 2019-04-19 Arkady Molev-Shteiman , Xiao-Feng Qi , Laurence Mailaender , Narayan Prasad , Bertrand Hochwald

An energy/area-efficient low-cost broadband linearity enhancement technique for electro-optic micro-ring modulators (MRM) is proposed to achieve 6.1-dB dynamic linearity improvement in spurious-free-dynamic-range with intermodulation…

Systems and Control · Electrical Eng. & Systems 2024-07-17 Sumilak Chaudhury , Karl Johnson , Chengkuan Gao , Bill Lin , Yeshaiahu Fainman , Tzu-Chien Hsueh

Next generation wireless communication technology long term evolution (LTE) has implemented orthogonal frequency division multiplexing (OFDM) technique as a strong candidate for radio access systems. It has several attributes such as…

Networking and Internet Architecture · Computer Science 2014-06-12 M. M. Mowla , M. Y. Ali , S. M. M Hasan

In this study, we propose a novel machine learning based algorithm to improve the performance of beyond 5 generation (B5G) wireless communication system that is assisted by Orthogonal Frequency Division Multiplexing (OFDM) and…

Networking and Internet Architecture · Computer Science 2022-01-19 Jafar Norolahi , Paeiz Azmi

Time delay estimation (TDE) plays a key role in acoustic echo cancellation (AEC) using adaptive filter method. Considerable residual echo will be left if estimation error arises. Here, in this paper, we proposed an adaptive filter bank…

Sound · Computer Science 2025-02-11 Lu Ma

The massive deployment of light-emitting diode (LED) lightning infrastructure has opened the opportunity to reuse it as visible light communication (VLC) to leverage the current RF spectrum crisis in indoor scenarios. One of the main…

Information Theory · Computer Science 2020-04-20 Francisco J. Escribano , José Sáez-Landete , Alexandre Wagemakers

This paper introduces a random modulation technique that is decoupled from the channel matrix, allowing it to be applied to arbitrary norm-bounded and spectrally convergent channel matrices. The proposed random modulation constructs an…

Information Theory · Computer Science 2026-01-01 Lei Liu , Yuhao Chi , Shunqi Huang

The development of nonlinear optimization algorithms capable of performing reliably in the presence of noise has garnered considerable attention lately. This paper advocates for strategies to create noise-tolerant nonlinear optimization…

Optimization and Control · Mathematics 2024-10-04 Yuchen Lou , Shigeng Sun , Jorge Nocedal

Analog mixed-signal (AMS) devices promise faster, more energy-efficient deep neural network (DNN) inference than their digital counterparts. However, recent studies show that DNNs on AMS devices with fixed-point numbers can incur an…

The parallel alternating direction method of multipliers (ADMM) algorithms have gained popularity in statistics and machine learning due to their efficient handling of large sample data problems. However, the parallel structure of these…

Statistics Theory · Mathematics 2024-04-11 Xiaofei Wu , Jiancheng Jiang , Zhimin Zhang

Multimodal deep learning systems are deployed in dynamic scenarios due to the robustness afforded by multiple sensing modalities. Nevertheless, they struggle with varying compute resource availability (due to multi-tenancy, device…

Machine Learning · Computer Science 2025-10-29 Jason Wu , Yuyang Yuan , Kang Yang , Lance Kaplan , Mani Srivastava

We analyze out-of-band (OOB) emissions in the massive multi-user (MU) multiple-input multiple-output (MIMO) downlink. We focus on systems in which the base station (BS) is equipped with low-resolution digital-to-analog converters (DACs) and…

Information Theory · Computer Science 2017-12-05 Sven Jacobsson , Giuseppe Durisi , Mikael Coldrey , Christoph Studer

This paper studies the performance of optical orthogonal frequency-division multiplexing (OFDM)-based multi-user integrated sensing and communication (ISAC) systems employing non-orthogonal multiple access (NOMA). Due to their inherent high…

Systems and Control · Electrical Eng. & Systems 2025-11-05 Nam N. Luong , Chuyen T. Nguyen , Thanh V. Pham

The orthogonal frequency division multiplexing (OFDM) transmission has shown promise in applications of visible light communication (VLC). However, the variation of the nonlinearity of the optical power emitted by the high power light…

Signal Processing · Electrical Eng. & Systems 2019-07-24 Luis Carlos Mathias , Jose Carlos Marinello Filho , Taufik Abrao

We develop a novel multi-layer predictor-feedback to achieve exact compensation of state-dependent input delay of general nonlinear integro-differential equations. The system of interest is an unconventional mixed Partial Differential…

Optimization and Control · Mathematics 2026-04-09 Tong Li , Peipei Shang , Mamadou Diagne
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