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The search for binary sequences with low peak sidelobe level value represents a formidable computational problem. To locate better sequences for this problem, we designed a stochastic algorithm that uses two fitness functions. In these…

Artificial Intelligence · Computer Science 2024-06-12 Borko Bošković , Janez Brest

Many challenging tasks in sensor networks, including sensor calibration, ranking of nodes, monitoring, event region detection, collaborative filtering, collaborative signal processing, {\em etc.}, can be formulated as a problem of solving a…

Distributed, Parallel, and Cluster Computing · Computer Science 2008-11-21 Ezra N. Hoch , Danny Bickson , Danny Dolev

Long Range (LoRa) has become a key enabler technology for low power wide area networks. However, due to its ALOHA-based medium access scheme, LoRa has to cope with collisions that limit the capacity and network scalability. Collisions…

Signal Processing · Electrical Eng. & Systems 2022-04-15 Qiaohan Zhang , Ivo Bizon , Atul Kumar , Ana Belen Martinez , Marwa Chafii , Gerhard Fettweis

Interferometric phase linking (IPL) has become a prominent technique for processing images of areas containing distributed scaterrers in SAR interferometry. Traditionally, IPL consists in estimating consistent phase differences between all…

Applications · Statistics 2024-03-14 Phan Viet Hoa Vu , Arnaud Breloy , Frédéric Brigui , Yajing Yan , Guillaume Ginolhac

To meet the high-speed, low-latency, and low-complexity demand for optical interconnects, simplified maximum likelihood sequence estimation (MLSE) is proposed in this paper. Simplified MLSE combines computational simplification and reduced…

Information Theory · Computer Science 2026-01-28 Mengqi Guo , Ji Zhou , Haide Wang , Changyuan Yu , Xiangjun Xin , Liangchuan Li

This paper focuses on an integrated sensing and communication (ISAC) system in the presence of signal-dependent modulated jamming (SDMJ). Our goal is to suppress jamming while carrying out simultaneous communications and sensing. We…

Signal Processing · Electrical Eng. & Systems 2025-03-20 Yu Zhou , Qiao Shi , Zhengchun Zhou , Zilong Liu , Pingzhi Fan

Sequences sets with low aperiodic auto- and cross-correlations play an important role in many applications like communications, radar and other active sensing applications. The use of antipodal sequences reduces hardware requirements while…

Information Theory · Computer Science 2011-02-15 Salvador Javier Haboba , Riccardo Rovatti , Gianluca Setti

In this paper, an iterative method is proposed for nonlinear frequency modulation (NLFM) waveform design based on a constrained optimization problem using Lagrangian method. To date, NLFM waveform design methods have been performed based on…

Signal Processing · Electrical Eng. & Systems 2019-01-25 Roohollah Ghavamirad , Mohammad Ali Sebt

Integrated sensing and communication (ISAC) is a promising technology in future wireless systems owing to its efficient hardware and spectrum utilization. In this paper, we consider a multi-input multi-output (MIMO) orthogonal frequency…

Signal Processing · Electrical Eng. & Systems 2023-10-24 Peishi Li , Zichao Xiao , Ming Li , Rang Liu , Qian Liu

In this paper, we design low correlation binary sequences favorable in wireless communication and radar applications. First, we formulate the designing problem as a nonconvex combination optimization problem with flexible correlation…

Signal Processing · Electrical Eng. & Systems 2021-10-07 Jiangtao Wang , Yongchao Wang

This work investigates robust monotonic convergent iterative learning control (ILC) for uncertain linear systems in both time and frequency domains, and the ILC algorithm optimizing the convergence speed in terms of $l_{2}$ norm of error…

Systems and Control · Electrical Eng. & Systems 2021-01-19 Lanlan Su

In this paper, we propose a novel transmission scheme, called sparse layered MIMO (SL-MIMO), that combines non-orthogonal transmission and singular value decomposition (SVD) precoding. Nonorthogonality in SL-MIMO allows re-using of the…

Information Theory · Computer Science 2022-08-15 Mohamad H. Dinan , Nemanja Stefan Perovic , Mark F. Flanagan

We propose a computational framework named iterative local adaptive majorize-minimization (I-LAMM) to simultaneously control algorithmic complexity and statistical error when fitting high dimensional models. I-LAMM is a two-stage…

Statistics Theory · Mathematics 2017-04-06 Jianqing Fan , Han Liu , Qiang Sun , Tong Zhang

Programmable linear optical interferometers are promising for classical and quantum applications. Their integrated design makes it possible to create more scalable and stable devices. To use them in practice, one has to reconstruct the…

Quantum Physics · Physics 2024-01-12 B. I. Bantysh , A. Yu. Chernyavskiy , S. A. Fldzhyan , Yu. I. Bogdanov

This paper aims to design a set of transmitting waveforms in cognitive colocated Multi-Input Multi-Output (MIMO) radar systems considering the simultaneous minimization of spatial- and the range- Integrated Sidelobe Level Ratio (ISLR). The…

Signal Processing · Electrical Eng. & Systems 2021-07-07 Ehsan Raei , Mohammad Alaee-Kerahrood , M. R. Bhavani Shankar

Signal processing applications use sinusoidal modelling for speech synthesis, speech coding, and audio coding. Estimation of the model parameters involves non-linear optimisation methods, which can be very costly for real-time applications.…

A majorization-minimization (MM) algorithm for independent vector analysis optimizes a separation matrix $W = [w_1, \ldots, w_m]^h \in \mathbb{C}^{m \times m}$ by minimizing a surrogate function of the form $\mathcal{L}(W) = \sum_{i = 1}^m…

Signal Processing · Electrical Eng. & Systems 2022-06-20 Rintaro Ikeshita , Tomohiro Nakatani

In this work, a classical problem of the digital sequence design, or more precisely, finding binary sequences with optimal peak sidelobe level (PSL), is revisited. By combining some of our previous works, together with some mathematical…

Signal Processing · Electrical Eng. & Systems 2021-04-22 Miroslav Dimitrov , Tsonka Baitcheva , Nikolay Nikolov

This paper describes a gradient-descent based optimization algorithm for synthesizing Multi-Tone Sinusoidal Frequency Modulated (MTSFM) waveforms with low Auto-Correlation Function (ACF) sidelobes in a specified region of time delays while…

Signal Processing · Electrical Eng. & Systems 2023-04-25 David G. Felton , David A. Hague

Sequences with low aperiodic autocorrelation sidelobes have been extensively researched in literatures. With sufficiently low integrated sidelobe level (ISL), their power spectrums are asymptotically flat over the whole frequency domain.…

Information Theory · Computer Science 2024-08-27 Cheng Du , Yi Jiang