International Conference on Acoustics, Speech, and Signal Processing

Join Elsevier at the 45th ICASSP
May 4 - 8, 2020

How to Get Published: an online workshop for early career researchers and students

Sign up for an online workshop hosted by Senior Publisher of Elsevier's Signal Processing journals, Kay Tancock on 4 May 2020.

A step-by-step guide on how to prepare your article for publication in a journal, hosted by Senior Publisher of Elsevier's Signal Processing journals, Kay Tancock.

This is a straightforward presentation aimed at those new to the publication process, taking you through all the steps you need to know about in order to successfully get published in an international journal. Topics covered include some background on the publishing industry, the different sections of a manuscript, and the importance of using good English language.

Sign up here

Kay Tancock


Featured Journals

Signal Processing

Signal Processing

A publication of the European Association for Signal Processing (EURASIP)

Signal Processing incorporates all aspects of the theory and practice of signal processing. It features original research work, tutorial and review articles, and accounts of practical developments. It is intended for a rapid dissemination of knowledge and experience to engineers and scientists working in the research, development or practical application of signal processing.

Signal Processing: Image Communication

Signal Processing: Image Communication

A publication of the European Association for Signal Processing (EURASIP)

Signal Processing: Image Communication is an international journal for the development of the theory and practice of image communication.

Speech Communication

Speech Communication

A publication of the European Association for Signal Processing (EURASIP) and of the International Speech Communication Association (ISCA)

Speech Communication is an interdisciplinary journal whose primary objective is to fulfil the need for the rapid dissemination and thorough discussion of basic and applied research results.

Digital Signal Processing

Digital Signal Processing

Digital Signal Processing is one of the oldest and most established journals in the field of signal processing yet it aims to be the most innovative.

Biomedical Signal Processing and Control

Biomedical Signal Processing and Control

Biomedical Signal Processing and Control aims to provide a cross-disciplinary international forum for the interchange of information on research in the measurement and analysis of signals and images in clinical medicine and the biological sciences.

Computer Speech and Language

Computer Speech and Language

Computer Speech & Language publishes reports of original research related to the recognition, understanding, production, coding and mining of speech and language.

Measurement: Sensors

Measurement: Sensors

Measurement: Sensors is an open access, multi-disciplinary journal open to original, high-quality contributions from all relevant fields of this highly topical subject.

Array

Array

Array is an international open access multidisciplinary journal encompassing a broad spectrum of topics in computer science.


Editors’ Choice Articles

A selection of articles chosen by the Editors-in-Chief of four of Elsevier's key signal processing journals. All are freely available to read until the end of May.

We hope that ICASSP 2020 participants find these papers interesting and stimulating.

Digital Signal Processing

Editor-in-Chief: Ercan E. Kuruoglu

  1. Massive MIMO is a reality—What is next?: Five promising research directions for antenna arrays
    Emil Björnson, Luca Sanguinetti, Henk Wymeersch, Jakob Hoydis, Thomas L. Marzetta
    November 2019

    This paper provides a historical and contemporary perspective on Massive MIMO stating the current achievements of MIMO technology, and gives a detailed prediction of its future identifying five important research directions: Extremely large aperture arrays, Holographic Massive MIMO, Six-dimensional positioning, Large-scale MIMO radar, and Intelligent Massive MIMO. Each direction is discussed in detail and provides many pointers for further research.
  2. DeepBinaryMask: Learning a binary mask for video compressive sensing
    Michael Iliadis, Leonidas Spinoulas, Aggelos K. Katsaggelos
    January 2020

    The paper proposes an encoder-decoder neural network model referred to as DeepBinaryMask for video compressive sensing. The proposed framework is an end-to-end model where the sensing matrix is trained along with the video reconstruction.  The analysis and discussion offer insights into understanding the characteristics of the trained mask designs that lead to the improved reconstruction quality.
  3. A survey on 5G massive MIMO localization
    Fuxi Wen, Henk Wymeersch, Bile Peng, Wee Peng Tay, ... Diange Yang
    November 2019

    Massive antenna arrays can be used to meet the requirements of 5G, by exploiting different spatial signatures of users. This same property can also be harnessed to determine the locations of those users. In order to perform massive MIMO localization, refined channel estimation routines and localization methods have been developed. This paper provides a brief overview of this emerging field.

Signal Processing: Image Communication

Editor-in-Chief: Andrea Cavallaro

  1. Deep autoencoders for attribute preserving face de-identification
    Paraskevi Nousi, Sotirios Papadopoulos, Anastasios Tefas, Ioannis Pitas
    February 2020

    This article describes the fine-tuning of the encoder of deep autoencoders to perform face de-identification, while maintaining the face-like nature and diversity of input face images.
  2. Densely connected convolutional network block based autoencoder for panorama map compression
    Shengwei Wang, Hongkui Wang, Sen Xiang, Li Yu
    February 2020

    This article describes how to compress panorama images for virtual reality using an autoencoder with dense blocks, which are designed to reuse feature maps and reduce redundancy.
  3. Texture classification using block intensity and gradient difference (BIGD) descriptor
    Yuting Hu, Zhen Wang, Ghassan AlRegib
    April 2020

    This article describes the construction of a local descriptor that is based on randomly sampling multi-scale block pairs, and on the use of the intensity and gradient differences of pairwise blocks.

Signal Processing

Editor-in-Chief: Geert Leus

  1. General sparse risk parity portfolio design via successive convex optimization
    Linlong Wu, Yiyong Feng, Daniel P. Palomar
    May 2020

    The use of signal processing in financial technology is fairly new. This interesting paper shows how sparse signal processing can be used for selecting few assets in a portfolio yet diversifying the risk of the portfolio.
  2. Rethinking sketching as sampling: A graph signal processing approach
    Fernando Gama, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro
    April 2020

    Graph signal processing is becoming an integral part of the signal processing field now and finds applications in many network data processing problems. In this paper, the relations between the field of sketching and sampling are revealed and they are presented in a graph signal processing context.
  3. Joint Doppler and DOA estimation using (Ultra-)Wideband FMCW signals
    Shengzhi Xu, Bert Jan Kooij, Alexander Yarovoy
    March 2020

    This paper first of all presents an interesting signal processing model for an (ultra-)wideband radar system based on FMCW signals. The model nicely reveals the cross-coupling terms due to range migration and the wideband angle of arrival effect. The paper then shows how the cross-couplings can be compensated for in a new MUSIC algorithm. In general, the paper shows the growing importance of signal processing in the radar community.

Computer Speech & Language

Editor-in-Chief: Roger Moore

  1. Voxceleb: Large-scale speaker verification in the wild
    Arsha Nagrani, Joon Son Chung, Weidi Xie, Andrew Zisserman
    March 2020
  2. Evaluating the state-of-the-art of End-to-End Natural Language Generation: The E2E NLG challenge
    Ondřej Dušek, Jekaterina Novikova, Verena Rieser
    January 2020
  3. Preserving privacy in speaker and speech characterisation
    Andreas Nautsch, Abelino Jiménez, Amos Treiber, Jascha Kolberg, Catherine Jasserand, Els Kindt, Héctor Delgado, Massimiliano Todisco, Mohamed Amine Hmani, Aymen Mtibaa, Mohammed Ahmed Abdelraheem, Alberto Abad, Francisco Teixeira, Driss Matrouf, Marta Gomez-Barrero, Dijana Petrovska-Delacrétaz, Gérard Chollet, Nicholas Evans, ChristophBusch
    November 2019

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