2023 7th International Conference on Digital Signal Processing (ICDSP 2023)

ICDSP 2023


Signal Processing



Co-sponsored by: Southwest Jiaotong University



Call for paper

T1: MACHINE LEARNING AND STATISTICAL SIGNAL PROCESSING

-Detection, estimation and classification theory and methods, statistical signal processing

-System identification and modeling, nonlinear systems

-Independent Component Analysis and blind source separation 

-Machine learning and neural networks

-Tensor Signal Processing

......



T2: DIGITAL AND MULTIRATE SIGNAL PROCESSING

-Filter design, analysis and implementation

-Time-frequency analysis and signal representations, including spectrum analysis, harmonic analysis, filter banks and multirate processing, wavelets

-Fast DSP algorithms, transforms and computation

-Sampling, extrapolation, and interpolation

-Graph analysis, Spectral Graph Theory and Algebraic Topology algorithms, Wavelets over graphs

......



T3: DESIGN AND IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS

-Signal processing architectures and VLSI hardware, DSP algorithm implementation and tools

-Hardware security

-Programmable Hardware (e.g. FPGA, SoC, ASIC, etc.) for DSP algorithms

-Multicore Processors for DSP algorithms

......



For more topics, please visit: http://www.icdsp.org/cfp.html



Publication 

All accepted papers will be proposed to be published in the Conference Proceedings, submitted to Ei Compendex and Scopus for index.

    

Submission Methods

1. Full paper (Publication and Presentation)

2. Abstract (Presentation Only)



Please upload full paper or abstract to Submission System: 

https://easychair.org/conferences/?conf=icdsp2023



For more details about submission, please visit: http://www.icdsp.org/sub.html



Conference Schedule

February 17, 2023 | Sign in & Collect conference materials

February 18, 2023 | Keynotes & Plenaries Technical Program

February 19, 2023 | Academic Visit / Excursion



Contacts Us

Ms. Leila Zhou

E-mail: icdsp@chairmen.org

Tel: +86 18081079313 

Wechat: 18081079313 

(Monday to Friday | 10am-5pm, GMT+8)