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

February 17 - 19 , 2023, Chengdu, China.

Scope & Topics

7^th International Conference on Digital Signal Processing (ICDSP 2023) shall be held from A February 17 - 19 , 2023, Chengdu, China. via hybrid mode. Digital signal processing (DSP) is the process of analyzing and modifying a signal to optimize or improve its efficiency or performance. It involves applying various mathematical and computational algorithms to analog and digital signals to produce a signal that's of higher quality than the original signal. Digital Signal Processing is used everywhere. DSP is used primarily in arenas of audio signal, speech processing, RADAR, seismology, audio, SONAR, voice recognition, and some financial signals. DSP protects users from the noise without hampering communication, offers infinite opportunities for achieving low power efficiency, makes it possible to convert real-world signals into an environment where scientific and mathematical models are applied resulting in a powerful processing system. In view of this, ICDSP Series bring together a wide range of state-of -the-art research works on Digital Signal Processing and also strives to promote excellence in Digital Signal Processing research related to recent challenges. The conference provides a forum for multidisciplinary discussions with the aim of exchanging the research ideas in various aspects of Digital Signal Processing to foster further integration and collaboration among researchers.

Topics of Interest :

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
• Optimization
• Theory of sparse representations and compressed-sensing
• Bayesian learning; Particle filters; Information-theoretic learning
• Graphical and kernel methods
• Manifold learning, applications of Differential Geometry and adaptive signal processing on Manifolds
• Social networks, Social Learning models and Game Theoretic analysis
• Pattern recognition and classification
• Big Data Methods and Applications
• Deep Learning
• Adaptive systems and adaptive filtering
  
  
  DIGITAL AND MULTIRATE SIGNAL PROCESSING
  
  
• Filter design, analysis and implementation
• Time-frequency analysis and signal representations
• Fast DSP algorithms, transforms and computation
• including spectrum analysis
• harmonic analysis
• filter banks and multirate processing
• Sampling, extrapolation, and interpolation
• Sparse signal representations and recovery - algorithms and applications
  
  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
• Data Science
  
  SPEECH AND LANGUAGE PROCESSING
  
  
• Speech and speaker recognition
• Speech coding, synthesis and analysis
• Speaker/Language identification and diarization
• Spoken language processing

  Paper Submission

  Submit your contributions to Electronic Submission System; ( .pdf only).
  
  Note: If you are interested in special sessions, after submission via system, please mail this to icdsp@chairmen.org.

  Important Dates

  Submission Deadline	:	December 10, 2022
  Authors Notification	:	December 30, 2022
  Final Manuscript Due	:	January 05, 2023