Call for papers

Please download the CFP flyer here (Click here)

WSPML solicits original, unpublished and novel papers for research publication and presentation in research track, and industry/application papers in application track. Articles in all areas of Signal Processing and Machine Learning are of interest, including the following:

Adaptive Filtering & Signal Processing 

Ad-Hoc and Sensor Networks

Analog and Mixed Signal Processing

Applications (biomedical signals, biometrix, bioinformatics)

Multichannel Adaptive Signal Processing

Array Signal Processing

Artificial Neural Network (ANN)

Modulation and Channel Coding

Audio and Electroacoustics 

Natural Language Processing

Mining Motion from Sequence

Audio/Speech Processing and Coding

Bayesian and Distributed Learning

Bioimaging and Signal Processing 

Mining Images in Computer Vision

Biometrics & Authentification

Biosignal Processing & Understanding

Multimedia Signal Processing 

Classification and Pattern Recognition

Multimedia & Human-computer Interaction

Classification Techniques

Cognitive Information Processing

Communication and Broadband Networks

Communication Signal Processing

Multiset Data Analysis

Computational Intelligence

Computer Vision & Virtual Reality

Cryptography and Network Security

Data-driven Adaptive Systems

Data-driven Models

Design and Implementation of Signal Processing Systems 

Multimedia Communications

Digital Signal Processing 

DSP Implementations and Embedded Systems 

Multimodal Data Fusion

Emerging Technologies 

Extreme Learning Machine (ELM)

Feature Extractions

Genomic signals and  sequences

Graphical models and kernel methods

Hardware Implementation for Signal Processing

Higher Order Spectral Analysis

Image and Multidimensional Signal Processing 

Image Processing & Understanding

Image/Video Processing and Coding

Industry Technology 

Internet Signal Processing

Kernel Design

Kernel Methods and Graphical Models

Learning and Adaptive Control

Learning for Handwriting Recognition

Learning in Image Pre-Processing and Segmentation

Learning in Process Automation

Learning of Action Patterns

Learning of Appropriate Behavior

Learning Robots

Learning Theory

Learning/Adaption of Recognition and Perception

Least-squares SVM (LS-SVM)

Machine Learning for Signal Processing

Machine Learning Methods

Mining Images and Texture

Network Analysis and Intrusion Detection

Neural Methods

Neural Networks

Next Generation Mobile Communications

Nonlinear Signal Processing

Optical Communications

Parallel and Distributed Processing

PDE for Image Processing

Perceptual Signal Processing

Radar Signal Processing 

Rapid Prototyping and Tools for DSP Design 

RF and Wireless Communications

Sensor Array and Multi-channel Processing

Signal Processing and Communications Education

Signal Processing for Communications

Signal Processing for Security

Signal Processing Theory and Methods

Smart Grid, Games, Social Networks

Sparsity-aware Learning

Subspace/Manifold Learning

Support Vector Machines (SVM)


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