Mathematical Problems in Engineering

Recent Advancements in Signal Processing and Machine Learning


Publishing date
14 Feb 2014
Status
Published
Submission deadline
27 Sep 2013

Lead Editor
Guest Editors

1College of Information Science and Engineering, Hunan City University, Hunan, China

2Electrical and Electronic Engineering Department, University of Melbourne, Parkville, VIC 3010, Australia

3Department of Electrical and Computer Engineering, Tufts University, Medford, MA 02155, USA


Recent Advancements in Signal Processing and Machine Learning

Description

Much of cutting edge technologies rely on the research on signal processing and machine learning, and a great number of algorithms and devices have been developed with respect to various problems, such as signal denoising, image registration and pattern recognition, texture analysis, surveillance, biometrics, human-machine interface, image/video compression/encryption, and image enhancement.

Some of the rich literature pointed out the relation between signal processing and machine learning. Many signal processing problems and machine learning problems are closely related. For example, wavelet transform proposed for signal processing has been used as a preprocessing for many machine learning applications, and random fields and probabilistic graphic models show good results in image segmentations and recognitions. It is the time to motivate these two interactive areas to work together and pay more attention to each area.

All submitted papers will be rigorously reviewed, and we will select papers based on their originality, timeliness, significance, and relevance to this special issue. Potential topics include, but are not limited to:

  • Audio, speech, and language processing (analysis, understanding, denoising, compression, encryption, classification, recognition, synthesis, etc.)
  • Image, video, and multimedia processing (analysis, segmentation, enhancement, compression, encryption, classification, registration, phasing, recognition, etc.)
  • Pattern recognition and machine learning (feature extraction, statistical learning, manifold learning, subspace learning, visual learning, etc.)
  • Information forensics and security (encryption, watermarking, data hiding, surveillance, etc.)
  • Signal processing and machine learning applications in biological and medical areas (registration, classification, correlation analysis, 3D reconstruction, etc.)
  • Mathematical methods and modeling for signal processing and machine learning (data modeling, statistical methods, probabilistic graphical models, sparse representation, and optimization)
  • Signal processing and machine learning system (circuit design, embedded system, and system optimization)

Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http://www.hindawi.com/journals/mpe/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/mpe/spml/ according to the following timetable:


Articles

  • Special Issue
  • - Volume 2014
  • - Article ID 932695
  • - Research Article

Minimum Error Thresholding Segmentation Algorithm Based on 3D Grayscale Histogram

Jin Liu | Jianhong Zheng | ... | Weidong Jin
  • Special Issue
  • - Volume 2014
  • - Article ID 142482
  • - Research Article

The New Mathematical Model of Motion Compensation for Stepped-Frequency Radar Signal

Yun Lin | Xiaochun Xu | ... | Ruolin Zhou
  • Special Issue
  • - Volume 2014
  • - Article ID 595383
  • - Research Article

A Simple and High Performing Rate Control Initialization Method for H.264 AVC Coding Based on Motion Vector Map and Spatial Complexity at Low Bitrate

Yalin Wu | Sun-Woo Ko
  • Special Issue
  • - Volume 2014
  • - Article ID 862132
  • - Research Article

A Model for Recognizing Key Factors and Applications Thereof to Engineering

Baofeng Shi | Guotai Chi
  • Special Issue
  • - Volume 2013
  • - Article ID 795360
  • - Research Article

Efficient Interaction Recognition through Positive Action Representation

Tao Hu | Xinyan Zhu | ... | Kehua Su
  • Special Issue
  • - Volume 2013
  • - Article ID 659809
  • - Research Article

A Novel Machine Learning Strategy Based on Two-Dimensional Numerical Models in Financial Engineering

Qingzhen Xu
  • Special Issue
  • - Volume 2013
  • - Article ID 143435
  • - Research Article

Human Walking Pattern Recognition Based on KPCA and SVM with Ground Reflex Pressure Signal

Zhaoqin Peng | Chun Cao | ... | Wentao Pan
  • Special Issue
  • - Volume 2013
  • - Article ID 601623
  • - Research Article

Subband Adaptive Filtering with -Norm Constraint for Sparse System Identification

Young-Seok Choi
  • Special Issue
  • - Volume 2013
  • - Article ID 136301
  • - Research Article

Improvement and Simulation of an Autonomous Time Synchronization Algorithm for a Layered Satellite Constellation

Feijiang Huang | Xiaochun Lu | ... | Yingde Wang
  • Special Issue
  • - Volume 2013
  • - Article ID 524017
  • - Research Article

A Heuristic Feature Selection Approach for Text Categorization by Using Chaos Optimization and Genetic Algorithm

Hao Chen | Wen Jiang | ... | Rui Li
Mathematical Problems in Engineering
 Journal metrics
Acceptance rate27%
Submission to final decision64 days
Acceptance to publication34 days
CiteScore1.800
Journal Citation Indicator0.400
Impact Factor1.305
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