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 549024
  • - Editorial

Recent Advancements in Signal Processing and Machine Learning

Gelan Yang | Su-Qun Cao | Yue Wu
  • Special Issue
  • - Volume 2014
  • - Article ID 585139
  • - Research Article

Strategies for Exploiting Independent Cloud Implementations of Biometric Experts in Multibiometric Scenarios

P. Peer | Ž. Emeršič | ... | V. Štruc
  • Special Issue
  • - Volume 2014
  • - Article ID 548791
  • - Research Article

A Joint Learning Approach to Face Detection in Wavelet Compressed Domain

Szu-Hao Huang | Shang-Hong Lai
  • Special Issue
  • - Volume 2014
  • - Article ID 512398
  • - Research Article

Lower Power Design for UHF RF CMOS Circuits Based on the Power Consumption Acuity

Niu Xiang-jie | Li Hua
  • Special Issue
  • - Volume 2014
  • - Article ID 632060
  • - Research Article

Image Encryption Using the Chaotic Josephus Matrix

Gelan Yang | Huixia Jin | Na Bai
  • Special Issue
  • - Volume 2014
  • - Article ID 250160
  • - Research Article

Language Recognition Using Latent Dynamic Conditional Random Field Model with Phonological Features

Sirinoot Boonsuk | Atiwong Suchato | ... | Nattanun Thatphithakkul
  • Special Issue
  • - Volume 2014
  • - Article ID 317979
  • - Research Article

Efficient LED-SAC Sparse Estimator Using Fast Sequential Adaptive Coordinate-Wise Optimization (LED-2SAC)

T. Yousefi Rezaii | S. Beheshti | M. A. Tinati
  • Special Issue
  • - Volume 2014
  • - Article ID 484320
  • - Research Article

Human Skeleton Model Based Dynamic Features for Walking Speed Invariant Gait Recognition

Jure Kovač | Peter Peer
  • Special Issue
  • - Volume 2014
  • - Article ID 491239
  • - Research Article

Penalized Maximum Likelihood Algorithm for Positron Emission Tomography by Using Anisotropic Median-Diffusion

Qian He | Lihong Huang
  • Special Issue
  • - Volume 2014
  • - Article ID 760123
  • - Research Article

Linear Chromatic Adaptation Transform Based on Delaunay Triangulation

Rok Kreslin | Pilar M. Calvo | ... | Peter Peer
Mathematical Problems in Engineering
 Journal metrics
Acceptance rate28%
Submission to final decision76 days
Acceptance to publication38 days
CiteScore1.130
Impact Factor1.179
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