Date of publication: 2017-08-24 22:27
We develop a novel optimization algorithm, which we call nested non-linear conjugate gradient (CG) algorithm (NNCG), for image restoration based on quadratic data fitting and smooth non-quadratic regularization. The algorithm is constructed as a nesting of two conjugate gradient iterations. The outer iteration is constructed as a preconditioned non-linear CG algorithm the preconditioning is perfo. View full abstract 687
This journal presents original research that describes novel pattern analysis techniques as well as industrial and medical applications. It details new technology and methods for pattern recognition and analysis in applied domains, including computer vision and image processing, speech analysis, robotics, multimedia, document analysis, character recognition, knowledge engineering for pattern recognition, fractal analysis, and intelligent control.
A perceptual image fusion method is proposed that employs explicit luminance and contrast masking models. These models are combined to give the perceptual importance of each coefficient produced by the dual-tree complex wavelet transform of each input image. This combined model of perceptual importance is used to select which coefficients are retained and furthermore to determine how to present th. View full abstract 687
International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) is a monthly open access journal that publishes articles which contribute new results in all areas of the Computer Science & Computer Engineering. The journal is devoted to the publication of high quality papers on theoretical and practical aspects of computer science and computer Engineering. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on Computer science & Computer Engineering advancements, and establishing new collaborations in these areas. Original research papers, state-of-the-art reviews are invited for publication in all areas of Computer Science & Computer Engineering.
Electroencephalography (EEG) and magnetoencephalography (MEG) are the most common noninvasive brain-imaging techniques for monitoring electrical brain activity and inferring brain function. The central goal of EEG/MEG analysis is to extract informative brain spatiotemporal?spectral patterns or to infer functional connectivity between different brain areas, which is directly useful for neuroscience. View full abstract 687
The journal encourages the submission of original case-studies on applied pattern recognition which describe important research in the area. The journal also solicits reviews on novel pattern analysis benchmarks, evaluation of pattern analysis tools, and important research activities at international centres of excellence working in pattern analysis.
Following two decades of research focusing on the discrete wavelet transform (DWT) and driven by students high level of questioning, I decided to write this essay on one of the most significant tools for time-frequency signal analysis. As it is widely applicable in a variety of fields, I invite readers to follow this lecture note, which is specially dedicated to show a practical strategy for the. View full abstract 687
One of the most important application areas of signal processing (SP) is, without a doubt, the software-defined radio (SDR) field -. Although their introduction dates back to the 6985s, SDRs are now becoming the dominant technology in radio communications, thanks to the dramatic development of SP-optimized programmable hardware, such as field-programmable gate arrays (FPGAs) and digital sign. View full abstract 687