This paper presents adaptive edge detector using a novel directional wavelet transform. The proposed algorithm has two stages: a) directional wavelet transform and b) edge detection on space–scale– directional plane with maximum entropy measure. Preliminary results with synthetic images show that directional wavelet transforms gives excellent results. The proposed method was tested on synthetic...

BACKGROUND Data from RNA-seq experiments provide a wealth of information about the transcriptome of an organism. However, the analysis of such data is very demanding. In this study, we aimed to establish robust analysis procedures that can be used in clinical practice. METHODS We studied RNA-seq data from triple-negative breast cancer patients. Specifically, we investigated the subsampling of...

To advance research on automatic music transcription (AMT), it is important to have labeled datasets with sufficient diversity and complexity that support the creation and evaluation of robust algorithms to deal with issues seen in real-world polyphonic music signals. In this paper, we propose new datasets and investigate signal processing algorithms for multipitch estimation (MPE) in choral an...

In this article, we review the literature on recursive algorithms for reconstructing a time sequence of sparse signals from a greatly reduced number of linear projection measurements. The signals are sparse in some transform domain referred to as the sparsity basis, and their sparsity pattern (support set of the sparsity basis coefficients’ vector) can change with time. We also summarize the th...

Two LSIs for real-time video signal processing have been developed; One a videosignal processing LSI (called the Picot) which can process dynamic images (time-varying images) at video rate (14.3MHz); and the other a network LSI (called the Picot-net) which connects a number of Picots and makes possible multi-processing. The Picot and the Picot-net have an architecture suitable for image signal ...

The analysis of optokinetic nystagmus (OKN) provides valuable information about the condition of human vision system. One of the phenomena that is used in the medical diagnosis is optokinetic nystagmus. Nystagmus are voluntary or involuntarily eye movements being a response to a stimuli which activate the optokinetic systems. The electronystagmography (ENG) signal corresponding to the nystagmus...

Artificial Intelligence (AI) has broadly connected the medical field at various levels of diagnosis based on congruous data generated. Different types bio-signal can be used to monitor a patient’s condition and in decision making. Medical equipment uses signals communicate information care staff. AI algorithms approaches will help predict health problems check status organs, while prediction, c...

Signal detection theory (SDT) parameters can describe a learner's ability to discriminate (d') normal from abnormal and the learner's criterion (λ) to under or overcall abnormalities. To examine the serial changes in SDT parameters with serial exposure to radiological cases. 46 participants were recruited for this study: 20 medical students (MED), 6 residents (RES), 12 fellows (FEL), 5 staff pe...

potential field methods such as gravity and magnetic methods are among the most applied geophysical methods in mineral exploration. a high-resolution technique is developed to image geologic boundaries such as contacts and faults. potential field derivatives are the basis of many interpretation techniques. in boundary detection, the analytic signal quantity is defined by combining the val...

Potential field methods such as gravity and magnetic methods are among the most applied geophysical methods in mineral exploration. A high-resolution technique is developed to image geologic boundaries such as contacts and faults. Potential field derivatives are the basis of many interpretation techniques. In boundary detection, the analytic signal quantity is d...