advantage of array antenna structures to better process the incoming signals. They also have the ability to identify multiple targets. This paper explores the eigen-analysis category of super resolution algorithm. A class of Multiple Signal Classification (MUSIC) algorithms known as a root-MUSIC algorithm is presented in this paper. The root-MUSIC method is based on the eigenvectors of the sens...

We have recently presented CarpeDiem, an algorithm that can be used for speeding up the evaluation of Supervised Sequential Learning (SSL) classifiers. CarpeDiem provides impressive time performance gain over the state-of-art Viterbi algorithm when applied to the tonal harmony analysis task. Along with interesting computational features, the algorithm reveals some properties that are of some in...

Analysis of post-tonal music by pitch-class set theory is one of the most significant areas in music research, among which most work focuses on analyzing and comparing a limited number of music compositions. Comparative study across numerous compositions is difficult because the identification of possible music patterns occurred in compositions an important aspect of pitch-class set theory is h...

Hand in hand with deep learning advancements, algorithms of music composition increase in performance. However, most of the successful models are designed for specific musical structures. Here, we present BachProp, an algorithmic composer that can generate music scores in any style given sufficient training data. To adapt BachProp to a broad range of musical styles, we propose a novel normalize...

Inverse synthetic aperture radar (ISAR) images represent the two-dimensional (2-D) spatial distribution of the radar crosssection (RCS) of an object and, thus, they can be applied to the problem of target identification. The traditional approach to ISAR imaging is the range-Doppler algorithm based on the 2-D Fourier transform. However, the 2-D Fourier transform often results in poor resolution ...

Music emotion recognition is increasingly becoming important in scientific research and practical applications. Due to the differences musical characteristics between Western Chinese classical music, it necessary investigate distinctions music emotional feature sets improve accuracy of cross-cultural models. Therefore, a comparative study on was conducted. Using V-A model as an perception model...

This MIREX submission for symbolic music similarity task adopts textual information retrieval methodology in the process of music information retrieval. The main contribution of this approach is to utilize well established term weighting methods for text retrieval and check their suitability for music data. We use a simple feature extraction method, so that the performance of an algorithm depen...

This article describes the development of an application for generating tonal melodies. The goal of the project is to ascertain our current understanding of tonal music by means of algorithmic music generation. The method followed consists of four stages: 1) selection of music-theoretical insights, 2) translation of these insights into a set of principles, 3) conversion of the principles into a...

A musical piece typically has a repetitive structure. Analysis of this structure will be useful for indexing the digital music repository, segmenting music at transitions, and summarizing the thumbnails of music, all of which can be used in building efficient music retrieval and recommendation systems. This paper presents an algorithm that can automatically analyze the repetitive structure of m...

Although the music information retrieval is already well described topic it still remains as a research subject of many scientists. Recently popular MP3 search engines are currently replaced with more advanced music information retrieval systems, that provide new ways of creating queries by user – like query by humming or query by singing. The files returned as a result system response are orde...