High resolution direction-of-arrival (DOA) estimation is important in many applications and over the years many techniques have been proposed. The signal subspace method (MUSIC) [1] has been the most popular and is known to yield asymptotically unbiased and efficient estimates. The MUSIC algorithm estimates the signal subspace from the array measurements and then estimates the parameters of int...

Implementing music education performance management is an effective way to enhance the comprehensive quality education for universities, and music education performance evaluating for universities is one of the difficulties and hot research fields for the researchers related. The paper presents a new model for evaluating music education performance based on improved BP neural network. First an ...

We present a new subspace-based direction of arrival (DOA) estimation algorithm for narrow-band sources with high-resolution localization capabilities. The algorithm is based on the invariance property of noise subspace to power of emitters. We speci2cally compare the resolution of the proposed algorithm with the well-known high-resolution multiple signal classi2cation (MUSIC) method. The propo...

In this paper we propose a new algorithm to estimate the direction of arrivals (DOAs) of superimposed cisoidal radar echos from far-field targets. A potential practical application of this algorithm is high frequency ocean surveillance radar (HFOSR) detection of slow moving targets embedded in temporally correlated sea clutter that has a continuous spatial spectrum. The improvement provided by ...

The Music Instrument Identification research is an important and difficult problem in Music Information Retrieval (MIR). In this paper an algorithm based on flexible harmonic model is proposed to represent the pitch in music by Gaussian mixture structure. The proposed algorithm models each spectral envelope of underlying harmonic structure to approximate the real music and uses EM algorithm to ...

The music pattern matching problem involves finding matches of a small fragment of music called the “pattern” into a larger body of music called the “score”. We represent music as a series of horizontal line segments in the plane, and reformulate the problem as finding the best translation of a small set of horizontal line segments into a larger set of horizontal line segments. We present an ef...

The learning process of an adaptive optical music recognition system (AOMR) is described here. By combining k-nearest neighbor classifier and genetic algorithm, the system can learn to recognize new music symbols and handwritten music notations, and it also continually improves the accuracy in recognizing these objects. Given the wide range of music notation styles, these are essential characte...

Abstract: Many modulated communication signals exhibit a cyclostationarity property. Cyclic-MUSIC algorithm uses the property to improve the detection capability and estimation accuracy over conventional MUSIC algorithm in DOA estimation. Based on cyclic-MUSIC, SC-SSF algorithm extends application bound from narrow-band signals to wideband signals, where a kind of pseudodata matrix is construct...

Super-resolution algorithms used in radar imaging, e.g., MUltiple SIgnal Classification (MUSIC), can help us to get much higher resolution image beyond what is limited by the signal’s bandwidth. We focus on MUSIC imaging algorithm in the paper and investigate the uniqueness and effectiveness conditions of the MUSIC algorithm when used in 1-D radar range imaging. Unlike conventional radar resolu...

Chord sequences and chord boundary is the midlevel performance of the music signal compactness and robustness. Automatic chord recognition is very attractive to researchers in the field of music information retrieval. To improve accuracy of musical chord recognition algorithm, in this study, the importance of keynote was fully considered. According to the music theory, 24 keynotes were defined....