We describe a fast and accurate indoor localization technique using the multiple signal classification (MUSIC) algorithm. The MUSIC algorithm is known as a high-resolution method for estimating directions of arrival (DOAs) or propagation delays. A critical problem in using the MUSIC algorithm for localization is its computational complexity. Therefore, we devised a novel algorithm called Time S...

Musical onset detection is a key component in any beat tracking system. Existing algorithms for onset detection usually rely on short time Fourier transform (STFT). Of numerous existing methods to detect musical onsets, a common limitation is the genre-specific performance. For example, accurate onset locations are not usually identified for genres such as classical music and opera music. In th...

In this paper, we propose the improvement of music identification algorithm. We use the fingerprinting algorithm. We research the previous music identification algorithm and found two open sources which are the WILLDREVO-dejavu and the Openfp. We compare the WILLDREVO-dejavu with the Openfp and select the open source of better performance to improve it. The comparison result is that the WILLDRE...

This paper presents the performance analysis of direction of arrival estimation algorithm modified MUSIC algorithm. We present the description, comparison and the performance and high resolution analyses of these algorithms. The estimator is based upon a linear algebraic connection between the standard subspace model of the array correlation matrix and a special signal interference model. It is...

This paper presents work on the automatic recognition of measures in common Western music notation scores using optical music recognition techniques. It is important to extract the bounding boxes of measures within a music score to facilitate some methods of multimodal navigation of music catalogues. We present an image processing algorithm that extracts the position of barlines on an input mus...

The traditional MUSIC algorithm needs to know the number of target signal sources in advance, and further determine dimensions subspace noise subspace, finally search for spectral peaks. In engineering, it is impossible predict be measured. To solve above-mentioned problem, an improved without estimating proposed. present algorithm, all eigenvectors covariance matrix are regarded as estimation,...