Abstract: This paper presents a new harmonics frequency estimation method. Unlike the conventional harmonic frequency estimation method (fast Fourier transform), the new algorithm is based on spectrum analysis techniques often used to estimate the direction of angle; the most popular is the multiple signal classification (MUSIC) algorithm. The drawbacks of MUSIC algorithm are concluded. Improve...

In the research on content-based music retrieval, the fixed length of window is generally used to extract the features of melody. It has separated one fragment of music melody into multiple shorter window data. This will lose the whole feature of music melody and cause lower accuracy of retrieval. Therefore, current content-based music retrieval algorithms are discussed in detail and the emphas...

A real-valued (unitary) formulation of the popular root-MUSIC direction-of-arrival (DOA) estimation technique is considered. This Unitary root-MUSIC algorithm reduces the computational complexity in the eigenanalysis stage of root-MUSIC because it exploits the eigendecomposition of a real-valued covariance matrix. The asymptotic performance of Unitary root-MUSIC is analyzed and compared with th...

In this paper, a novel direction of arrival (DOA) estimation algorithm called the Toeplitz fourth order cumulants multiple signal classification method (TFOC-MUSIC) algorithm is proposed through combining a fast MUSIC-like algorithm termed the modified fourth order cumulants MUSIC (MFOC-MUSIC) algorithm and Toeplitz approximation. In the proposed algorithm, the redundant information in the cumu...

Computer music analysis is investigated, with speciic reference to the current research elds of automatic music transcription, human music perception, pitch determination, note and stream segmentation, score generation, time-frequency analysis techniques, and musical grammars. Human music perception is investigated from two perspectives: the computational model perspective desires an algorithm ...

We present a novel method for blind separation of instruments in polyphonic music based on a non-negative matrix factor 2-D deconvolution algorithm. Using a model which is convolutive in both time and frequency we factorize a spectrogram representation of music into components corresponding to individual instruments. Based on this factorization we separate the instruments using spectrogram mask...

Driven by the increasing amount of music available electronically the need of automatic search and retrieval systems for music becomes more and more important. In this paper an algorithm for automatic transcription of polyphonic piano music into MIDI data is presented, which is a very interesting basis for database applications and music analysis. The first part of the algorithm performs a note...

The goal of this project was to design an image processing algorithm that scans in sheet music and plays the music described on the page. Our algorithm takes a digital image of sheet music and segments it by line. For each line, it detects the note types and locations, and computes the frequency and duration. These frequency and duration pairs are stored in a matrix and fed into the audio synth...

93 266 396 (Indeoendent of range grid) Table 2 lists the number of floating-point operations required to set the initial points for the local search with respect to the number of grids in the range using MATLAB hnction ’flops’. The Quasi-Newton method was used to find the peaks of the 2-D MUSIC spectrum required to initialise the proposed algorithm. For both the 2-D MUSIC and 3-D MUSIC, the gri...

Sparse linear arrays provide better performance than the filled linear arrays in terms of angle estimation and resolution with reduced size and low cost. However, they are subject to manifold ambiguity. In this paper, both the transmit array and receive array are sparse linear arrays in the bistatic MIMO radar. Firstly, we present an ESPRIT-MUSIC method in which ESPRIT algorithm is used to obta...