The contribution of different harmonics to pitch salience in a musical context was examined by requiring subjects to discriminate a small (1/4 semitone) pitch change in one note of a melody that repeated in transposition. In Experiment 1, performance was superior when more harmonics were present (first five vs. fundamental alone) and when the second harmonic (of tones consisting of the first tw...

In this paper we describe a robust method, called PreFEst, for estimating the fundamental frequency (F0) of melody and bass lines in monaural audio signals containing sounds of various instruments. Most previous F0-estimation methods have difficulty dealing with such complex audio signals because they are designed for mixtures of only a few sounds. Without assuming the number of sound sources, ...

Ship noise received by passive sonar is multiple harmonic sources, from which the recognition features of ship can be extracted. Based on the multiple signal classification estimation theory, a joint estimation method of harmonic sources number, harmonic orders and fundamental frequencies is developed in this paper. The observed signal vector is decomposed into multiple harmonics vector and noi...

Here we show how it is possible to make estimates of brain structure based on MEG data. We do this by reconstructing functional estimates onto distorted cortical manifolds parameterised in terms of their spherical harmonics. We demonstrate that both empirical and simulated MEG data give rise to consistent and plausible anatomical estimates. Importantly, the estimation of structure from MEG data...

The study is concerned with a single-parameter adaptive comb filter (ACF), a multi-notch filter with periodically located nulls. The filter is suggested to retrieve a waveform modeled by superposition of harmonics, in particular, periodic non-sinusoidal signal. Using trigonometric constraints between the signal fundamental frequency and over tones results in a non-linear estimation problem. In ...

The accurate estimation of power signal parameters allows smart grids to optimize delivery efficiency, improve equipment utilization, and control flow among generation nodes loads. However, practically it becomes a challenging task because the presence harmonic distortions. In this study, parameter system harmonics is investigated through swarm intelligence–based optimization strength cuckoo se...

The main frequency is an important parameter of an electrical power system. The frequency can change over a small range due to generation-load mismatches. Some power system protection and control applications, e.g., frequency relay for load shedding, load-frequency controller, require accurate and fast estimation of the frequency. Most digital algorithms for measuring frequency have acceptable ...

This paper describes a robust method for estimating the fundamental frequency (F0) of melody and bass lines in monaural realworld musical audio signals containing sounds of various instruments. Most previous F0-estimation methods had great difficulty dealing with such complex audio signals because they were designed to deal with mixtures of only a few sounds. To make it possible to estimate the...

In this paper, we address the topic of monogenic curvature scale-space. Combining methods of tensor algebra, monogenic signal and quadrature filter, the monogenic curvature signal, as a novel model for intrinsically two-dimensional (i2D) structures, is derived in an algebraically extended framework. It is unified with a scale concept by employing damped spherical harmonics as basis functions. T...