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The loudspeaker array plays a key role in an active noise cancellation (ANC) system. In most in car ANC systems, the car's pre-installed multimedia loudspeakers are employed as the secondary sources of the ANC system. In this paper, we evaluate the in-car loudspeaker system's capability in multi-zone noise field cancellation by analyzing the simultaneous noise field at multiple control regions inside...
The vocal separation is to separate vocal part and remove the accompaniment part from the mixed music data. Vocal part include many information, singer, lyric and emotion of the song. If we can extraction only the vocal part from the original sound from CD source, it can be applied to various applications. In this paper, we propose a new method to take out the natural vocal parts from mixed music...
In this paper we propose a method for joint estimation of depth, reflectance and illumination from a single RGB-D image for depth refinement. This is achieved by a simple optimization based approach with smoothness constraints on depth, reflectance and illumination. We introduce an adaptively weighted local similarity constraint for reflectance, a normalized spherical-harmonic model for illumination,...
Numerical aspects of least squares estimation have not been sufficiently studied in the literature. In particular, information matrix has a large condition number for systems with harmonic regressor in the initial steps of RLS (Recursive Least Squares) estimation. A large condition number indicates invertibility problems and necessitates the development of new algorithms with improved accuracy of...
Automatic Music Information Retrieval has been one of the challenging topics of research for a few decades now, with several interesting approaches reported in the literature. In this paper we have developed a pitch extraction method based on a finite Fourier series approximation to the given window of samples of a music signal. We then estimate pitch as the fundamental period of the finite Fourier...
This paper improves K-dominated sorting by M2M population decomposition [14] to enhance the population convergence and diversity, and propose a new evolutionary many objective optimization algorithm based on the improved Kdominated sorting. The proposed K-dominated sorting can maintain the population diversity by M2M population decomposition. What's more, we prove that the improved K-dominance can...
The Bivariate Empirical Mode Decomposition (BEMD) is an extension of Empirical Mode Decomposition (EMD) algorithm. In its classical formulation, the EMD can only be applied to real-valued time series. In this paper, the BEMD algorithm is proposed as an alternative to estimate the glottal source from the speech signal. The bivariate empirical mode decomposition decomposes the complex log spectrum into...
In this paper, we show a design of a novel low-cost and broadband active load-pull system based on the NVNA equipped with two internal signal sources. An active tuning algorithm based on least squares method was implemented and tested as a part of the hybrid load-pull system. Exemplary measurements were taken and results are as expected.
3D lighting environment is an important clue in an image that can be used for image forgery detection. Existing forensic methods exploring lighting environment consistency are based on many assumptions, among which convexity and constant reflectance of the surface are two critical ones. In this paper, we propose an improved 3D lighting environment estimation method based on a more general surface...
This paper demonstrates the use of compressive sensing methods for locating sources of harmonic distortion in power networks. It is shown that the number of sensors required to locate a source of harmonic distortion is typically small, and proportional to the number of suspicious sources. Simulations show that any 2 sources of harmonic distortion can be located using 6 sensors in a 50 bus power system.
This paper deals with a three phase multifunctional grid connected SECS (Solar Energy Conversion system). A two stage topology is used in this work, in which the first stage is a boost converter, which serves the purpose of MPPT (Maximum Power Point Tracking) and the second stage is a 4-leg VSC (Voltage Source Converter) which serves the purpose of feeding extracted energy along with power quality...
This paper proposes a novel phase-locked loop (PLL) for grid synchronization based on the moving average filter (MAF) and the weighted least squares estimation (WLSE) scheme, namely WLSE-PLL. The MAF can eliminate all the odd-order harmonics and the fundamental negative-sequence component. The WLSE is employed to estimate the fundamental positive-sequence component (FPS). Combining the zero crossing...
Wind power plant is source of harmonics and inter-harmonics. Estimation of these harmonics is very important and crucial task in modern distribution generation environment. This paper presents sliding window matrix pencil algorithm to estimate harmonics and inter harmonics produced by doubly fed induction generator based wind power plant. The series of simulation results under variable wind speed...
Heart rate (HR) estimation using wrist-type Photoplethysmography (PPG) sensor can play an important role to monitor the physiological status of human body during physical exercise. However, the PPG signal is vulnerable to motion artifact (MA) which makes HR estimation difficult. In fact, the MA generates a number of false peaks in the frequency spectrum of the PPG signal. In this work, we analyze...
nowadays, most of the power electronic loads or nonlinear loads like as computers in offices, electronic lighting ballasts in hospitals or universities, faxes, photocopier machines, advanced electric drive systems, etc. represent the main sources of harmonics which produce a huge negative effect on the overall electric system, and this leads to increase the losses more and more. Each type of previous...
In this paper, we propose a fundamental frequency (F0) estimation algorithm for noisy speech based on exploring the local time-frequency (TF) segment. Our algorithm is motivated by the fact that the full band speech signal is redundant for pitch perception. We assume that in the same time region, the TF segment least affected by noise interference is more reliable for F0 estimation than the full band...
This paper presents a study on frame-level multi-pitch estimation (MPE) for polyphonic piano music based on sparse representation approach. In this approach, a multi-pitch input spectrum is represented by a sparse linear combination of a large number of spectrum exemplars in a given dictionary. By estimating the sparse weight vector and identifying its non-zero elements, a set of possible pitch candidates...
A sound field recording and reproduction method for spherical arrays that takes into account prior information on the locations of sound sources to be reproduced, i.e., primary sources, is proposed. Current methods using spherical arrays of microphones and loudspeakers, such as higher order ambisonics (HOA), are based on sound field analysis and synthesis in a spherical harmonic domain. However, the...
This paper proposes Volterra RLS (VRLS) adaptive filter for estimation of harmonic parameters and decaying DC component in presence of white Gaussian noise. VRLS shows good error convergence rate under high non-stationary and noisy conditions which is quite essential to estimate power quality disturbances. VRLS algorithm is an extension of Forgetting factor RLS (FFRLS) with the help of Volterra expansion...
Epochs are the locations correspond to glottal closure instants for voiced speech segments and onset of bursts or frication in unvoiced segments. In the recent years, the zero frequency filtering (ZFF) based epoch estimation has received a growing attention for clean or studio speech signals. The ZFF based epoch estimation exploits the impulse like excitation characteristics at the zero frequency...
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