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In the vector control strategy of induction machines (IMs) fed by inverter, core loss information is critical to accurate determination of rotor magnetic field orientation and dynamic response control. However, methods introduced in IEEE-112 standard to separate the core loss on-line from the total loss are not available. This paper presents a novel real-time core loss determination approach considering...
A method for separating and accurately estimating ADC noise, aperture jitter, and clock jitter is presented for ADC testing and characterization. This significantly relaxes clock jitter requirements and removes the need for high precision test instruments, but still allows ADC specifications like SNR, SNDR and ENOB to be accurately estimated.
This work proposes a technique for predicting the pitch from Mel-frequency cepstral coefficients (MFCC) vectors. Previous pitch prediction methods are based on the statistical models such as Gaussian mixture models and hidden Markov models. In this paper, we propose a three-step method to estimate pitch from MFCC vectors. First the Mel-filterbank energies (MFBEs) are estimated from MFCC vectors. Secondly,...
Worldwide the use of nonlineardevices have increased sharply in recent times. As a result, harmonic pollution has become a vital problem. Harmonic in the power system network interfere with the system equipments, disturbing their normal operation which can deteriorate the quality of the delivered power. In this context, this paper presents an efficient and fast method for estimation of harmonics and...
The harmonic chirp signal model has only very recently been introduced for modelling approximately periodic signals with a time-varying fundamental frequency. A number of estimators for the parameters of this model have already been proposed, but they are either inaccurate, non-robust to noise, or very computationally intensive. In this paper, we propose a fast algorithm for the harmonic chirp summation...
Multi-pitch estimation concerns the problem of estimating the fundamental frequencies (pitches) and amplitudes/phases of multiple superimposed harmonic signals with application in music, speech, vibration analysis, and other fields. In this paper we formulate a complex-valued multi-pitch estimator via a semidefinite programming method for continuous sparse optimization over an infinite dictionary...
Dysarthria is a motor speech impairment, often characterized by speech that is generally indiscernible by human listeners. Assessment of the severity level of dysarthria provides an understanding of the patient's progression in the underlying cause and is essential for planning therapy, as well as improving automatic dysarthric speech recognition. In this paper, we propose a non-linguistic manner...
Signal processing in spherical harmonic domain has the ability to decouple frequency dependent and location dependent components of the signal received. A method for low dimensional spherical harmonic feature extraction is proposed in this work for DOA estimation in noisy and reverberant environments. The features are extracted using frequency smoothing and a transformation which makes them frequency...
This paper presents an experimental study on a novel technique to blindly estimate the directional properties of room reflections using a spherical microphone array. The algorithm is developed based on a spatial correlation model formulated in the spherical harmonics domain. This model expresses the cross correlation matrix of the recorded soundfield coefficients in terms of direct sound and reflections...
In this work, we propose a novel multi-pitch estimation technique that is robust with respect to the inharmonicity commonly occurring in many applications. The method does not require any a priori knowledge of the number of signal sources, the number of harmonics of each source, nor the structure or scope of any possibly occurring inharmonicity. Formulated as a minimum transport distance problem,...
In this paper, a method for multi-pitch estimation of stereophonic mixtures of multiple harmonic signals is presented. The method is based on a signal model which takes the amplitude and delay panning parameters of the sources in a stereophonic mixture into account. Furthermore, the method is based on the extended invariance principle (EXIP), and a codebook of realistic amplitude vectors. For each...
We consider the problem of estimating the power spectral density of the neural covariates underlying the spiking of a neuronal population. We assume the spiking of the neuronal ensemble to be described by Bernoulli statistics. Furthermore, we consider the conditional intensity function to be the logistic map of a second-order stationary process with sparse frequency content. Using the binary spiking...
Graph-based methods for signal processing have shown promise for the analysis of data exhibiting irregular structure, such as those found in social, transportation, and sensor networks. Yet, though these systems are often dynamic, state-of-the-art methods for graph signal processing ignore the time dimension. To address this shortcoming, this paper considers the statistical analysis of time-varying...
Pitch tracking in noisy speech is a challenging task as temporal and spectral patterns of the speech signal are both corrupted. This paper proposes long short-term memory (LSTM) based methods for pitch probability estimation. Two architectures are investigated. The first one is conventional LSTM that utilizes recurrent connections to model pitch dynamics. The second one is two-level time-frequency...
In this paper we present the INESC Key Detection (IKD) system which incorporates a novel method for dynamically biasing key mode estimation using the spatial displacement of beat-synchronous Tonal Interval Vectors (TIVs). We evaluate the performance of the IKD system at finding the global key on three annotated audio datasets and using three key-defining profiles. Results demonstrate the effectiveness...
Robust extraction of performance data from polyphonic musical performances requires precise frame-level estimation of fundamental frequency (ƒ0) and power. This paper evaluates a new score-guided approach to ƒ0 and power estimation in polyphonic audio and compares the use of four different input features: the central bin frequencies of the spectrogram, the instantaneous frequency, and two variants...
Considering the ongoing paradigm shift of large scale solar plants from central inverters to multistring inverters, new associated logistic requirements have highlighted the need to lower the weight of power converters without compromising efficiency and reliability. To meet this need, Silicon carbide based semiconductors are considered an enabling technology as they allow weight reduction in power...
Several pitch estimation algorithms both in time domain as well as frequency domain have been proposed by researchers in last few decades. Among them, Square Difference Function (SDF) is one of the popular time-domain pitch detection algorithms. A modified SDF known as YIN is known to give better results. Each pitch detection algorithm has its limitations and error in pitch detection is observed across...
This paper proposes a signal reforming algorithm based three-phase phase-locked loop (PLL) to estimate the phase angles of an unbalanced and harmonics affected three-phase voltage system. This technique transforms the unbalanced waveforms into a balanced one by first attenuating the harmonic components and then balancing the voltage waveforms so that any conventional synchronous reference frame (SRF)...
This paper presents a design algorithm of a dual rotor axial flux induction motor, constructed from two cage rotors and a toroidal wound stator. The steady state performance of the motor is analyzed using equivalent circuit and time stepping 3D finite elements method (FEM). The results show the correctness of proposed design algorithm and also show the high accuracy of equivalent circuit model for...
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