A New Reduced-Interference Source Separation Method Based on a Complementary Combination of Masking Algorithm and Mixing Matrix Estimation

Rafiei, Sayyed Ali; Sheikhzadeh, Hamid; Sabbaqi, Mohammad

doi:10.1007/s40998-020-00326-4

Cited by 3 publications

(4 citation statements)

References 42 publications

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“…The mixtures can be considered as mathematical entanglement of each source. The way they are mathematically entangled is classified into instantaneous, anechoic, and convolutive [24].…”

Section: Single-channel Source Separation Problemmentioning

confidence: 99%

Sampled and discretized of short-time Fourier transform and non-negative matrix factorization: the single-channel source separation case

Hendry

Rifai

Mileniandi

2020

J. Teknol. dan Sist. Komput

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The Short-time Fourier transform (STFT) is a popular time-frequency representation in many source separation problems. In this work, the sampled and discretized version of Discrete Gabor Transform (DGT) is proposed to replace STFT within the single-channel source separation problem of the Non-negative Matrix Factorization (NMF) framework. The result shows that NMF-DGT is better than NMF-STFT according to Signal-to-Interference Ratio (SIR), Signal-to-Artifact Ratio (SAR), and Signal-to-Distortion Ratio (SDR). In the supervised scheme, NMF-DGT has a SIR of 18.60 dB compared to 16.24 dB in NMF-STFT, SAR of 13.77 dB to 13.69 dB, and SDR of 12.45 dB to 11.16 dB. In the unsupervised scheme, NMF-DGT has a SIR of 0.40 dB compared to 0.27 dB by NMF-STFT, SAR of -10.21 dB to -10.36 dB, and SDR of -15.01 dB to -15.23 dB.

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“…The mixtures can be considered as mathematical entanglement of each source. The way they are mathematically entangled is classified into instantaneous, anechoic, and convolutive [24].…”

Section: Single-channel Source Separation Problemmentioning

confidence: 99%

Sampled and discretized of short-time Fourier transform and non-negative matrix factorization: the single-channel source separation case

Hendry

Rifai

Mileniandi

2020

J. Teknol. dan Sist. Komput

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“…Different methods in the literature were proposed to estimate the angle of unresolved targets in radar cells: Beamforming, STAP, subspace rejection [3, 8], source separation [9], MIMO radar [10, 11], and as well as two polarisation radars [12]. However, these methods require further equipment and various types of signal transmissions for monopulse radars, and their application is limited [13].…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Closed‐form angle estimation of unresolved targets in monopulse radar to counter the angular electronic attack

Rezaei

Sebt

Zarei

et al. 2023

IET Signal Processing

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Typical monopulse radar cannot detect the angle of two closely‐spaced targets in one resolution cell. The authors propose a closed‐form technique to estimate the angle of two unresolved targets by using a single snapshot of four radar receiver channels. In this work, phase comparison and amplitude comparison problems for monopulse radar are resolved. The monopulse radar angle estimation system has been enhanced using the diagonal difference channel. Using a single pulse, this technique can accurately determine the angle and amplitude of the deceptive decoy and the real target. If both targets have the same direction, the proposed scheme cannot detect them; therefore, to estimate the angle of such targets, we used an additional antenna. The effectiveness of the proposed method is validated by comparing the exact solutions and simulations.

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“…Fractional order control is nowadays one of the emerging research topics gathering a growing number of works [3,4]. The main reason is that fractional order systems allow more powerful control performances and robustness compared to classical integer order ones [5,6].…”

Section: Introductionmentioning

confidence: 99%

Impact of fractional filter in PI control loop applied to induction motor speed drive

Hassainia

Ladaci

Kechida

et al. 2022

Electrical Engineering & Electromechanics

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Introduction. One of the main problems of electrical machine control systems is to obtain a satisfactory performance in the rejection of load disturbances, as well as in the set-point tracking tasks. Generally, the development of control algorithms does not take into account the presence of noise. Appropriate filtering is, therefore, essential to reduce the impact of noise on the output of the controller, in addition to the machine output. Recently, there has been a great tendency toward using fractional calculus to solve engineering problems. The filtering is one of the fields in which fractional calculus has received great attention. The importance of filters in signal processing and other engineering areas is unquestionable Novelty. The proposed work is intended to be a contribution in the recent works conducted on the influence of the fractional filtering on the control robustness of induction machines control. Purpose. The main contribution of this research is the application of fractional filtering to the standard PI control loop for an induction motor speed drive. Methods. In order to assess its impact and benefit, different structures for introducing the filters are investigated, A first order filter is considered in different positions, whether before or after the controller or even in both positions at the same time, with a noise source. A review of the index performance evolution (the Integral Square Error, Integral Absolute Error and Integral Time Absolute Error) has allowed a configuration design of the filter. Results. Intensive simulations were performed with a control setup using integer and fractional order filters, which permitted to conclude that the fractional filters give better performance indices compared to the integer one and thus improve the dynamic characteristics of the system.

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A New Reduced-Interference Source Separation Method Based on a Complementary Combination of Masking Algorithm and Mixing Matrix Estimation

Cited by 3 publications

References 42 publications

Sampled and discretized of short-time Fourier transform and non-negative matrix factorization: the single-channel source separation case

Sampled and discretized of short-time Fourier transform and non-negative matrix factorization: the single-channel source separation case

Closed‐form angle estimation of unresolved targets in monopulse radar to counter the angular electronic attack

Impact of fractional filter in PI control loop applied to induction motor speed drive

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