Joint DOA and Polarization Estimation for Unequal Power Sources by Qingyuan Fang, Yong Han, Ming Jin, Wenyi Dong

“…In addition, the performances of the proposed method are provided, as well the Cramer Rao Bound (CRB), which show approximate performance as the polarimetric MUSIC algorithm.…”
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Improved CPD based DOA estimation of nested array by Sibei CHENG, Xiao LUO, Bochou JIANG, Yuting WANG, Huanyu WU

“…In order to avoid searching the peak value in space domain, when estimating nested array’s the direction of direction of arrival(DOA), the canonical polyadic decomposition(CPD) was applied into the nested array, namely using the one time singular value decomposition(SVD), bilinear mapping and tensor decomposition to obtain the steering vector matrix and arrival angle.However, the existing CPD algorithm only can be applied in noiseless environment, the algorithm was improved by utilizing SVD two times, and was made to be applied in both noiseless and noisy environments.The simulation results demonstrate that in the same signal to noise ratio(SNR) and snapshot, the DOA estimation algorithm of nested array based on the improved CPD has better performances and less running time than the MUSIC and space smoothing algorithms.…”
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Comparing Two Approaches for Point-Like Scatterer Detection by Angela Dell’Aversano, Giovanni Leone, Raffaele Solimene

“…Accordingly, in this paper we compare the time reversal-MUSIC and the compressed sensing. The study develops through numerical examples and focuses on the role of noise in data and mutual coupling between the scatterers.…”
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Gothic Sounds and the Foreshadowing of Victorian Soundscapes by Lucie Ratail

“…Pre-Victorian Britain, as a transitory period from the Enlightenment to the Age of Industrialisation, witnessed shifts in understandings of ‘noise’, ‘sound’ and ‘music’ and growing interest in acoustics and other sound studies. …”
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Who is WithMe? EEG features for attention in a visual task, with auditory and rhythmic support by Renata Turkeš, Steven Mortier, Jorg De Winne, Jorg De Winne, Dick Botteldooren, Paul Devos, Steven Latré, Tim Verdonck

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Audio technology for improving social interaction in extended reality by Joanna Luberadzka, Enric Gusó Muñoz, Enric Gusó Muñoz, Umut Sayin, Adan Garriga

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Impact of different auditory environments on task performance and EEG activity by Zhen Xue, Wenxiao Zhong, Yong Cao, Shuang Liu, Xingwei An

“…This study examined the effects of three different environments—quiet, music, and white noise—on task performance and EEG activities. …”
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A Generalized Bandsplit Neural Network for Cinematic Audio Source Separation by Karn N. Watcharasupat, Chih-Wei Wu, Yiwei Ding, Iroro Orife, Aaron J. Hipple, Phillip A. Williams, Scott Kramer, Alexander Lerch, William Wolcott

“…A loss function motivated by the signal-to-noise ratio and the sparsity-promoting property of the 1-norm was proposed. …”
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Application of Perceptual Filtering Models to Noisy Speech Signals Enhancement by Novlene Zoghlami, Zied Lachiri

“…The perceptual filtering gives a number of subbands that are individually spectral weighted and modified according to two different noise suppression rules. The importance of an accurate noise estimate is related to the reduction of the musical noise artifacts in the processed speech that appears after classic subtractive process. …”
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Combined wideband speech enhancement method based on statistical model and EMD by Xuan ZHOU, Chang-chun BAO, Bing-yin XIA

“…A combined wideband speech enhancement method based on statistical model and empirical mode decomposition (EMD) was proposed.First,statistical model was used to eliminate the main noise component in noisy speech.Then,the residual noise was further suppressed by a post-processing module which is a speech enhancement algorithm with voice activity detection (VAD) based on EMD.The advantages of the two methods were combined effectively.The performance of the proposed method was evaluated under the standard of ITU-T G160.The experimental results indicate that the algorithm is more effective for improving the SNR in the different noise environments than classical statistical model approach.Meanwhile,in low SNR conditions,musical noise is reduced effectively,and the speech sounds more comfortable.…”
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Improved speech enhancement based on spectral subtraction and auditory masking effect by ZHAO Xiao-qun, HUANG Xiao-shan

“…Taking into account the masking properties of human auditory system and the uncertainty of the speech pres-ence,the novel algorithm modifies the log-spectral amplitude estimation and the speech absence probability（SAP） pa-rameter.Then,the smoothing parameters in noise estimation and prior SNR estimation are adaptively adjusted to modi-fied SAP parameter which reflects the degree of stationary of the measured signal.The change of smoothing parameters allows for automatic adaptation with various noisy environments and obtains the best trade-off.Experimental results demonstrate that the proposed algorithm has better performance of speech articulation without any perceptional musical-ity,compared to another modified spectral subtraction algorithms under the same level of noise reduction,and this supe-riority is more significant at very low SNR.…”
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