Depression has become a major threat to human health, and researchers around the world are actively engaged in research on depression. In order promote closer research, study of global depression knowledge map is significant. This aims show current distribution, hotspots, frontiers, trends field providing with worthwhile information ideas. Based Web Science core collection from 2004 2019, this systematically analyzed country, journal, category, author, institution, cited article, keyword...

Time difference of arrival (TDOA) estimation, which often serves as the fundamental step for a source localization or beamforming system, has significant practical importance in wide spectrum applications. To deal with reverberation, TDOA estimation problem is transformed into one identifying relative acoustic impulse responses. This letter presents method to efficiently identify response between two microphones based on so-called Kronecker product decomposition. By decomposing series...

To further investigate the impact of layered deposition process on magnetic properties sintered Nd-Fe-B magnets, multicomponent Tb-Cu films with different sequences were designed through magnetron sputtering system. We first examined effects heat treatment, pure Cu and Tb diffusion original magnets. For diffused we found that amount was an important factor in studying mechanism during grain boundary process. The moderation could significantly increase depth due to reduction enrichment near...

In this letter, we propose a new method that is based on the frequency-domain finite element and artificial intelligence (FDFEM-AI) to invert electron density in lower ionosphere. The highly efficient FDFEM reported build dataset for training testing neural network. Elman network (ENN) improved by optimizing connection weights, thresholds, number. ENN employed map relationship between amplitude/phase of VLF wave Earth-ionosphere waveguide. genetic algorithm combined with trained retrieve...

Spatial information can help improve source separation performance. Numerous spatially informed extraction methods based on the independent vector analysis (IVA) have been developed, which achieve reasonably good performance in non- or weakly reverberant environments. However, of those degrades quickly as reverberation increases. The underlying reason is that are derived multiplicative transfer function model with a rank-1 assumption, does not hold true if strong. To circumvent this issue,...

While the semi-blind source separation-based acoustic echo cancellation (SBSS-AEC) has received much research attention due to its promising performance during double-talk compared traditional adaptive algorithms, it suffers from system latency and nonlinear distortions. To circumvent these drawbacks, recently developed ideas on convolutive transfer function (CTF) approximation expansion have been used in iterative projection (IP)-based separation (SBSS) algorithm. However, because of...

Ginseng Radix et Rhizoma (GRR), Panacis Quinquefolii (PQR), Notoginseng radix rhizoma (NRR) and Platycodonis (PR) are often confused in the material market because of similar appearances characteristics. Moreover, chemical identification methods tend to characterize whole herb with regard a single or few components, which is an inaccurate representation does not demonstrate effective utilization unknown result unconvincing. In order strengthen quality control, improve efficiency, realize...

This paper studies the problem of target speaker signal exaction and antiphasic rendering with an array microphones in scenarios where there are two active speakers. Based on important findings achieved psychoacoustic field as well our recent works single-channel speech enhancement, we present a based approach which temporal convolutional network (TCN) is trained to take multiple signals observed by microphone its inputs generate output (binaural) signals. The TCN such way that, when...

Spectral estimation is of significant practical importance in a wide range applications. This paper proposes minimum variance distortionless response (MVDR) method for spectral based on the Kronecker product. Taking advantage particular structure Fourier vector, we decompose it as product two shorter vectors. Then, design filters under same structure, i.e., filters. Consequently, conventional MVDR spectrum problem transformed to one estimating much lengths. Since has fewer parameters...

Source extraction, which aims at extracting the target source signals from observed reverberant mixtures, plays an important role in voice communication and human-machine interfaces. Among numerous extraction methods that have been developed, geometrically constrained (GC) one, incorporates direction-of-arrival (DOA) information of signals, has demonstrated great potential. However, this method generally suffers significant performance degradation strong environments since it is challenging...

Blind-audio-source-separation (BASS) techniques, particularly those with low latency, play an important role in a wide range of real-time systems, e.g., hearing aids, in-car hand-free voice communication, human-machine interaction, etc. Most existing BASS algorithms are deduced to run on batch mode, and therefore large latency is unavoidable. Recently, some online were developed, which achieve separation frame-by-frame basis the short-time-Fourier-transform (STFT) domain significantly...

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Stereophonic music source separation (MSS) is a problem of extracting individual tracks, e.g. bass, drums, vocals, from stereo recording. Deep neural network (DNN) based MSS systems have demonstrated great promise though spatial panning cues and time-frequency spectral structures in not yet been fully explored such methods. This paper presents spatially-informed method using bridging band-split that incorporates both information. The angles each target are used as input the network, along...

Acoustic echo cancellation (AEC) is a crucial task in full duplex communications. As conventional linear filtering approaches are ineffective to deal with double-talk, various semi-blind source separation (SBSS)-based AEC algorithms deceived, most of which formulated and implemented the frequency domain based on multiplicative transfer function (MTF) model for computational efficiency. To avoid large latency order loudspeaker nonlinearities, convolutive (CTF) odd power series expansion...

Introduction Under the background of digitalization traditional Chinese medicine (TCM), this study aimed to realize digital identification and adulteration analysis Codonopsis Radix (CR) Stellariae (SR) based on chemical analysis. Methods This combined concepts conducted a CR SR from different batches UHPLC-QTOF-MS E . Furthermore, shared ions were extracted as their “ion characterization” after quantization. Then, data matrices unique relative screened out, top-N outputted “digital...