Roger Webster · IEEE Transactions on Signal Processing · 1993
Automatic detection criteria are not generally appropriate for displays where decisions are made by a human operator. However, it is shown that the Lawson-Uhlenbeck (1965) deflection criterion continues to be a useful predictor of the minimum detectable signal (MDS) for displays and simplifies the relationship between automatic and display detection performance.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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Sumedh Sopan Nagrale · Zenodo (CERN European Organization for Nuclear Research) · 2019
No description provided.
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Omar Rehan · Kaggle · 2025
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Jaspar Vinitha Sundari T, Sachin Sakthi Kuppusami Sakthivel, V Dharshini et al. · 2023
In this paper, a signal processing-based technique for hydraulic fault diagnosis is identified. This technique measures the hydraulic state parameters and extracts the corresponding features. By using algorithms like SVM, Random Forest, and a modified CNN (3 convolutional layers and 2 hidden layers), it is possible to compare the relationship between the measured signals and faults. The respective output accuracies are obtained and compared. The advantages of residual learning and a dense connection are combined in this modified CNN model, which not only makes it simple to extract deep features but also efficient when using shallow features. Then, based on the results we obtained from the modified convolutional neural network, SVM, and random forest, we classify the results, and the average output accuracy is determined as 64.7 for SVM and 70.3 for Random Forest. The average output accuracy we obtained for the modified CNN is 97.5%.
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Cesar A. Medina (12501240), Eddie Vargas (12501243), Stephanie J. Munger (12501246) et al. · Figshare · 2022
<p>Song from an adult, male zebra finch is shown. Finches sing a characteristic song that is comprised of multiple motifs. Each blue box outlines a unique motif in that bird’s song. A red box outlines a repeated motif. Each motif is composed of a unique sequence of syllables. Four broad types of syllables include Harmonic (H), Noisy (N), Mixed (M), and Slide (S). Additionally, Flat Harmonic (H<sub>f</sub>) syllables were separately analyzed from general harmonic syllables. Individual acoustic features can be measured from all of these syllables (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0265604#pone.0265604.t001" target="_blank">Table 1</a>). The y axis represents frequency (Hz) and the x axis represents time (ms). Two seconds of song is shown for presentation. The frequency window is between 0 and 13 kHz. The scale bar represents 100ms.</p>
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Sara Travaglione (326283), Giulia Ballan (812172), Andrea Fortuna (812173) et al. · Figshare · 2015
<p>(A) Chronic cortical stainless steel electrodes (a) between right sensorimotor and visual cortex, (b) on the right frontal area, and (c) a ground electrode on the left sensorimotor area, (d) hole for icv injection of CNF1. (B) Digital amplifier-recording system. (C) EEG example tracks registered in awake (upper) and in sleep state. (D) Spectral analysis of 60 seconds of EEG traks from mice in wakefulness (left panel) and sleep state (right panel).</p>
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Ilyas Potamitis (564163) · Figshare · 2015
<p>Derivations and enumeration of the masks. Axis are enumerated according to their pixel index.</p>
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Verna, Virginia · AMS Degree Thesis (University of Bologna)
The retrieval of the gradient of the phase from spectrogram measurements is a challenging mathematical problem that has received less attention in the mathematical literature compared to the standard phase retrieval problem. The technique used to collect the measurements is called ptychography, an innovative imaging technique that provides high-resolution data. This thesis first focuses on the mathematical analysis and the development of a numerical algorithm for the reconstruction of the gradient, and ultimately provides an application of the derived model in simple settings.
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Sohee Jin (11432673), Hee Jung Baik (11432676), Sooyoung Cho (279948) et al. · Figshare · 2021
<p>Group-median spectrograms show that the power of alpha waves (8–13 Hz) and beta waves (13–30 Hz) became stronger and weaker, respectively, with time.</p>
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Antikainen, Aku, Agrawal, Govind · Figshare · 2019
The total spectrogram over all cores of a hexagonal seven-core fiber at various propagation distances. The cores have a diameter of 6 µm and are separated by 12 µm. The input pulse is a 15 kW 100 fs sech-pulse launched in the center core.
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Nattapol Aunsri (15307064), Prasara Jakkaew (17920995), Chanin Kuptametee (20135811) · Figshare · 2024
<div><p>Non-linear and non-stationary signals are analyzed and processed in the time-frequency (TF) domain due to interpretation simplicity. Wigner-Ville distribution (WVD) delivers a very sharp resolution of non-stationary signals in the TF domain. However, cross-terms occur between true frequency modes due to their bilinear nature. Masked WVD reduces cross-terms by multiplying the time-frequency representation (TFR) obtained from the WVD with the TFR of the same signal obtained from another method, while S-transform (ST) is a linear signal analysis method that combines the advantages of short-time Fourier transform (STFT) and wavelet transform (WT). This paper investigated WVD masking with both original and modified STs to compare their cross-term reduction results. Moreover, additional parameters are integrated into the ST to deliver the better resolution of the ST and, consequently, more satisfactory cross-term reduction. However, these parameters must be carefully optimized by expert users in their respective application fields.</p></div>
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Orcan Alpar, Ondřej Krejcar · Applied Intelligence · 2017
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Di Giorgi, Bruno, Levy, Mark, Sharp, Richard · Zenodo (CERN European Organization for Nuclear Research) · 2022
Vocoders are models capable of transforming a low-dimensional spectral representation of an audio signal, typically the mel spectrogram, to a waveform. Modern speech generation pipelines use a vocoder as their final component. Recent vocoder models developed for speech achieve high degree of realism, such that it is natural to wonder how they would perform on music signals. Compared to speech, the heterogeneity and structure of the musical sound texture offers new challenges. In this work we focus on one specific artifact that some vocoder models designed for speech tend to exhibit when applied to music: the perceived instability of pitch when synthesizing sustained notes. We argue that the characteristic sound of this artifact is due to the lack of horizontal phase coherence, which is often the result of using a time-domain target space with a model that is invariant to time-shifts, such as a convolutional neural network. We propose a new vocoder model that is specifically designed for music. Key to improving the pitch stability is the choice of a shift-invariant target space that consists of the magnitude spectrum and the phase gradient. We discuss the reasons that inspired us to re-formulate the vocoder task, outline a working example, and evaluate it on musical signals. Our method results in 60% and 10% improved reconstruction of sustained notes and chords with respect to existing models, using a novel harmonic error metric.
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Raghav Magazine, Ayush Agarwal, Anand Hedge et al. · Lecture notes in computer science · 2022
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Md. Taisirul Muktadi, Tanzeem Tahmeed Reza, M. Anwar Hossain et al. · 2025
Emotion detection aims to interpret emotions through data like text, voice, and physiological signals, which holds significant potential for monitoring mental health and human-computer interaction. Electroencephalogram (EEG) is a non-invasive technique recording brain activity and offers unique insights for real-time emotion detection. This study evaluates classifying emotions (i.e. positive, negative, neutral) in EEG using deep learning, emphasizing Convolutional Neural Networks (CNN). After going through the preprocessing part, the time-frequency representations along with random transformations were created as inputs to the CNN architecture by a short-time Fourier transform of the EEG signals from the SEED dataset. The spectrograms have been processed to have better outcomes, and they showed an overall accuracy of 99.80% in detecting the emotions classes. Also, processed spectrograms, along with the actual spectrograms, have been fed together to the CNN model as a hypothesis, and there we achieved an overall accuracy of 66%, depicting that the usage of processed spectrograms can be a potential field of study to recognize emotions from EEG signals.
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Cedric Fevotte · IEEE RESOURCE CENTERS · 2024
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Jonathan Le Roux, Hirokazu Kameoka, Emmanuel Vincent et al. · SPIRE - Sciences Po Institutional REpository · 2009
National audience
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Shiwu Du · 2012
The vocal music teaching has being developing quite a time. However, it still uses oral teaching and inspiration of true understanding even today. With the development of modern science and technology, images of the voice can be processed so as to see the usage quality of the voice. As a result, visualized teaching methods are widely applied in modern education and teaching. Singing is a complex timbre. In vocal music teaching, through scientific instrument, the voice can be compared in a visualized way, which makes the invisible voice visualized. In this case, the vocal music teaching changes from the traditional model to a combination way with "mouth, ears and eyes".
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Sean A. Fulop · Signals and communication technology · 2011
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Liyao Xing, Zhongqing Wang, Peifeng Li · Lecture notes in computer science · 2025
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