Analog signal processing

The "Thaat and Raga Forest (TRF) Dataset" represents a significant advancement in computational musicology, focusing specifically on Indian Classical Music (ICM). While Western music has seen substantial attention in this field, ICM remains relatively underexplored. This manuscript presents the utilization of Deep Learning models to analyze ICM, with a primary focus on identifying Thaats and Ragas within musical compositions. Thaats and Ragas identification holds pivotal importance for various applications, including sentiment-based recommendation systems and music categorization.

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PV Solar Power System Under Partial Shading Irradiance Conditions

Operation of a photovoltaic (PV) solar array connected to a variable DC source to plot the l-V and P-V characteristics under partial shading irradiance conditions.

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199 Views

This dataset is

This is all data from the paper submitted to [2024 ICCE].

#1570910095 ('Silicon Transistor (Solid-State) Amplifiers Produce Vacuum Tube Amplifier Sound')

 

The main data submitted is

It is the "IEA4V-PAPER-Silicon-TR-Amp-word365-main-ENG2.0-Rev2.14-20230503pm1527-Rev *.*.PDF" file, and there are several files that have been slightly modified.

The remaining PDF files are supplementary materials cited from the submitted main material.

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The "Multi-modal Sentiment Analysis Dataset for Urdu Language Opinion Videos" is a valuable resource aimed at advancing research in sentiment analysis, natural language processing, and multimedia content understanding. This dataset is specifically curated to cater to the unique context of Urdu language opinion videos, a dynamic and influential content category in the digital landscape.

Dataset Description:

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DESED dataset is the dataset that was used in DCASE 2019 task 4. The dataset for this task is composed of 10 sec audio clips recorded in domestic environment or synthesized using Scaper to simulate a domestic environment.

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This dataset contains data collected from multiple paths, such as Unequally space path, Curved path, ESPLB, data collected from actual paths, and concentration prediction data. This experiment adopts a new concentration data collection path ESBLP method efficiently divides the study area into three parts and measures concentration data along the boundaries to calculate gradients.

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This dataset contain the pulse responses of the Sallen-Key bandpass filter circuit and the amplifier board circuit. The test excitation is a 10 us pulse signal with an amplitude of 5 V and a frequency of 5 kHZ that exhibits abundant frequency components. By observing the pulse response, the sampling frequency is set to 5 MHz and the number of sampling points for each sample is fixed at 1000 in Case 1. PSPICE is applied for circuit simulation to set up the circuit fault according to the range of fault component parameter values.
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The diagram depicts the forces of three types of bondage (fabric bondage, rigid bondage and variable stiffness bondage) in contact with human skin.

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Supplementary material for the article "Three-electrode double-differential biopotential amplifier for surface EMG measurements". Connection diagrams, intermediate results, images of the designed prototype and a video of the working prototype are presented.

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102 Views

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