Analog signal processing
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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Raw data of 'Tetherless Multi-targeted Bioimpedance Device for Monitoring Peripheral Artery Disease Progression'
The dataset includes results from measurements of pulse signals from three different arteries using a commercial bioimpedance device mentioned in the paper, both using the conventional method and the proposed approach.
Moreover, the dataset encompasses simulated outcomes derived from HFSS (High-Frequency Structure Simulator), specifically investigating the impact of different plaque sizes on current induction at various frequencies.
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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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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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