Digital signal processing

Spoken Indian Language Identification Database

(9 languages, 8 different utterance lengths)

Languages

  1. Assamese 
  2. Bengali 
  3. Gujarati 
  4. Hindi 
  5. Kannada 
  6. Malayalam 
  7. Marathi 
  8. Tamil 
  9. Telugu

Durations

  1. 30 sec
  2. 10 sec
  3. 5 sec
  4. 3 sec
  5. 1 sec
  6. 0.5 sec
  7. 0.2 sec
  8. 0.1 sec

 

 

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979 Views

    

Dataset used for "A Machine Learning Approach for Wi-Fi RTT Ranging" paper (ION ITM 2019). The dataset includes almost 30,000 Wi-Fi RTT (FTM) raw channel measurements from real-life client and access points, from an office environment. This data can be used for Time of Arrival (ToA), ranging, positioning, navigation and other types of research in Wi-Fi indoor location. The zip file includes a README file, a CSV file with the dataset and several Matlab functions to help the user plot the data and demonstrate how to estimate the range.

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2909 Views

We conducted an undersea magnetic induction (MI) communication experiment in the South China Sea to demonstrate the feasibility of a rotating permanent magnet transmitter. The rotating permanent magnet transmitter is placed on the floating platform for generating the inductive magnetic field, and a ferrite-rod coil with the glue-filled waterproof seal is hung in the seawater as a receiving antenna. This data is a received magnetic signal at a depth of 30 m in seawater.
 

 

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136 Views

This dataset accompanies a paper titled "Detection of Metallic Objects in Mineralised Soil Using Magnetic Induction Spectroscopy". 

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399 Views

This paper presents a novel implementation scheme

of the essential circuit blocks for high performance, full-precision

Booth multipliers leveraging a hybrid logic style. By exploiting

the behavior of parasitic capacitance of MOSFETs, a carefully

engineered design style is employed to reduce dynamic power dissipation

while improving the glitch immunity of the circuit blocks.

The circuit-level techniques along with the proposed signal-flow

optimization scheme prevent the generation and propagation

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334 Views

It is the HDL files with a submisstion to the IEEE journal.

Last Updated On: 
Fri, 05/01/2020 - 05:55

This paper applies AI (artificial intelligence) technology to analyze low-dose HRCT (High-resolution chest radiography) data in an attempt to detect COVID-19 pneumonia symptoms. A new model structure is proposed with segmentation of anatomical structures on DNNs-based (deep learning neural network) methods, relying on an abundance of labeled data for proper training.

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3722 Views

Dataset asscociated with a paper in IEEE Transactions on Pattern Analysis and Machine Intelligence

"The perils and pitfalls of block design for EEG classification experiments"

DOI: 10.1109/TPAMI.2020.2973153

If you use this code or data, please cite the above paper.

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1571 Views

This work develops a novel power control framework for energy-efficient powercontrol in wireless networks. The proposed method is a new branch-and-boundprocedure based on problem-specific bounds for energy-efficiency maximizationthat allow for faster convergence. This enables to find the global solution forall of the most common energy-efficient power control problems with acomplexity that, although still exponential in the number of variables, is muchlower than other available global optimization frameworks.

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442 Views

This dataset is composed of 4-Dimensional time series files, representing the movements of all 38 participants during a novel control task. In the ‘5D_Data_Extractor.py’ file this can be set up to 6-Dimension, by the ‘fields_included’ variable. Two folders are included, one ready for preprocessing (‘subjects raw’) and the other already preprocessed ‘subjects preprocessed’.

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303 Views

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