Signal Processing

Deep learning belongs to the scope of artificial intelligence, which has attracted researchers all over the world. The CNN is one the most popular techniques of deep learning. In this paper, the WLAN (wireless local area network) localization is given by SVD (singular value decomposition) noise-reduction and CNN (convolutional neural network).

  • Computational Intelligence
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Kun-Chou Lee and Yu-Da Huang

    This file is the low-speed wind tunnel flutter test data of a certain aeroelastic model using in our manuscript titled "Classification of flutter signals based on convolutional neural network and short-time Fourier transform", which is provide from the China Flight Test Establishment.

  • Signal Processing
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Hua

    A VOR receiver based on Software-Defined Radio is presented. Experiments showed that the system indicated the radials of the VOR station of São José dos Campos with an average error rate of less than 1% and a standard deviation of less than 2.14% in relation to those calculated cartographically. The results suggest that low volume and weight SDR-based VOR receivers can be developed with processing on microcontrollers or FPGAs to equip drones that need to operate in aerodrome environments.

     

  • Signal Processing
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    R. Mello

    This data set is for the paper titled:

     

    Channel Coding in 5G New Radio

    Tutorial Overivew and Performance Comparison with 4G LTE

  • Communications
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Dennis Hui, Sara Sandberg, Yufei Blankenship, Mattias Andersson, Leefke Grosjean

    This repository contains ROS bags with measurements related to the article "Forklift Positioning System for Pallet Tracking in Industrial Environments". The dataset includes measurements from UWB tags, IMU, Magnetometer and Px4Flow simulated in Gazebo. Also includes the position estimations calculated using the algorithm described in the related paper. 

  • Sensors
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Valentin Barral Vales, Pedro Suarez Casal, Carlos J. Escudero, Jose A. Garcia Naya

    This repository contains a data base of Cell Signal Quality samples obtained from 4 COTS cellphones. Data shows the dynamics of the cellular signal, and how these can be affected by the presence of human body nearby.

  • Communications
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Stefano Savazzi

    The frequency domain measurement of the scattering parameter, S21, of the wireless channel was carried out using the ZVB14 Vector Network Analyzer (VNA) from Rhode and Schwartz. The measurement system consists of the VNA, low loss RF cables, and omnidirectional antennas at the transmitter and receiver ends. The transmitter and receiver heights were fixed at 1.5 m. A program script was written for the VNA to measure 10 consecutive sweeps: each sweep contains 601 frequency sample points with spacing of 0.167 MHz to cover a 100 MHz band centered at 2.4 GHz.

  • Communications
  • Last Updated On: 
    Wed, 02/27/2019 - 22:18
    Citation Author(s): 
    Mohamed I. AlHajri, Nazar T. Ali, Raed M. Shubair

    This RSSI Dataset is a comprehensive set of Received Signal Strength Indicator (RSSI) readings gathered from within three different types of scenarios. Three wireless technologies were used which consisted of:

    • WiFi (IEEE 802.11n 2.4GHz band)
    • Bluetooth Low Energy (BLE) and
    • Zigbee (IEEE 802.15.4)

    For the experimentation, the equipment utilized consisted of Raspberry Pi 3 Model Bs, Gimbal Series 10 Beacons, and Series 2 Xbees with Arduino Uno microcontrollers.

  • Communications
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Sebastian Sadowski, Petros Spachos

    Mp3 is a very popular audio format and hence it can be a good host for carrying hidden messages. Therefore, different steganography methods have been proposed for mp3 hosts. UnderMp3Cover is one of such algorithms and has some important advantage over other comparable methods. First, the popular steganography method mp3stego, works directly on non-compressed samples. Therefore, using covers that have been compressed before could lead to serious degradation of its security. UnderMp3Cover does not have this important limitation.

  • Security
  • Last Updated On: 
    Thu, 06/07/2018 - 13:37

    This database consists of the data used for the 2018 IEEE Signal Processing Cup.  This iteration of the Signal Processing Cup was a forensic camera model identification challenge.  Teams of undergraduate students were tasked with building a system capable of determining type of camera (manufacturer and model) that captured a digital image without relying on metadata.

  • Signal Processing
  • Last Updated On: 
    Sat, 06/16/2018 - 23:18

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