Search Results - "Qumar, Jawed"

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  1. 1

    Multidynamic Radar: A Concept for Strategic Air Surveillance System by Qumar, Jawed, Christopher, S., Bhattacharjee, Ratnajit

    Published in IEEE sensors letters (01-12-2021)
    “…Multidynamic radar (MDR) configuration is emerging as state of the art in the field of airborne radar, where several airborne radars work in a coordinated…”
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    Journal Article
  2. 2

    Automatic Identification System Simulator for Marine Applications by Panicker, Naumi Krishna K, Mittal, Nidhi, Qumar, Jawed, Saravanan, D, Valarmathi, J

    “…The Automatic Identification System (AIS) is one of the most successful maritime technologies which allows ships to autonomously communicate their positions…”
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    Conference Proceeding
  3. 3

    STAP Based Detector for Multi-Dynamic Radar in Homogeneous Clutter Scenario by Qumar, Jawed, Christopher, S, Bhattacharjee, Ratnajit

    “…Multi-Static-Radar (MSR) systems are emerging technology due to exploitation of spatial diversity nature, offering improved Performance for various…”
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    Conference Proceeding
  4. 4

    Target detection with transmitters identity waveform for multi-dynamic radar scenario by Qumar, Jawed, Christopher, S, Bhattacharjee, Ratnajit

    Published in 2017 IEEE Calcutta Conference (CALCON) (01-12-2017)
    “…Multi-dynamic radar systems are of emerging interest as airborne surveillance system, as it can exploit spatial diversity for airborne radar scenario…”
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    Conference Proceeding
  5. 5

    Novel techniques for target detection with waveform identity in multi-static radar using bi-static configuration by Qumar, Jawed, Christopher, S., Bhattacharjee, Ratnajit

    “…In recent years, multi-static radar system has gained importance due to its improved coverage area. This radar system is an extension of mono-static radar…”
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    Conference Proceeding
  6. 6

    Design of Ambiguity Function for Multi-Dynamic Radar extension of Multi-Static Radar by Qumar, Jawed, Christopher, S, Bhattacharjee, Ratnajit

    “…In a radar system the proper choice of waveforms directly affects the performance of the system like signal to noise ratio (SNR), range resolution, Doppler…”
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    Conference Proceeding
  7. 7

    Implementation of MELP Encoder on Zynq FPGA using HLS by M., Koushik, Shivanagi, Shashidhar, Qumar, Jawed, Yadav, Jyoti, Saravanan, D.

    “…For the speech communication techniques there is a lot of scope nowadays. Due to number of applications increasing, there is a need for the approach for the…”
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    Conference Proceeding
  8. 8

    MELP Decoder Implementation on Zynq Kit by High Level Synthesis by Shivanagi, Shashidhar, Koushik, M, Qumar, Jawed, Gupta, Gaurav, Saravanan, D.

    “…MELP (Mixed Excitation Linear Prediction) is the improvement of LPC (Linear Predictive Coding). This is to overcome some of the limitations of LPC. It is one…”
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    Conference Proceeding
  9. 9

    Implementation of G.723.1Decoder on Zynq FPGA using HLS by Koushik, M, Shivanagi, Shashidhar, Gupta, Gaurav, Qumar, Jawed, Saravanan, D.

    “…For the speech communication techniques there is a lot of scope nowadays. Due to number of applications increasing, there is a need for the approach for the…”
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    Conference Proceeding
  10. 10

    G.723.1Coder implementation on ZYNQ kitby high level synthesis by Shivanagi, Shashidhar, Koushik, M, Gupta, Gaurav, Qumar, Jawed, Saravanan, D.

    “…This paper describes the G.723.1 algorithm Coder Implementation and optimizing area and computation time parameters. This is a speech or audio compression…”
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    Conference Proceeding
  11. 11

    A Novel Technique for Merging of Multisensor and Defocussed Images using Multiwavelets by Qumar, J., Pachori, R.B.

    “…We present a novel method for merging of images from different sensors or defocussed images from same sensor. In this purposed method discrete multiwavelet…”
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    Conference Proceeding