ICCC

Dr. Azra Kaptanovic

PhD in Electrical and Computer Engineering

Dr. Azra Kaptanovic is a member of the ICCC alumni community. Documented research areas include wireless fading channels and Kalman filtering.

Selected published work: “Fading Channels Parametric Data Simulation Supported by Real Data from Outdoor Experiments” (2017). Publication details and links are listed below.

Research & Publications

2 matched publications · Newest first

This list contains publications matched from publisher and author records. It may not include every publication.

2017 · Journal of Signal and Information Processing

Fading Channels Parametric Data Simulation Supported by Real Data from Outdoor Experiments

Azra Kapetanovic, Mohamed A. Zohdy, Redhwan Mawari

View Publication
Start here · New researcher guide

A reading workflow, not an author-verified summary. Confirm all details in the original publication.

  1. Check the fit. Read the abstract and introduction. Write down the research question and explain how it relates to your idea.
  2. Understand the method. Identify the approach, assumptions, data and evaluation measures in the paper.
  3. Check reproducibility. Look for linked code, datasets and supplementary material. Availability has not been verified by ICCC.
  4. Find your next question. Read limitations and future work. Propose one extension and check newer literature before claiming a research gap.
  5. Plan a first experiment. Define a baseline, the change you will test and a measurable outcome. Discuss feasibility with your supervisor.

For questions or collaboration, visit the member profile and use a listed contact channel. Authorship and collaboration require agreement.

2016 · Journal of Signal and Information Processing

Second-Order Kalman Filtering Application to Fading Channels Supported by Real Data

Azra Kapetanovic, Redhwan Mawari, Mohamed A. Zohdy

View Publication
Start here · New researcher guide

A reading workflow, not an author-verified summary. Confirm all details in the original publication.

  1. Check the fit. Read the abstract and introduction. Write down the research question and explain how it relates to your idea.
  2. Understand the method. Identify the approach, assumptions, data and evaluation measures in the paper.
  3. Check reproducibility. Look for linked code, datasets and supplementary material. Availability has not been verified by ICCC.
  4. Find your next question. Read limitations and future work. Propose one extension and check newer literature before claiming a research gap.
  5. Plan a first experiment. Define a baseline, the change you will test and a measurable outcome. Discuss feasibility with your supervisor.

For questions or collaboration, visit the member profile and use a listed contact channel. Authorship and collaboration require agreement.

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