MSEE: Recent submissions

  • Zaka, Umair; Supervised by Dr. Imran Touqir. (MCS, 2017-03)
    Inter symbol interference and rapid time variations makes doubly selective channels difficult to equalize. The rapid time variations entail a receiver that also adapts itself to the channel variation. This increases ...
  • Oaj, Eesha; Supervised by Dr. Imran Touqir. (MCS, 2017-02)
    Image de-noising based on wavelet can be extended to video de-noising by using it on each frame separately. By manipulating inter-frame correlations de-noising performance can be enhanced by using appropriate temporal ...
  • Mamoon, Maj Ajlaan Bin; Supervised by Dr. Imran Touqir. (MCS, 2017-01)
    Everyday an enormous amount of information is stored, processed, and transmitted. Because much of this information is graphical or pictorial in nature, the storage and communications requirements are immense. Though in ...
  • Waqas, Shakeel Ahmad; Supervised by Dr. Imran Touqir. (MCS, 2016-09)
    In recent years, the demand of wireless communication systems has led to rapid development of new wireless technologies. The deployment of these emerging technologies will generate complex inter and intra network topologies, ...
  • Iqbal, Ali; Supervised by Dr. Imran Touqir. (MCS, 2016-06)
    As we know that images are the most important Digital data now a days. Image compression plays vital role in terms of saving storage space and reduction of transmission time. Wavelet transform is considered as landmark in ...
  • Rafiq, Umair; Supervised by Dr. Abdul Ghafoor. (MCS, 2016-03)
    Reflection due to the shiny surfaces like water or glass being one of the common artifactswhich degrade the image quality significantly. Reflection removal sometimes alsoreferred as layer separation is a challenging task ...
  • Jabeen, Saira; Supervised by Dr. Imran Rashid. (MCS, 2016-01)
    Ever growing demand for new services and ubiquitous connectivity increases the energy consumption. Energy efficient communication system cover a given area with maximal energy efficiency (bit/joule) using massive MIMO ...
  • Anwar, Saira; Supervised by Dr. Adnan Ahmed Khan. (MCS, 2016-03)
    The thesis is based on the detection and characterization of frequency hopping (FH) signals, operating in HF (2-30MHz) band. The work is focused on the blind detection and parameter estimation of FH. The algorithm does ...
  • Zulfiqar, Aisha; Supervised by Dr. Imran Rashid. (MCS, 2016-01)
    Compressed sensing theory is based on the novel idea that, a specific class of signals i.esparse signals can be recovered by sampling below the traditional sampling rate, as used incommunication systems theory. Thus the ...
  • Rabab, Saba; Supervised by Dr. Imran Rashid. (MCS, 2016-03)
    In block compressed sensing, the retrieval of block sparse signals from an under determinedsystem of linear equations is of main interest. The successful recovery of such signals depends on the optimally designed sensing ...
  • Raja, Muhammad Yahya; Supervised by Dr. Imran Touqir (MCS, 2016-02)
    We discourse video denoising problem, in which, it is required to eradicate AWGN from a certain video. For this, we aim to focus on a particular approach which is very promising and extremely efficient, that is, sparse ...
  • Alam, Sana; Supervised by Dr. Abdul Ghafoor. (MCS, 2015-12)
    Image processing has gained lot of importance over the last few years. Its applications are used in almost all the fields especially medical field. The development of automated techniques for detection of diabetic eye ...
  • Haider, Maham; Supervised by Dr. Imran Tauqir (MCS, 2015-10)
    Denoising of real-world signals that are corrupted by Gaussian noise is a long established problem in statistical signal processing. For real-time signals, the techniques like denoising and detection needs the models to ...
  • Ahmed, Zeeshan; Supervised by Dr. Farooq Ahmed Bhatti. (MCS, 2015-10)
    Since the commencement of human civilization, humankind attempts to communicate with each other. It is the process of communication, namely the sharing of information, emotions and feelings that has made the mankind the ...
  • Shamshad, Fahad; Supervised by Dr. M Mohsin Riaz. (MCS, 2015-11)
    In this work the issue of removing Poisson noise from images and videos is addressed. The Poisson noise is dependent on signal intensity and requires more sophisticated algorithmsfor its removal. For high Signal to Noise ...
  • Zafar, Jamal; Supervised by Dr. Imran Rashid. (MCS, 2015-09)
    The requirement of higher data throughput in wireless communication systems is ever increasing. The exponential growth in mobile data traffic has led researchers to innovative ideas to cater for these new requirements. At ...
  • Hayat, Mazhar; Supervised by Dr. Imran Rashid. (MCS, 2014-01)
    World have seen the revolution in the field of communication over the last two decades, there have been improvements in the ways of communication around us in our homes, offices and across the entire world over. The credit ...
  • Chaudhary, Umar Iftikhar; Supervised by Dr. Imran Rashid. (MCS, 2016-07)
    Last couple of decades has witness revolutionary changes in communication industry. There has been a paradigm shift in the way we use to see communications, and we can appropriately say that present communication needs and ...
  • Rehman, Waqas ur; Supervised by Dr. Adnan Rashdi. (MCS, 2016-05)
    Cognitive Radios belongs to the class of smart communication devices that exploit the spectrum underutilization to its fullest and provide the best communication services possible. But all that technology requires robust ...
  • Muhammad, Niaz; Supervised by Dr. Farooq Ahmed Bhatti. (MCS, 2016-01)
    In this thesis FSS has been used with aperture coupled microstrip patch antenna as a superstrate for the enhancement of gain and directivity. In first step an aperture coupled microstrip patch antenna has been designed ...

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