Browsing by Author "Tajer, Ali"

Now showing items 1-18 of 18

    • An improved video compression framework with fine-grain scalability 

      Liu, Yuan (Rensselaer Polytechnic Institute, Troy, NY, 2019-12)
      Finally, we investigated the selection of Lagrange multipliers for motion estimation based on extracted features of video clips to be compressed by interframe EZBC. By designing an iterative mechanism, we showed the PSNR ...

    • An optimization approach to the economics of efficient multi-tiered spectrum sharing 

      Saha, Gourav (Rensselaer Polytechnic Institute, Troy, NY, 2020-08)
      The Three-Tier Spectrum Sharing Framework (3-TSF) is a spectrum sharing model adopted by the Federal Communications Commission which operates in the 3.5 GHz spectrum band. According to this model, under-utilized federal ...

    • Data quality monitoring and improvement of synchronized phasor measurements 

      Hao, Yingshuai (Rensselaer Polytechnic Institute, Troy, NY, 2018-12)
      Phasor measurement units (PMU) provide time-synchronized high-resolution measurements at rates from 30 up to 120 samples per second. Since the provided synchrophasor measurements facilitate the wide-area monitoring, ...

    • Design of real-world person re-identification systems 

      Zheng, Meng (Rensselaer Polytechnic Institute, Troy, NY, 2020-05)
      While we introduced novel attentive deep re-id networks for both image- and video-based re-id, all these networks require well-trained classifiers for retrieving meaningful localized regions and visual explanations, which ...

    • Distributed interference management under low network visibility : theory and applications 

      Fadel, Maha (Rensselaer Polytechnic Institute, Troy, NY, 2020-08)
      Reliable communication in wireless networks currently relies on the perfect estimation of the varying state of the wireless channel at all communicating nodes. While the next generation of wireless networks promises ...

    • High-fidelity information extraction in future power grids 

      Yi, Ming (Rensselaer Polytechnic Institute, Troy, NY, 2022-12)
      The recent decades have witnessed the rapid growth of the deployment of smart meters in power systems. The massive amount of data collected from smart meters provide rich information of power systems, such as system dynamics ...

    • HVDC converters impedance modeling and system stability analysis 

      Liu, Hanchao (Rensselaer Polytechnic Institute, Troy, NY, 2017-08)
      Harmonic linearization is used as the fundamental tool to model the sequence impedances of MMC and LCC as well as the frequency cross-coupling terms. Different from two level-VSC, the steady-state operation of MMC and LCC ...

    • Multistatic passive polarimetric radar imaging 

      Son, Il-Young (Rensselaer Polytechnic Institute, Troy, NY, 2018-12)
      This thesis studies the exploitation of polarimetric diversity in passive radar imaging. To this end, we develop a novel polarimetric data model and show that by exploiting polarimetric diversity, passive radar can better ...

    • Neural models for causal information extraction using domain adaptation 

      Saha, Anik (Rensselaer Polytechnic Institute, Troy, NY, 2023-08)
      The task of identifying causality related events or actions from text is an important step in building knowledge graph of events and consequences from the vast amount of unlabeled documents available to us in the digital ...

    • Non-convex optimizations for machine learning with theoretical guarantee: robust matrix completion and neural network learning 

      ZHANG, shuai (Rensselaer Polytechnic Institute, Troy, NY, 2021-12)
      Despite the recent development in machine learning, most learning systems are still under the concept of “black box”, where the performance cannot be understood and derived. With the rise of safety and privacy concerns in ...

    • On broadcast approach for multiple access channel 

      Kazemi, Samia Binte (Rensselaer Polytechnic Institute, Troy, NY, 2016-08)
      Proposed approach is further extended to multiple access channels subjected to lower uncertainty level due to the availability of partial state information. Each transmitter is aware of its own channel state while the ...

    • Passive radar detection and imaging using low-rank matrix recovery 

      Mason, Eric Scott (Rensselaer Polytechnic Institute, Troy, NY, 2017-05)
      The objective of this thesis is to develop passive radar imaging methods in an optimization framework that utilize prior information. Passive radar relies on transmitters of opportunity such as commercial television, ...

    • Privacy and quality of service aware edge network design 

      Wang, Yu (Rensselaer Polytechnic Institute, Troy, NY, 2022-05)
      As the network infrastructure grows increasingly more capable of supporting large throughput, other factors such as privacy and latency remain increasingly important in network design. In this thesis, we target two trade-offs: ...

    • Quickest statistical inference over networked data 

      Heydari Khormizi, Seyed Javad (Rensselaer Polytechnic Institute, Troy, NY, 2018-08)
      There exists a line of study in which the decision-making and data acquisition processes are decoupled and the focus is placed on forming the most reliable decisions based on a given set of data samples. These approaches ...

    • Sensorless frame-to-volume multimodal image fusion via deep learning 

      Guo, Hengtao (Rensselaer Polytechnic Institute, Troy, NY, 2022-12)
      Prostate cancer is the leading cause of death for men in the western world. The fusion of transrectal ultrasound (US) and magnetic resonance (MR) images for guiding the biopsy can facilitate the clinical diagnosis of ...

    • Signal processing system design for two-dimensional magnetic recording disk drives 

      Zheng, Ning (Rensselaer Polytechnic Institute, Troy, NY, 2015-12)
      As the global digital data volume keeps exploding with an annual growth rate of over 60%, reliable and ever more affordable mass data storage hard disk drives (HDDs) are indispensable in our digital universe. However, the ...

    • Statistical learning and inference over networks 

      Sihag, Saurabh (Rensselaer Polytechnic Institute, Troy, NY, 2020-12)
      In this dissertation, we build upon the fundamental principles behind structure learning, parameter estimation, hypothesis testing, and group testing to analyze different problems in network models that arise in practical ...

    • Theory, methods, and algorithms for interferometric inversion and phase retrieval with applications in wave-based imaging 

      Yonel, Bariscan (Rensselaer Polytechnic Institute, Troy, NY, 2020-12)
      This thesis addresses the problems of interferometric inversion and phase retrieval with the goal of identifying performance guarantees for deterministic imaging problems via non-convex optimization theory. Interferometry ...