ECE 513: Vector Space Signal Processing (Spring 2020)

Projects

  • Project reports are due May 15th, by 11:59 PM on Compass.

Project Presentation Schedule: May 4th

Presentations will take place via the regular class Zoom Link Schedule for May 4th 2020:

Presenter Time Topic
Jiaming Wang 9:30 – 9:40 AM Channel Estimation for Molecular Communication with Signal-Dependent Noise
Andy Lai9:40 – 9:50 AM N-Ball Triangulation with Overcomplete Dictionaries
Shensheng Zhao9:50 – 10:00 AM Super resolution ultrasound imaging using compressed sensing
Molly Dasso10:00 – 10:10 AM Weighted Sums of Random Kitchen Sinks
Ahnaf Masroor10:10 – 10:20 AM Weighted Sums of Random Kitchen Sinks
Daniel Halperin10:20 – 10:30 AM Sparse Representation Classifier
Suhaas Yerapathi10:30 – 10:40 AM An Analysis on Sparse Representations for Facial Recognition
Riwei Jin10:40 – 10:50 AM Utilizing Partial Separability model to reconstruct noisy dynamic phantom through low rank constraint

Evaluation Form: May 4th

  • Every student is required to evaluate other project presentations for technical content and presentation quality. Do not evaluate yourself or your project teammate.

  • Link to form: Link

  • This form will be available 9:00 AM - 11:59 PM on May 4th.

Project Presentation Schedule: May 6th

Presentations will take place via the regular class Zoom Link Schedule for May 6th 2020:

Presenter Time Topic
Haocheng Hua 9:30 – 9:40 AM Medical image reconstruction
Yulun Wu9:40 – 9:50 AM Exact image deconvolution from multiple FIR blurs
Binghui Wang9:50 – 10:00 AM Exact image deconvolution from multiple FIR blurs
Jiahui Xiong10:00 – 10:10 AM Kernel methods and their potential use in signal processing
An Zhao10:10 – 10:20 AM Analysis of Griffin-Lim Algorithm
Zepeng Wang10:20 – 10:30 AM B-0 inhomogeneity corrected reconstruction using low-rank and spatial constraints
Rex Geng10:30 – 10:40 AM Tradeoff between Robustness and Complexity of Tracking with Kernelized Correlation Filter
Gangwon Jeong10:40 – 10:50 AM Joint angle/delay estimation (JADE)
Yucheng Liang10:50 – 11:00 AM Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems

Evaluation Form: May 6th

  • Every student is required to evaluate other project presentations for technical content and presentation quality. Do not evaluate yourself or your project teammate.

  • Link to form: Link

  • This form will be available 9:00 AM - 11:59 PM on May 6th.