Search results

Section: Publications & Resources

Are you looking to energize signal processing students, early stage researchers, and industry practitioners in your area? Consider hosting a Seasonal School for young engineers near you!

Section: Publications & Resources

This webinar will address the problem of identifying the structure of an undirected graph from the observation of signals defined on its nodes. Fundamentally, the unknown graph encodes direct relationships between signal elements, which we aim to recover from observable indirect relationships generated by a diffusion process on the graph. 

Section: Events

Lecture Date: December 10, 2019 Chapter: Seattle Chapter Chair: Adam Loper Topic: A Joint Auditory Attention Decoding and Adaptive Beamforming Optimization Approach for the Challenging Cocktail Party Problem

Section: Events

Submission Deadline: March 15, 2020 Call for Proposals Document

Section: Publications & Resources

Publication: IEEE Journal of Selected Topics in Signal Processing

The last few years have witnessed a tremendous growth of the demand for wireless services and a significant increase of the number of mobile subscribers. A recent data traffic forecast from Cisco reported that the global mobile data traffic reached 1.2 zettabytes per year in 2016, and the global IP traffic will increase nearly threefold over the next 5 years.

Section: Publications & Resources

Publication: IEEE Journal of Selected Topics in Signal Processing

In this paper we propose a family of index modulation systems which can operate with low-power consumption and low operational complexity for multi-user communication. This is particularly suitable for non-time sensitive Internet of Things (IoT) applications such as telemetry, smart metering, and soon.

Section: Publications & Resources

Publication: IEEE Journal of Selected Topics in Signal Processing

A novel scheme called dual-polarized spatial media-based modulation (DP-SMBM), which combines judiciously the media-based modulation (MBM), spatial modulation (SM), and dual-polarized (DP) antennas, is proposed in this paper. The DP-SMBM introduces a new DP domain to convey additional information without occupying extra physical space, effectively enhancing the transmission rate and alleviating the finite space issue.

Section: Publications & Resources

Publication: IEEE Signal Processing Letters

Many well-known line spectral estimators may experience significant performance loss with noisy measurements. To address the problem, we propose a deep learning denoising based approach for line spectral estimation. The proposed approach utilizes a residual learning assisted denoising convolutional neural network (DnCNN) trained to recover the unstructured noise component, which is used to denoise the original measurements.

Section: Publications & Resources

Publication: IEEE Signal Processing Letters

Two-directional two-dimensional canonical correlation analysis ((2D) 2 CCA) directly seeks linear relationship between different image data sets without reshaping images into vectors. However, it fails in finding the nonlinear correlation. 

Section: Publications & Resources

Publication: IEEE Signal Processing Letters

Although deep convolutional neural networks (DCNN) show significant improvement for single depth map (SD) super-resolution (SR) over the traditional counterparts, most SDSR DCNNs do not reuse the hierarchical features for depth map SR resulting in blurred high-resolution (HR) depth maps. They always stack convolutional layers to make network deeper and wider.