no code implementations • 19 Dec 2020 • Yu-Hang Xiao, David Ramírez, Peter J. Schreier, Cheng Qian, Lei Huang
Target detection is an important problem in multiple-input multiple-output (MIMO) radar.
no code implementations • 28 Jan 2020 • Mohammad Soleymani, Ignacio Santamaria, Peter J. Schreier
This paper investigates the performance of improper Gaussian signaling (IGS) for the $K$-user multiple-input, multiple-output (MIMO) interference channel (IC) with hardware impairments (HWI).
no code implementations • 26 Nov 2019 • Alma Eguizabal, Peter J. Schreier, Jürgen Schmidt
Manually placed landmarks are often used for correspondence in the design of statistical shape models.
1 code implementation • 17 Jun 2019 • Stefanie Horstmann, David Ramírez, Peter J. Schreier
This paper addresses a two-channel passive detection problem exploiting cyclostationarity.
no code implementations • 9 Aug 2018 • Aaron Pries, Peter J. Schreier, Artur Lamm, Stefan Pede, Jürgen Schmidt
We propose approaches based on deep learning to localize objects in images when only a small training dataset is available and the images have low quality.
1 code implementation • 1 Aug 2018 • Alma Eguizabal, Peter J. Schreier, David Ramírez
It requires choosing a model order, which determines how much of the variation seen in the training data is accounted for by the PDM.
no code implementations • 28 Jul 2017 • Alma Eguizabal, Peter J. Schreier
Finding these targets is a critical step: some landmarks are more reliably detected than others, and some landmarks may not be within the field of view of their detectors.
no code implementations • 10 Apr 2013 • Sofia Olhede, David Ramírez, Peter J. Schreier
Classifying a structure as directional or non-directional requires a measure to quantify the degree of directionality and a threshold, which needs to be chosen based on the statistics of the image.