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Found 8 papers, 2 papers with code
One-Bit Target Detection in Collocated MIMO Radar and Performance Degradation Analysis
Target detection is an important problem in multiple-input multiple-output (MIMO) radar.
Improper Gaussian Signaling for the $K$-user MIMO Interference Channels with Hardware Impairments
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).
Procrustes registration of two-dimensional statistical shape models without correspondences
Manually placed landmarks are often used for correspondence in the design of statistical shape models.
Two-Channel Passive Detection Exploiting Cyclostationarity
This paper addresses a two-channel passive detection problem exploiting cyclostationarity.
Deep Morphing: Detecting bone structures in fluoroscopic X-ray images with prior knowledge
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.
Model-order selection in statistical shape models
It requires choosing a model order, which determines how much of the variation seen in the training data is accounted for by the PDM.
A weighting strategy for Active Shape Models
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.
Detecting Directionality in Random Fields Using the Monogenic Signal
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.
