Search Results for author:
Found 26 papers, 1 papers with code
Or's of And's for Interpretable Classification, with Application to Context-Aware Recommender Systems
In both cases, there are prior parameters that the user can set to encourage the model to have a desired size and shape, to conform with a domain-specific definition of interpretability.
Micro Hand Gesture Recognition System Using Ultrasonic Active Sensing
In this paper, we propose a micro hand gesture recognition system and methods using ultrasonic active sensing.
A Deep-Learning-Based Geological Parameterization for History Matching Complex Models
The metrics are based on summary statistics of the nonlinear filter responses of geological models to a pre-trained deep CNN.
Cognitive Radar Using Reinforcement Learning in Automotive Applications
The concept of cognitive radar (CR) enables radar systems to achieve intelligent adaption to a changeable environment with feedback facility from receiver to transmitter.
Theoretical Analysis for Extended Target Recovery in Randomized Stepped Frequency Radars
Randomized Stepped Frequency Radar (RSFR) is very attractive for tasks under complex electromagnetic environment.
A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems
High-fidelity numerical simulation results for the posterior geomodels (generated by the surrogate-based data assimilation procedure) are shown to be in essential agreement with the recurrent R-U-Net predictions.
Decentralized Automotive Radar Spectrum Allocation to Avoid Mutual Interference Using Reinforcement Learning
In this paper, a decentralized spectrum allocation approach is presented to avoid mutual interference among automotive radars.
Spatial Modulation for Joint Radar-Communications Systems: Design, Analysis, and Hardware Prototype
For the radar subsystem, our experiments show that the spatial agility induced by the GSM transmission improves the angular resolution and reduces the sidelobe level in the transmit beam pattern compared to using fixed antenna allocations.
3D CNN-PCA: A Deep-Learning-Based Parameterization for Complex Geomodels
Geological parameterization enables the representation of geomodels in terms of a relatively small set of variables.
Designing the Waveform Bandwidth and Time Duration of Automotive Radars for Better Collision Warning Performance
Then, the waveform parameters are designed with a limit on the TBP to optimize the system performance.
A Random Antenna Subset Selection Jamming Method against Multistatic Radar System
Multistatic radar system (MSRS) is considered an effective scheme to suppress mainlobe jamming, since it has higher spatial resolution enabling jamming cancellation from spatial domain.
Unambiguous Delay-Doppler Recovery from Random Phase Coded Pulses
Our method encodes each pulse with a random phase, varying from pulse to pulse, and then processes the received samples jointly to resolve the range ambiguity.
Phase Transitions in Frequency Agile Radar Using Compressed Sensing
FAR has improved anti-jamming performance over traditional pulse-Doppler radars under complex electromagnetic circumstances.
Robust Small Object Detection on the Water Surface Through Fusion of Camera and Millimeter Wave Radar
In our work, we focus on a relatively unexplored task for USVs in inland waters: small object detection on water surfaces, which is of vital importance for safe autonomous navigation and USVs' certain missions such as floating waste cleaning.
FloW: A Dataset and Benchmark for Floating Waste Detection in Inland Waters
To promote the practical application for autonomous floating wastes cleaning, we present FloW, the first dataset for floating waste detection in inland water areas.
Structured LISTA for Multidimensional Harmonic Retrieval
In this paper, we show that the mutual inhibition matrix of a MHR problem naturally has a Toeplitz structure, which means that the degrees of freedom (DoF) of the matrix can be reduced from a quadratic order to a linear order.
Are We Ready for Unmanned Surface Vehicles in Inland Waterways? The USVInland Multisensor Dataset and Benchmark
Unmanned surface vehicles (USVs) have great value with their ability to execute hazardous and time-consuming missions over water surfaces.
Simultaneous Localization and Mapping
Stereo Matching
Robotics
FRaC: FMCW-Based Joint Radar-Communications System via Index Modulation
The proposed FMCW-based radar-communications system (FRaC) operates at reduced cost and complexity by transmitting with a reduced number of radio frequency modules, combined with narrowband FMCW signalling.
Transmit Design for Joint MIMO Radar and Multiuser Communications with Transmit Covariance Constraint
With this constraint, we formulate and solve the signal-to-interference-plus-noise ratio (SINR) balancing problem for multiuser transmit beamforming via convex optimization.
Block-Sparse Recovery Network for Two-Dimensional Harmonic Retrieval
As a typical signal processing problem, multidimensional harmonic retrieval (MHR) has been adapted to a wide range of applications in signal processing.
Theoretical Linear Convergence of Deep Unfolding Network for Block-Sparse Signal Recovery
In this paper, we consider the recovery of the high-dimensional block-sparse signal from a compressed set of measurements, where the non-zero coefficients of the recovered signal occur in a small number of blocks.
Compressed sensing radar detectors under the row-orthogonal design model: a statistical mechanics perspective
Such detector can analytically provide the threshold according to given false alarm rate, which is not possible with the conventional CS detector, and the detection performance is proved to be better than that of the traditional LASSO detector.
Direction Finding in Partly Calibrated Arrays Exploiting the Whole Array Aperture
To this end, we exploit the orthogonality of the signals of partly calibrated arrays.
a cognitive frequency allocation strategy for multi-carrier radar against communication interference
To address this challenge, we use a novel iteratively selecting technique which breaks a difficult decision task into several easy tasks.
Near Field Computational Imaging with RIS Generated Virtual Masks
We then provide a RIS design scheme for virtual EM masks by employing a regularization technique.
Compressed Sensing Radar Detectors based on Weighted LASSO
Based on this estimator, we construct a detector, termed the debiased weighted LASSO detector (DWLD), for CS radar systems and prove its advantages.
