What is she best known for?
The fields of study she is best known for:
- Statistics
- Artificial intelligence
- Algorithm
Visa Koivunen mainly focuses on Algorithm, Statistics, Electronic engineering, Signal processing and Cognitive radio.
Her biological study spans a wide range of topics, including Nonparametric statistics, Estimator and Direction of arrival.
Her work in Statistics covers topics such as Constant false alarm rate which are related to areas like Clutter.
Her Electronic engineering research integrates issues from Bistatic radar, Waveform, Interference, Radar and Topology.
Her work carried out in the field of Signal processing brings together such families of science as Faà di Bruno's formula and Robustness.
Visa Koivunen interconnects Detector, Fading and Cyclostationary process in the investigation of issues within Cognitive radio.
Her most cited work include:
- Advanced methods for I/Q imbalance compensation in communication receivers (442 citations)
- Interference-Aware Resource Allocation for Device-to-Device Radio Underlaying Cellular Networks (416 citations)
- Device-to-Device Communication Underlaying Cellular Communications Systems (358 citations)
What are the main themes of her work throughout her whole career to date?
Her primary areas of study are Algorithm, Electronic engineering, Communication channel, MIMO and Artificial intelligence.
As a member of one scientific family, Visa Koivunen mostly works in the field of Algorithm, focusing on Estimator and, on occasion, Covariance matrix.
The concepts of her Electronic engineering study are interwoven with issues in Radar, Telecommunications, Cognitive radio, Waveform and Orthogonal frequency-division multiplexing.
The Cognitive radio study combines topics in areas such as Reinforcement learning and Fading.
Her MIMO study incorporates themes from Telecommunications link and Control theory.
Her work is dedicated to discovering how Artificial intelligence, Pattern recognition are connected with Blind signal separation and other disciplines.
She most often published in these fields:
- Algorithm (32.55%)
- Electronic engineering (22.03%)
- Communication channel (14.42%)
What were the highlights of her more recent work (between 2016-2021)?
- Algorithm (32.55%)
- Radar (10.14%)
- Waveform (7.80%)
In recent papers she was focusing on the following fields of study:
Visa Koivunen mainly investigates Algorithm, Radar, Waveform, Electronic engineering and Sparse array.
Her research integrates issues of Point spread function, Estimator and Beamforming in her study of Algorithm.
In her study, Inference, Feature selection and Artificial intelligence is strongly linked to Statistical inference, which falls under the umbrella field of Estimator.
The study incorporates disciplines such as MIMO, Communication channel, Orthogonal frequency-division multiplexing, Interference and Communications system in addition to Radar.
Her Waveform research includes themes of Signal-to-noise ratio, Subcarrier, Fourier transform and Wireless.
Her Electronic engineering study typically links adjacent topics like Simulation.
Between 2016 and 2021, her most popular works were:
- Joint Device Positioning and Clock Synchronization in 5G Ultra-Dense Networks (101 citations)
- Toward Millimeter-Wave Joint Radar Communications: A signal processing perspective (82 citations)
- Robust Statistics for Signal Processing (59 citations)
In her most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Algorithm
Visa Koivunen spends much of her time researching Algorithm, Radar, Waveform, Electronic engineering and Sparse array.
Her Algorithm study integrates concerns from other disciplines, such as Test statistic, FastICA, Mathematical optimization, Linear array and Robustness.
Visa Koivunen works mostly in the field of Robustness, limiting it down to concerns involving Estimation of covariance matrices and, occasionally, Data mining and Signal processing.
Her research in Radar intersects with topics in Subcarrier and Communications system.
Visa Koivunen has included themes like Wireless, Antenna array, Clock synchronization, Synchronization and Real-time computing in her Waveform study.
Her Electronic engineering research incorporates elements of Detector, Multivariate interpolation, Inverse distance weighting, Kriging and Cognitive radio.
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