Jitendra K. Tugnait

What is he best known for?

The fields of study he is best known for:

• Statistics
• Algorithm
• Algebra

The scientist’s investigation covers issues in Algorithm, Estimation theory, Control theory, Statistics and Communication channel. His Algorithm research incorporates themes from Speech recognition, Detection theory, Detector and Cyclostationary process. His work deals with themes such as Higher-order statistics, Estimator, Markov chain, Applied mathematics and System identification, which intersect with Estimation theory.

His study in Control theory is interdisciplinary in nature, drawing from both Identifiability, Blind equalization and White noise. His Blind equalization study combines topics in areas such as Infinite impulse response and Finite impulse response. As part of one scientific family, Jitendra K. Tugnait deals mainly with the area of Communication channel, narrowing it down to issues related to the Transmission, and often Transmitter and Modulation.

His most cited work include:

• Brief paper: Detection and estimation for abruptly changing systems (255 citations)
• Identification and deconvolution of multichannel linear non-Gaussian processes using higher order statistics and inverse filter criteria (244 citations)
• Identification of linear stochastic systems via second- and fourth-order cumulant matching (214 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns Algorithm, Control theory, Communication channel, Estimation theory and Mathematical optimization. His research in Algorithm intersects with topics in Detection theory, Statistics, Code division multiple access and Speech recognition. His Control theory research is multidisciplinary, incorporating elements of MIMO and Blind equalization.

He has researched Communication channel in several fields, including Transmitter, Transmission and Modulation. Jitendra K. Tugnait combines subjects such as Higher-order statistics, Estimator, Identifiability, Applied mathematics and System identification with his study of Estimation theory. His Applied mathematics research is multidisciplinary, relying on both Strong consistency and Autoregressive–moving-average model.

He most often published in these fields:

• Algorithm (40.05%)
• Control theory (33.25%)
• Communication channel (27.49%)

What were the highlights of his more recent work (between 2013-2021)?

• Channel state information (6.28%)
• Algorithm (40.05%)
• Likelihood-ratio test (4.97%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Channel state information, Algorithm, Likelihood-ratio test, Duplex and Eavesdropping. His study with Channel state information involves better knowledge in Communication channel. The Algorithm study combines topics in areas such as Graph and Multivariate statistics, Graphical model, Statistics, Conditional independence.

His Likelihood-ratio test study combines topics from a wide range of disciplines, such as Spectral density, Estimator, Asymptotic distribution, Sequence and Statistic. His research investigates the connection between Precoding and topics such as Spatial correlation that intersect with issues in Control theory. His Control theory study integrates concerns from other disciplines, such as Iterated function and CHAOS.

Between 2013 and 2021, his most popular works were:

• Self-Contamination for Detection of Pilot Contamination Attack in Multiple Antenna Systems (66 citations)
• Pilot Spoofing Attack Detection and Countermeasure (33 citations)
• Optimal Multiband Transmission Under Hostile Jamming (23 citations)

In his most recent research, the most cited papers focused on:

• Statistics
• Algebra
• Computer network

His primary areas of investigation include Real-time computing, Duplex, Channel state information, Computer network and Eavesdropping. His Real-time computing study incorporates themes from Computer security, Spoofing attack, Subspace topology and Communication channel. His Computer security research integrates issues from Fading, Additive white Gaussian noise, Transmission, Minimax and Water-pouring algorithm.

His Subspace topology research includes themes of Minimum description length, MIMO, Blind signal separation and Power control. The study incorporates disciplines such as Key distribution in wireless sensor networks, Wireless WAN and Artificial noise in addition to Channel state information. His work carried out in the field of Computer network brings together such families of science as Wireless security and Wi-Fi array, Wireless LAN controller.