Michael D. Zoltowski

What is he best known for?

The fields of study he is best known for:

• Algorithm
• Telecommunications
• Statistics

The scientist’s investigation covers issues in Algorithm, Direction finding, Antenna array, Eigenvalues and eigenvectors and Telecommunications. His Algorithm research is multidisciplinary, incorporating elements of Subspace topology, Control theory, Mathematical optimization, Sensor array and Multipath propagation. His Antenna array research focuses on subjects like Estimation theory, which are linked to Bandwidth.

The Eigenvalues and eigenvectors study combines topics in areas such as Azimuth, Optics, Covariance matrix, Signal and Direction cosine. The various areas that Michael D. Zoltowski examines in his Telecommunications study include Sampling and Electronic engineering, Nyquist–Shannon sampling theorem. His Electronic engineering research includes elements of MIMO and Precoding.

His most cited work include:

• Eigenstructure techniques for 2-D angle estimation with uniform circular arrays (439 citations)
• Closed-form 2-D angle estimation with rectangular arrays in element space or beamspace via unitary ESPRIT (427 citations)
• OFDM blind carrier offset estimation: ESPRIT (314 citations)

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

Michael D. Zoltowski focuses on Algorithm, Electronic engineering, Communication channel, Control theory and Beamforming. The concepts of his Algorithm study are interwoven with issues in Multipath propagation, Mathematical optimization and Orthogonal frequency-division multiplexing. His research in Mathematical optimization intersects with topics in Computational complexity theory, Estimator, Eigenvalues and eigenvectors and Signal processing.

The various areas that Michael D. Zoltowski examines in his Eigenvalues and eigenvectors study include Azimuth and Direction cosine. He works mostly in the field of Electronic engineering, limiting it down to topics relating to Waveform and, in certain cases, Complementary sequences. His work carried out in the field of Control theory brings together such families of science as Wiener filter and Conjugate gradient method.

He most often published in these fields:

• Algorithm (52.72%)
• Electronic engineering (30.95%)
• Communication channel (25.21%)

What were the highlights of his more recent work (between 2007-2019)?

• Algorithm (52.72%)
• Orthogonal frequency-division multiplexing (13.75%)
• MIMO (12.89%)

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

Michael D. Zoltowski mainly focuses on Algorithm, Orthogonal frequency-division multiplexing, MIMO, Communication channel and Electronic engineering. His work deals with themes such as Telecommunications, Complementary sequences, Minimum mean square error, Waveform and Bit error rate, which intersect with Algorithm. His Orthogonal frequency-division multiplexing research is multidisciplinary, incorporating perspectives in Transmitter, Block code and Fading.

His MIMO study combines topics from a wide range of disciplines, such as Signal-to-noise ratio, Kalman filter, Control theory and Beamforming. His Communication channel research includes elements of Wireless, Wideband, Decoding methods, Bayesian probability and Compressed sensing. Ambiguity function is closely connected to Radar in his research, which is encompassed under the umbrella topic of Electronic engineering.

Between 2007 and 2019, his most popular works were:

• Pilot Beam Pattern Design for Channel Estimation in Massive MIMO Systems (187 citations)
• Multi-Resolution Codebook and Adaptive Beamforming Sequence Design for Millimeter Wave Beam Alignment (107 citations)
• User Selection With Zero-Forcing Beamforming Achieves the Asymptotically Optimal Sum Rate (86 citations)

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

• Statistics
• Algorithm
• Telecommunications

MIMO, Electronic engineering, Algorithm, Precoding and Communication channel are his primary areas of study. His MIMO research includes themes of Beamforming, Mathematical optimization, Approximation algorithm, Signal-to-noise ratio and Single antenna interference cancellation. His studies in Electronic engineering integrate themes in fields like Signal and Signal processing.

His biological study spans a wide range of topics, including Waveform, Bit error rate, Complementary sequences and Orthogonal frequency-division multiplexing. His research investigates the connection between Precoding and topics such as Control theory that intersect with issues in MIMO-OFDM. The study incorporates disciplines such as Kalman filter, Beam and Computer network, Base station in addition to Communication channel.