What is he best known for?
The fields of study he is best known for:
- Statistics
- Algorithm
- Algebra
Chrysostomos L. Nikias mostly deals with Signal processing, Algorithm, Estimation theory, Bispectrum and Statistics.
His study in Signal processing focuses on Signal reconstruction in particular.
His Algorithm research includes themes of Phase and Communication channel.
Chrysostomos L. Nikias has included themes like Cumulant, Monte Carlo method and Applied mathematics in his Estimation theory study.
Chrysostomos L. Nikias has researched Bispectrum in several fields, including Speech recognition, Parametric statistics and Autoregressive model.
His Statistics study integrates concerns from other disciplines, such as Gaussian noise and Noise.
His most cited work include:
- Bispectrum estimation: A digital signal processing framework (1248 citations)
- Signal processing with alpha-stable distributions and applications (1046 citations)
- Higher-Order Spectra Analysis: A Nonlinear Signal Processing Framework (944 citations)
What are the main themes of his work throughout his whole career to date?
Algorithm, Signal processing, Electronic engineering, Estimation theory and Mathematical optimization are his primary areas of study.
His Algorithm study combines topics from a wide range of disciplines, such as Speech recognition, Noise and Signal reconstruction.
His specific area of interest is Signal processing, where Chrysostomos L. Nikias studies Multidimensional signal processing.
His biological study spans a wide range of topics, including Space-time adaptive processing and Statistical signal processing.
His Electronic engineering study also includes
- White noise which connect with Autocorrelation,
- Stable process which is related to area like Probability density function.
His Bispectrum course of study focuses on Parametric statistics and Spectral density.
He most often published in these fields:
- Algorithm (51.14%)
- Signal processing (32.42%)
- Electronic engineering (18.26%)
What were the highlights of his more recent work (between 1994-2004)?
- Algorithm (51.14%)
- Signal processing (32.42%)
- Noise (14.16%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Algorithm, Signal processing, Noise, Statistics and Estimation theory.
Chrysostomos L. Nikias interconnects Radar, Clutter, Electronic engineering and Wavelet transform in the investigation of issues within Algorithm.
His Electronic engineering research focuses on subjects like Stable process, which are linked to Robustness, Probability density function, Statistical physics and Sensor array.
As a part of the same scientific family, Chrysostomos L. Nikias mostly works in the field of Signal processing, focusing on Monte Carlo method and, on occasion, Estimator.
His Noise study combines topics in areas such as Interference, Detection theory, Stability and Matched filter.
His work deals with themes such as Ambiguity function, Gaussian noise and Noise, which intersect with Statistics.
Between 1994 and 2004, his most popular works were:
- Signal processing with alpha-stable distributions and applications (1046 citations)
- Performance of optimum and suboptimum receivers in the presence of impulsive noise modeled as an alpha-stable process (215 citations)
- EVAM: an eigenvector-based algorithm for multichannel blind deconvolution of input colored signals (195 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Algorithm
- Algebra
Chrysostomos L. Nikias focuses on Algorithm, Signal processing, Statistics, Noise and Clutter.
He does research in Algorithm, focusing on Linear prediction specifically.
His Signal processing research is multidisciplinary, incorporating elements of Electromagnetic interference, Linear filter, Estimation theory, Adaptive filter and Mathematical optimization.
The study incorporates disciplines such as Gaussian noise and Noise in addition to Statistics.
His Noise research incorporates elements of Interference, Detection theory, Electronic engineering and Stable process.
His research integrates issues of Stochastic process, Iterative method, Stability and Sonar in his study of Electronic engineering.
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