His Communication channel study frequently links to related topics such as Control theory. The Artificial intelligence study combines topics in areas such as Lidar, Machine learning, Computer vision and Pattern recognition. The various areas that he examines in his Computer network study include Wireless, Wireless ad hoc network and Wireless network. His Algorithm study combines topics in areas such as Statistics, Bayesian inference and Signal processing. His main research concerns Algorithm, Computer network, Artificial intelligence, Electronic engineering and Communication channel.

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

Comparative study of textural analysis techniques to characterise tissue from intravascular ultrasound (412 citations).

Development of EMD-Based Denoising Methods Inspired by Wavelet Thresholding (416 citations).

Relay selection for secure cooperative networks with jamming (428 citations).

His Relay research is multidisciplinary, relying on both Interference and Routing protocol. His Computer network study combines topics from a wide range of disciplines, such as Relay channel, Relay, Cooperative diversity and Channel allocation schemes. His Communication channel study incorporates themes from Duplex and Equalizer. The study incorporates disciplines such as Reflectance spectroscopy, Speech synthesis, Speech recognition, Speech processing and Least squares in addition to Nonlinear system.

Stephen McLaughlin has included themes like Radial basis function network, Statistics, Cluster analysis, Frequency domain and Signal in his Algorithm study. His primary scientific interests are in Algorithm, Nonlinear system, Communication channel, Telecommunications and Computer network. What is he best known for? The fields of study he is best known for:

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