N. S. Jayant

What is he best known for?

The fields of study he is best known for:

• Algorithm
• Telecommunications
• Data compression

Nuggehally Sampath Jayant mainly focuses on Speech recognition, Speech coding, Algorithm, Multiplier and Quantization. He carries out multidisciplinary research, doing studies in Speech recognition and Ideal observer analysis. The study incorporates disciplines such as Intelligibility, Low delay and Speech processing in addition to Speech coding.

His biological study spans a wide range of topics, including Linear prediction, Waveform, Signal-to-quantization-noise ratio and Digital coding. His study in Algorithm is interdisciplinary in nature, drawing from both Pulse-code modulation, Adaptive differential pulse-code modulation, Filter bank and Sub-band coding. He merges Quantization with Speech communication in his study.

His most cited work include:

• Digital Coding of Waveforms: Principles and Applications to Speech and Video (832 citations)
• Signal compression based on models of human perception (769 citations)
• Three-dimensional subband coding of video (240 citations)

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

His primary areas of investigation include Speech recognition, Algorithm, Quantization, Speech coding and Signal. His Speech recognition research incorporates elements of Quality and Scrambler. His Algorithm research incorporates themes from Waveform, Communication channel and Sequence.

Nuggehally Sampath Jayant has included themes like Vector quantization, Discrete mathematics and Control theory in his Quantization study. Nuggehally Sampath Jayant has researched Speech coding in several fields, including Adaptive Multi-Rate audio codec, Voice activity detection and Signal-to-noise ratio. The Signal study combines topics in areas such as Electronic engineering and Combinatorics.

He most often published in these fields:

• Speech recognition (50.00%)
• Algorithm (30.88%)
• Quantization (25.00%)

What were the highlights of his more recent work (between 1991-1999)?

• Speech recognition (50.00%)
• Algorithm (30.88%)
• Artificial intelligence (17.65%)

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

Nuggehally Sampath Jayant mostly deals with Speech recognition, Algorithm, Artificial intelligence, Signal and Data compression. All of his Speech recognition and Code-excited linear prediction, Speech processing, Speech coding and Sub-band coding investigations are sub-components of the entire Speech recognition study. His studies deal with areas such as Signal transfer function, Sequence and Electronic engineering as well as Algorithm.

He combines subjects such as Signal compression, Signal processing and Channel code with his study of Data compression. His Signal compression research is multidisciplinary, incorporating elements of Digital signal processing and Coding theory. His Signal processing study incorporates themes from Digital signal, Entropy and Wireless.

Between 1991 and 1999, his most popular works were:

• Signal compression based on models of human perception (769 citations)
• Three-dimensional subband coding of video (240 citations)
• A low-delay CELP coder for the CCITT 16 kb/s speech coding standard (189 citations)

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

• Algorithm
• Telecommunications
• Artificial intelligence

Nuggehally Sampath Jayant focuses on Speech recognition, Vector quantization, Signal compression, Signal processing and Data compression. His Speech recognition study frequently involves adjacent topics like Codec. His research in Vector quantization intersects with topics in Wireless, Telecommunications, Broadband and Channel code.

His work deals with themes such as Digital signal, Entropy, Digital signal processing and Coding theory, which intersect with Signal compression.