What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Electrical engineering
- Signal
His primary areas of study are Acoustics, Speech recognition, Electronic engineering, Echo and Signal processing.
His research integrates issues of Microphone array, Noise, Analog signal and Filter design in his study of Acoustics.
His work on Speech processing and Voice activity detection as part of general Speech recognition research is frequently linked to Dialog system, thereby connecting diverse disciplines of science.
His research in Electronic engineering is mostly focused on Adaptive filter.
As a part of the same scientific study, he usually deals with the Noise control, concentrating on Prototype filter and frequently concerns with Algorithm.
His Control study incorporates themes from Computational complexity theory, Telephony, Digital signal processor and Finite impulse response.
His most cited work include:
- Acoustic Echo and Noise Control: A Practical Approach (389 citations)
- Acoustic echo control. An application of very-high-order adaptive filters (373 citations)
- Step-size control for acoustic echo cancellation filter—an overview (215 citations)
What are the main themes of his work throughout his whole career to date?
Gerhard Schmidt focuses on Acoustics, Speech recognition, Signal, Electronic engineering and Microphone.
His studies deal with areas such as Audio signal flow, Audio signal, Echo and Analog signal as well as Acoustics.
His Speech recognition research includes themes of Audio signal processing and Speech enhancement.
In general Signal, his work in Signal processing and Noise is often linked to Position linking many areas of study.
As part of his studies on Electronic engineering, Gerhard Schmidt frequently links adjacent subjects like Bandwidth extension.
His Microphone research is multidisciplinary, incorporating elements of Transfer function and Noise.
He most often published in these fields:
- Acoustics (34.60%)
- Speech recognition (29.66%)
- Signal (29.66%)
What were the highlights of his more recent work (between 2016-2021)?
- Speech recognition (29.66%)
- Signal (29.66%)
- Acoustics (34.60%)
In recent papers he was focusing on the following fields of study:
Gerhard Schmidt mostly deals with Speech recognition, Signal, Acoustics, Magnetostriction and Algorithm.
The concepts of his Speech recognition study are interwoven with issues in Bandwidth extension and Loudspeaker.
His Signal research incorporates themes from Motor unit, Animal data and Communications system.
His Acoustics study often links to related topics such as Microphone.
His Algorithm research integrates issues from Treadmill, Inertial measurement unit, Wearable computer and Parkinson's disease.
The study incorporates disciplines such as Control and Electronic engineering in addition to Acoustic feedback cancellation.
Between 2016 and 2021, his most popular works were:
- Wide Band Low Noise Love Wave Magnetic Field Sensor System. (45 citations)
- Long-term unsupervised mobility assessment in movement disorders. (41 citations)
- Validation of a Step Detection Algorithm during Straight Walking and Turning in Patients with Parkinson's Disease and Older Adults Using an Inertial Measurement Unit at the Lower Back. (29 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Artificial intelligence
- Signal
His primary areas of investigation include Magnetostriction, Piezoelectricity, Thin film, Algorithm and Speech recognition.
His Magnetostriction investigation overlaps with Noise and Acoustics.
Gerhard Schmidt works mostly in the field of Piezoelectricity, limiting it down to topics relating to Optoelectronics and, in certain cases, Phase and Detection limit.
His studies in Algorithm integrate themes in fields like Parkinson's disease and Signal level.
His Parkinson's disease research integrates issues from Sit to stand, Stand to sit, Wearable computer and Direction detection.
His Speech recognition study combines topics from a wide range of disciplines, such as Signal and Speech communication.
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