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Padmakumar Ramachandra Rao

Researcher at Delft University of Technology

Publications -  21
Citations -  384

Padmakumar Ramachandra Rao is an academic researcher from Delft University of Technology. The author has contributed to research in topics: CMOS & Image sensor. The author has an hindex of 9, co-authored 20 publications receiving 366 citations. Previous affiliations of Padmakumar Ramachandra Rao include IMEC.

Papers
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Proceedings ArticleDOI

Random Telegraph Signal in CMOS Image Sensor Pixels

TL;DR: In this paper, the 1/f noise of the Source Follower (SF) in pinned-photodiode CMOS pixels is characterized, and it is found that the noise in these pixels is actually due to a very limited number of traps and results in a Random Telegraph Signal (RTS).
Proceedings ArticleDOI

A CMOS Image Sensor with a Buried-Channel Source Follower

TL;DR: Measurements show that compared to a regular imager with a standard nMOS transistor surface-mode source follower (SSF), the new pixel structure reduces dark random noise by more than 50% and improves output swing by almost 100%.
Journal ArticleDOI

Degradation of CMOS image sensors in deep-submicron technology due to γ-irradiation

TL;DR: In this article, the degradation of the CMOS image sensors in deep-submicron technology due to γ-ray irradiation is studied by developing a model for the spectral response of the sensor and also by the dark-signal degradation as a function of STI (shallow-trench isolation) parameters.
Proceedings Article

Degradation of CMOS image sensors in deep-submicron technology due to γ-irradiation

TL;DR: In this paper, the degradation of the CMOS image sensors in deep-submicron technology due to γ-ray irradiation is studied by developing a model for the spectral response of the sensor and also by the dark-signal degradation as a function of STI (shallow-trench isolation) parameters.
Proceedings ArticleDOI

Fixed-Pattern Noise Induced by Transmission Gate in Pinned 4T CMOS Image Sensor Pixels

TL;DR: In this article, the authors presented the characterization and analysis of fixed-pattern noise (FPN) in CMOS Image Sensor (CIS) pixels fabricated in the CMOS 0.18-m process.