scispace - formally typeset
K

Katsunori Seno

Researcher at Sony Broadcast & Professional Research Laboratories

Publications -  21
Citations -  657

Katsunori Seno is an academic researcher from Sony Broadcast & Professional Research Laboratories. The author has contributed to research in topics: Signal & Clock signal. The author has an hindex of 10, co-authored 21 publications receiving 656 citations.

Papers
More filters
Journal ArticleDOI

Dynamic Voltage and Frequency Management for a Low-Power Embedded Microprocessor

TL;DR: In this article, a dynamic voltage and frequency management (DVFM) scheme was introduced in a microprocessor for handheld devices with wideband embedded DRAM, which reduces the power consumption effectively by cooperation of the autonomous clock frequency control and the adaptive supply voltage control.
Journal ArticleDOI

Dynamic voltage and frequency management for a low-power embedded microprocessor

TL;DR: A dynamic voltage and frequency management (DVFM) scheme with leakage power compensation effect is introduced in a microprocessor with 128-bit wideband 64-Mb embedded DRAM, achieving 82% power reduction in personal information management scheduler application and 40% power reduced in MPEG4 movie playback.
Book ChapterDOI

Evaluation of a low-power reconfigurable DSP architecture

TL;DR: This paper proposes an architecture that relies on dynamic reconfiguration of hardware resources to implement low-power and programmable processors for DSP applications and compares it to other programmable architectures.
Patent

Power supply control device, semiconductor device and method of driving semiconductor device

TL;DR: In this paper, a delay detection circuit was proposed to detect the delay of the delay signal (outO0') with respect to the reference signal (Oi), and a supply voltage control circuit for controlling the supply voltage (VDD) supplied to the semiconductor circuit and the monitor circuit based on the result of detection.
Proceedings ArticleDOI

Heterogeneous reconfigurable systems

TL;DR: This paper presents an overview of opportunities of reconfigurable architectures in the architecture domain, combining high-level prediction and analysis tools with partitioning, optimization and mapping techniques.