N
Nene Kushita
Researcher at Gunma University
Publications - 10
Citations - 30
Nene Kushita is an academic researcher from Gunma University. The author has contributed to research in topics: Polyphase system & Signal. The author has an hindex of 3, co-authored 10 publications receiving 28 citations.
Papers
More filters
Proceedings ArticleDOI
Analog / Mixed-Signal / RF Circuits for Complex Signal Processing
TL;DR: The research history of the authors' group in the area of analog/mixed-signal circuits for complex or quadrature signal processing is described and the data weighted averaging (DWA) algorithms for complex ADCs/DACs are introduced.
Proceedings ArticleDOI
Flat Pass-Band Method with Two RC Band-Stop Filters for 4-Stage Passive RC Polyphase Filter in Low-IF Receiver Systems
TL;DR: This paper proposes a flat pass-band for a 4-stage passive RC polyphase filter in a blue-tooth low-IF receiver system; there the bandwidth is 8MHz, the center IF frequency is 4MHz, and the required image rejection ratio is <-30dB.
Proceedings ArticleDOI
Performance Improvement of Delta-Sigma ADC/DAC/TDC Using Digital Technique
Haruo Kobayashi,Jiang-Lin Wei,Masahiro Murakami,Jun-ya Kojima,Nene Kushita,Yuanyang Du,Jianlong Wang +6 more
TL;DR: This paper reviews the authors’ group research results of data-weighted averaging (DWA) algorithm for multi-bit ΔΣADC/DAC/TDC and also dithering techniques for ΔηDAC for limit cycle reduction and also investigates limit cycle suppression techniques in ΔδΣDAC.
Proceedings ArticleDOI
Analysis and Evaluation Method of RC Polyphase Filter
Koji Asami,Nene Kushita,Akemi Hatta,Minh Tri Tran,Yoshiro Tamura,Anna Kuwana,Haruo Kobayashi +6 more
TL;DR: This paper introduces a technique to evaluate the mismatch characteristics between the real path and the imaginary path in the RC polyphase filter, which could lead the complex analog processing to apply for the wideband wireless communications.
Proceedings ArticleDOI
Limit Cycle Suppression Technique Using Random Signal In Delta-Sigma DA Modulator
TL;DR: It is shown in simulations that the investigated method can reduce the limit cycle, while keeping the overall linearity, thanks to the fact that the random noise is noise-shaped.