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Chu Yu

Researcher at National Ilan University

Publications -  36
Citations -  339

Chu Yu is an academic researcher from National Ilan University. The author has contributed to research in topics: Viterbi decoder & Soft-decision decoder. The author has an hindex of 7, co-authored 35 publications receiving 316 citations. Previous affiliations of Chu Yu include National Taiwan University.

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Validation of the World Health Organization quality of life instrument in patients with HIV infection

TL;DR: The WHOQOL-BREF can be a useful quality-of-life instrument in patients with HIV infection, and factor analysis identified four major factors: social, psychological, environment, and physical, consistent with the four domains of the instrument.
Journal ArticleDOI

A novel low-power 64-point pipelined FFT/IFFT processor for OFDM applications

TL;DR: To eliminate the read-only memories used to store the twiddle factors, the proposed architecture applies a reconfigurable complex multiplier and bit-parallel multipliers to achieve a ROM-less FFT/IFFT processor, thus consuming lower power than the existing works.
Journal ArticleDOI

VLSI implementation of 2-D discrete wavelet transform for real-time video signal processing

TL;DR: This paper presents the architecture and implementation of a single-chip VLSI for the two-dimensional discrete wavelet transform (2-D DWT) decomposition, which uses a parallel-systolic filter structure to compute all the resolution levels of the DWTs, such that the input samples can be processed at the rate of one sample per clock cycle.
Journal ArticleDOI

Design of an efficient VLSI architecture for 2-D discrete wavelet transforms

TL;DR: A VLSI architecture for the separable two-dimensional discrete wavelet transform (DWT) decomposition is presented and it is shown how the proposed separable architecture uses only a minimal number of filters to generate all levels of DWT computations in real time.
Proceedings ArticleDOI

Design of a low power viterbi decoder for wireless communication applications

TL;DR: A novel low-power Viterbi decoder with soft decision is proposed, using a soft-decision method to improve its correction capability and using RAM instead of register banks for recording the output bit-stream of the survivor path.