scispace - formally typeset
G

Gang Chen

Researcher at Chongqing University

Publications -  86
Citations -  1137

Gang Chen is an academic researcher from Chongqing University. The author has contributed to research in topics: Lens (optics) & Diffraction. The author has an hindex of 15, co-authored 74 publications receiving 750 citations. Previous affiliations of Gang Chen include Stevens Institute of Technology.

Papers
More filters
Journal Article

Spectral Signal Recognition Based on Wavelet Packet Analysis

TL;DR: This paper takes spectral signal according with Lambert-beer' law as object, introduces basic theory and method of recognition of spectral signal in brief, normalizes spectral signal to decrease difficulty, introduces wavelet analysis theory and makes use of binary tree' mode distinguishing step by step for quick recognition.
Journal Article

[The project and simulation of a compositive miniature spectrum instrument based on the array of Fabry-Perot cavity].

TL;DR: A kind of micro-spectrometer based on Fabry-Perot cavity's character of filtering the waves which can achieve the detection at several wavelengths simultaneously and is possible to fabricate through existing processing methods of IC technology.
Patent

Tunnel type MEMS (Micro-electromechanical Systems) gyroscope

TL;DR: In this paper, a tunnel-type MEMS gyroscope with a symmetrical polygonal mass block is presented. But the authors did not specify the parameters of the mass block and the conical tip electrodes.
Patent

Reflecting-type super diffraction line focusing device based on metal strip-shaped antenna array

TL;DR: In this paper, a reflecting-type super diffraction line focusing device based on a metal strip-shaped antenna array is proposed, which sequentially comprises the metal strip, a dielectric layer, a metal membrane layer and a substrate layer.
Journal ArticleDOI

Gold nanoparticle-coated silicon cone array for surface-enhanced Raman spectroscopy

TL;DR: In this paper, a silicon cone array substrate with gold nanoparticles was used for surface-enhanced Raman spectroscopy (SERS) and the results showed that SERS signals obtained from 24 random areas on the substrate showed good homogeneity with an average standard deviation of 3.9%.