Browsing by Author "Liu, Yi-De"

Now showing 1 - 5 of 5

A gate-free monolayer WSe2 pn diode
(2018-08-07)
Chen, Jhih-Wei
;
Lo, Shun-Tsung
;
Ho, Sheng-Chin
;
Wong, Sheng-Shong
;
Vu, Thi-Hai-Yen
Interest in bringing p- and n-type monolayer semiconducting transition metal dichalcogenides (TMD) into contact to form rectifying pn diode has thrived since it is crucial to control the electrical properties in two-dimensional (2D) electronic and optoelectronic devices. Usually this involves vertically stacking different TMDs with pn heterojunction or, laterally manipulating carrier density by gate biasing. Here, by utilizing a locally reversed ferroelectric polarization, we laterally manipulate the carrier density and created a WSe2 pn homojunction on the supporting ferroelectric BiFeO3 substrate. This non-volatile WSe2 pn homojunction is demonstrated with optical and scanning probe methods and scanning photoelectron microspectroscopy. A homo-interface is a direct manifestation of our WSe2 pn diode, which can be quantitatively understood as a clear rectifying behavior. The non-volatile confinement of carriers and associated gate-free pn homojunction can be an addition to the 2D electron-photon toolbox and pave the way to develop laterally 2D electronics and photonics.
A New Iterative Algorithm for Finding the Minimum Sampling Frequency of MultiBand Signals
(2010-10-01)
Lin, Yuan-Pei
;
Liu, Yi-De
;
Phoong, See-May
;
電控工程研究所
;
Institute of Electrical and Control Engineering
In this correspondence, we propose a new iterative algorithm for finding the minimum sampling frequency of a signal that consists of multiple bandpass signals. This finds important application in software radio where it is desirable to downconvert multiple bandpass signals simultaneously. We will derive a new set of conditions for alias-free sampling. The minimum sampling frequency can be found by iteratively increasing the sampling frequency to meet the alias-free conditions. We will show how the algorithm can be generalized to find alias-free sampling frequency intervals. Simulations will be given to demonstrate the usefulness of the proposed method.
A New Iterative Algorithm for Finding the Minimum Sampling Frequency of MultiBand Signals
(2010-10-01)
Lin, Yuan-Pei
;
Liu, Yi-De
;
Phoong, See-May
;
電控工程研究所
;
Institute of Electrical and Control Engineering
In this correspondence, we propose a new iterative algorithm for finding the minimum sampling frequency of a signal that consists of multiple bandpass signals. This finds important application in software radio where it is desirable to downconvert multiple bandpass signals simultaneously. We will derive a new set of conditions for alias-free sampling. The minimum sampling frequency can be found by iteratively increasing the sampling frequency to meet the alias-free conditions. We will show how the algorithm can be generalized to find alias-free sampling frequency intervals. Simulations will be given to demonstrate the usefulness of the proposed method.
AN ITERATIVE ALGORITHM FOR FINDING THE MINIMUM SAMPLING FREQUENCY FOR TWO BANDPASS SIGNALS
(2009)
Lin, Yuan-Pei
;
Liu, Yi-De
;
Phoong, See-May
;
電控工程研究所
;
Institute of Electrical and Control Engineering
In this paper, we propose an efficient algorithm for finding the minimum sampling frequency for a signal that consists of two bandpass signals. This has important application in software radio where it is desirable to downconvert multiple bandpass signals simultaneously. We will derive a new set of conditions for alias-free sampling that can be checked with few computations. The minimum sampling frequency can be found by iteratively increasing the sampling frequency to meet the alias-free conditions. We will demonstrate that the proposed method has a much lower complexity than previously reported algorithms.
FINDING THE MINIMUM SAMPLING FREQUENCY OF MULTI-BRAND SIGNALS: AN EFFICIENT ITERATIVE ALGORITHM
(2010)
Lin, Yuan-Pei
;
Liu, Yi-De
;
Phoong, See-May
;
電控工程研究所
;
Institute of Electrical and Control Engineering
In this paper, we propose an efficient iterative algorithm for finding the minimum sampling frequency for a signal that consists of multiple bandpass signals. This finds important application in software radio where it is desirable to down-convert multiple bandpass signals simultaneously. We will derive a new set of conditions for alias-free sampling for signals that contain multi-band signals. The conditions can be easily examined with few computations. The minimum sampling frequency can be found by iteratively increasing the sampling frequency can be found by iteratively increasing the sampling frequency to meet the alias-free conditions. The simulations demonstrate that the proposed method required a much lower complexity than existing algorithms.