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pro vyhledávání: '"Sheng-Shian Wang"'
Autor:
Sheng-shian Wang, 王聖憲
96
In this thesis, a CPW-fed wideband circularly polarized antenna is proposed to provide wide impedance and axial ratio bandwidths simultaneously. The antenna is designed and implemented for the 3-GHz WiMAX access points. The measured 10-dB ret
In this thesis, a CPW-fed wideband circularly polarized antenna is proposed to provide wide impedance and axial ratio bandwidths simultaneously. The antenna is designed and implemented for the 3-GHz WiMAX access points. The measured 10-dB ret
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/63736901208201217382
Autor:
Sheng-Shian Wang, 王聖賢
95
Weighted polynomial regression of degree d with weight function Exp(α x) on an interval is considered. The D-optimal designs ξ_d^* are completely characterized via three differential equations. Some invariant properties of ξ_d^* under affi
Weighted polynomial regression of degree d with weight function Exp(α x) on an interval is considered. The D-optimal designs ξ_d^* are completely characterized via three differential equations. Some invariant properties of ξ_d^* under affi
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/37177007908335198393
Autor:
Sheng-Shian Wang, 王聖賢
90
A popular combination in modern coding system is the convolutional encoder and the Viterbi decoder. With a proper design, they can jointly provide an acceptable performance with feasible decoding complexity. In such a combination, a tradeoff
A popular combination in modern coding system is the convolutional encoder and the Viterbi decoder. With a proper design, they can jointly provide an acceptable performance with feasible decoding complexity. In such a combination, a tradeoff
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/51384700433312044187
Publikováno v:
Metrika. 70:339-354
Weighted polynomial regression with exponential weight function on an interval is considered. The D-optimal designs are completely characterized via three differential equations. Some invariant properties of the optimal designs under affine transform