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Electronic dispersion compensation (EDC) of intermodal dispersion on short multimode fiber (MMF) links operating at 40 Gb/s is investigated through system level simulations and the design of two analog integrated circuit (IC) equalizers. System simulations using worst-case MMF link models show the effectiveness of a 2-tap baud spaced finite impulse response (FIR) equalizer for 40-m links, and a second-order Tbaud/2 infinite impulse response (IIR) equalizer for 50-m links. An IIR filter topology suitable for IC implementation with double loops and multiple delay sections was developed. The 2-tap FIR and the IIR equalizer are implemented in UMC 0.13-um and STM 90-nm CMOS processes respectively. Measurements demonstrate the FIR and IIR equalizing 38-Gb/s and 30-Gb/s cable channels respectively. To the author's knowledge, the double-loop multi-delay IIR equalizer is the first integrated traveling-wave equalizer utilizing poles as a means of frequency boosting, contrasting the conventional FIR technique of utilizing zeros.

Electronic dispersion compensation (EDC) of intermodal dispersion on short multimode fiber (MMF) links operating at 40 Gb/s is investigated through system level simulations and the design of two analog integrated circuit (IC) equalizers. System simulations using worst-case MMF link models show the effectiveness of a 2-tap baud spaced finite impulse response (FIR) equalizer for 40-m links, and a second-order Tbaud/2 infinite impulse response (IIR) equalizer for 50-m links. An IIR filter topology suitable for IC implementation with double loops and multiple delay sections was developed. The 2-tap FIR and the IIR equalizer are implemented in UMC 0.13-um and STM 90-nm CMOS processes respectively. Measurements demonstrate the FIR and IIR equalizing 38-Gb/s and 30-Gb/s cable channels respectively. To the author's knowledge, the double-loop multi-delay IIR equalizer is the first integrated traveling-wave equalizer utilizing poles as a means of frequency boosting, contrasting the conventional FIR technique of utilizing zeros.

The Finite-Difference Time-Domain Method (FDTD) is a very powerful numerical method for the full wave analysis electromagnetic phenomena. Due to its flexibility, it can be used to solve numerous electromagnetic scattering problems on microwave circuits, dielectrics, and electromagnetic absorption in biological tissue at microwave frequencies. However, it needs so much computation time to simulate microwave integral circuits by applying the FDTD method. If the structure we simulated is complicated and we want to obtain accurate frequency domain scattering parameters, the simulation time will be so much longer that the efficiency of simulation will be bad as well. Therefore, in the thesis, we introduce an artificial neural networks (ANN) method called ¡§Infinite Impulse Response Neural Networks (IIRNN)¡¨ can speed up the FDTD simulation time. In order to boost the efficiency of the FDTD simulation time by stopping the simulation after a sufficient number of time steps and using FIRNN as a predictor to predict time series signal.