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Abstrak :
Analisis domain frekuensi dapat memberikan informasi karakteristik antena yang cukup kompak, baik untuk parameter gain terhadap frekuensi, parameter pola radiasi terhadap frekuensi, maupun impedansi masukan terhadap frekuensi. Namun demikian, dalam aplikasi dimana waktu atau ruang menjadi perhatian utama, analisis domain waktu menjadi sangat penting, terutama untuk aplikasi GPR, penentuan waktu pantul dan profil range dari pencitraan target memerlukan bantuan analisis domain waktu / ruang. Dalam paper ini, akan dipaparkan teori klasik karakterisasi sistem dalam domain waktu, kemudian dipaparkan permodelan matematik untuk penerapannya pada karakterisasi antena Bowtie ujung Sirkuler yang bekerja pada frekuensi 1 ? 2 GHz. Dari hasil pengukuran respon impuls ternormalisasi, diperoleh kesimpulan bahwa antena Bowtie yang telah diimplementasikan ini memiliki respon impuls ternormalisasi yang baik dengan ringing yang kecil, sehingga sesuai untuk aplikasi GPR.

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Time Domain Characterization of 1-2 GHz Circular-ended Bowtie Antenna Using Normalizad Impulse Response. Frequency domain analysis is a powerful and compact tool for characterizing the antenna parameters such as gain, radiation pattern and the impedance as a function of frequency. However, if time or space is a major concern, such as in the GPR appication, the time domain analysis would be a very important tool due to their unique capability for determining the echo delay and range profile of target image. In this paper, we will describe the classical theory of system characterization in time domain, and then also propose the mathematical model for characterizing the 1 ? 2 GHz circular-ended Bowtie antenna. From the measurement results, we concluded that the implemented Bowtie antenna has good normalized impulse response with very small ringing, so it is suitable for GPR applications.

Abstrak :
The following broad topics will be covered in the book : synchronization, phase-locking behavior, image processing, image segmentation, temporal pattern analysis, EEG analysis, fMRI analyis, network topology and synchronizability, cortical interactions involving synchronization, and oscillatory neural networks. This book will benefit readers interested in the topics of computational neuroscience, applying neural network models to understand brain function, extracting temporal information from brain imaging data, and emerging techniques for image segmentation using oscillatory networks