Micowave Filters

Analog filters are commonly used in areas such as electronics, communications, controls and signal processing. It is desirable for engineers and students in these areas to have a sound understanding of basic filter theory. This book is intended to be an intermediate level treatise of this subject. It can be used either as a textbook in a course at either the undergraduate or graduate level, or as a reference for engineers who find it useful to have an introductory knowlege or a general overview of analog filters. It introduces the theory behind filter development and the design techniques commonly used in practice, including the application of standard software packages. Extensive use is made of MATLAB for examples and problem sets, allowing readers to acquire familiarity with the methods for designing filters with a modern software tool.

This book provides a quick but insightful introduction to Bayesian tracking and particle filtering for a person who has some background in probability and statistics and wishes to learn the basics of single-target tracking. It also introduces the reader to multiple target tracking by presenting useful approximate methods that are easy to implement compared to full-blown multiple target trackers.

This handbook is inspired by occasional questions from my stu­ dents and coworkers as to how they can obtain easily the best network functions from which they can complete their filter design projects to satisfy certain criteria. They don't need any help to design the filter. They need only the network function. It appears that this crucial step can be a bottleneck to designers. This handbook is meant to supply the information for those who need a quick answer to a simple question of this kind. There are three most useful basic standard low-pass magnitude characteristics used in filter design. These are the Butterworth, the Chebyshev, and the elliptic characteristics. The Butterworth charac­ teristic is maximally flat at the origin. The Chebyshev characteristic gives equal-ripple variation in the pass band. The elliptic character­ istic gives equal-ripple variation in both the pass band and the stop band. The Butterworth and the Chebyshev characteristics are fairly easy to use, and formulas for their parameters are widely available and fairly easy to apply. The theory and derivation of formulas for the elliptic characteristic, however, are much more difficult to handle and understand. This is chiefly because their original development made use of the Jacobian elliptic functions, which are not familiar to most electrical engineers. Although there are several other methods of developing this characteristic, such as the potential analogy, the Chebyshev rational functions, and numerical techniques, most filter designers are as unfamiliar with these methods as they are with the elliptic functions.