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Digital Filters: Principles and Applications with MATLAB (IEEE Series on Digital & Mobile Communication)

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The history of digital filters essentially began in the mid - 1970s, concurrent with the advent of the fi eld of study called digital signal processing (DSP). Over the ensuing 30 something years, digital filters have become both a facilitating and enabling technology. They serve as analog replacements as well as serving in unique DSP roles in a host of application domains including communications, control, defense, audio, biomedicine, geophysics, radar, entertainment, and others. I have been blessed to be able to witness and participate in all of these phases of digital fi lter evolution.

A digital filter is a device that can modify the attributes of a signal using digital means. Required filter attributes can be assumed or defined in terms of published standards that specify amplitude and phase behavior as a function of frequency. Besides altering a signal’ s attributes, digital fi lters must often meet a host of other constraints such as speed, complexity, power consumption, cost, and other factors. In the pantheon of digital filters, the majority are identifi ed as being finite impulse response (FIR), infi nite impulse response (IIR), or multirate systems. The book’ s primary goal is to provide the needed understanding of both design and analysis strategies as they apply to mainstream digital filters.

In the normal course of an engineer’ s career, regardless of their disciplinary training, they will be called upon to design or analyze a mainstream fi lter. Unfortunately, many engineers and technologists have little to no formal digital fi lter experience. Fortunately, today’ s workplace is abundant with fi lter design software packages with various levels of sophistication. One of the leaders in this fi eld is Mathwork’ s MATLAB ™ . Today, both practicing engineers and students of engineering exhibit a growing reliance on these tools with MATLAB being a de facto standard. However, after observing how these tools are being used in the workplace and classroom, concerns arise in that users are often overwhelmed with a plethora of fi lter design options, often developing a fi lter solution that may not be best for the target application. In addition, users often have insufficient experience or understanding of fi lter theory to be able to make even minor enhancements to a MATLAB - produced fi lter outcome. This too is a motivation for developing this book, which elevates the reader’ s understanding of how to characterize a digital fi lter, to make proper design choices, and to enhance a computer - generated design into a well - crafted outcome.
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