Digital Filters
- SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)
he term filtering is used to denote the process of spectrum shaping either in the frequency domain or in the time domain. There are basically two different ways the filtering can be achieved. The more commonly used means is to use analog components like inductors, capacitors, amplifiers as the basic elements of the filter. Such filters are known as analog or continuous filters. Alternately, the signal processing can be done by using digital components like gates, flipflops as the basic elements. The latter type of filters are called the digital filters. In a continuous filter the input and output waveforms are continuous functions of time, whereas in a digital filter the input and output waveforms are sampled signals, i.e., discrete functions of time (see Figure 1). Strictly speaking, the term digital filter represents the "computational process or algorithm by which a sampled signal or a sequence of numbers is transformed into a desired sequence of numbers". This transformation is assumed to be a linear operation. Applications of digital filtering techniques include computer simulation of linear dynamic and continuous systems like speech communication systems, processing of data signals like geophysical data in a computer. It can be pointed out here that recent developments in monolithic integrated digital circuits indicate the possibility of eventual replacement of analog hardware by real time digital filtering systems of lower cost and size and of greater flexibility.
- Research Organization:
- SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC); US Atomic Energy Commission (AEC)
- DOE Contract Number:
- AC02-76SF00515
- OSTI ID:
- 1453885
- Report Number(s):
- SLAC-R--122; SLAC--122
- Country of Publication:
- United States
- Language:
- English
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