By Mikhail Cherniakov
Because the Sixties electronic sign Processing (DSP) has been some of the most extensive fields of analysis in electronics. notwithstanding, little has been produced particularly on linear non-adaptive time-variant electronic filters.
* the 1st e-book to be devoted to Time-Variant Filtering
* presents an entire creation to the idea and perform of 1 of the subclasses of time-varying electronic structures, parametric electronic filters and oscillators
* offers many examples demonstrating the appliance of the techniques
An essential source for pro engineers, researchers and PhD scholars desirous about electronic sign and snapshot processing, in addition to postgraduate scholars on classes in desktop, electric, digital and comparable departments.
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Extra resources for An Introduction to Parametric Digital Filters and Oscillators
Hence, during filter design, poles can occupy only a fixed number of possible positions inside the unit circle. Consequently, we can approximate a desired frequency response with a finite accuracy that directly depends on coefficient word length. In the relatively simple case of a digital resonator we can evaluate, for example, how the minimal filter bandwidth depends on the number of bits. 0312. For a narrowband filtering, it is important to have accurate resonance frequency adjustment. The displacement should be usually much less than the resonator bandwidth.
For n ≥ 1 there is only one pole z1 = b. 3 TIME–INVARIANT DISCRETE LINEAR SYSTEMS For discrete linear systems (DLSs), a principle of superposition is valid, which is a criterion of system linearity. Assume that at the system input there is a signal x1 (n) and that at the output there is a signal y1 (n). For input signal x2 (n) there will be output signal y2 (n), and so on. A system is said to be time-invariant if a time shift in TIME–INVARIANT DISCRETE LINEAR SYSTEMS 17 the input signal leads to an identical time shift in the output signal.
Detailed analysis of this problem can be found in  and other sources. We will consider in brief here how the word length limitation affects parameters of digital resonators. Restriction of the maximum bit number (Lb ) in a filter’s coefficients (a1 and a2 in this case) simply means that the coefficients can have only a limited number of discrete values. Hence, during filter design, poles can occupy only a fixed number of possible positions inside the unit circle. Consequently, we can approximate a desired frequency response with a finite accuracy that directly depends on coefficient word length.
An Introduction to Parametric Digital Filters and Oscillators by Mikhail Cherniakov