Context: In signal processing, the impulse response, or impulse response function (IRF), of a dynamic system is its output when presented with a brief input signal, called an impulse. More generally, an impulse response is the reaction of any dynamic system in response to some external change. In both cases, the impulse response describes the reaction of the system as a function of time (or possibly as a function of some other independent variable that parameterizes the dynamic behavior of the system)., In signal processing, a digital filter is a system that performs mathematical operations on a sampled, discrete-time signal to reduce or enhance certain aspects of that signal. This is in contrast to the other major type of electronic filter, the analog filter, which is an electronic circuit operating on continuous-time analog signals., Infinite impulse response (IIR) is a property applying to many linear time-invariant systems. Common examples of linear time-invariant systems are most electronic and digital filters. Systems with this property are known as "IIR systems" or "IIR filters", and are distinguished by having an impulse response which does not become exactly zero past a certain point, but continues indefinitely. This is in contrast to a finite impulse response (FIR) in which the impulse response "h"("t") "does" become exactly zero at times "t" > "T" for some finite "T", thus being of finite duration., In signal processing , a finite impulse response ( FIR ) filter is a filter whose impulse response ( or response to any finite length input ) is of finite duration , because it settles to zero in finite time . This is in contrast to infinite impulse response ( IIR ) filters , which may have internal feedback and may continue to respond indefinitely ( usually decaying ) . The impulse response ( that is , the output in response to a Kronecker delta input ) of an Nth - order discrete - time FIR filter lasts exactly N + 1 samples ( from first nonzero element through last nonzero element ) before it then settles to zero . FIR filters can be discrete - time or continuous - time , and digital or analog ., Information is that which informs. In other words, it is the answer to a question of some kind. It is thus related to data and knowledge, as data represents values attributed to parameters, and knowledge signifies understanding of real things or abstract concepts. As it regards data, the information's existence is not necessarily coupled to an observer (it exists beyond an event horizon, for example), while in the case of knowledge, the information requires a cognitive observer., Signal processing is an enabling technology that encompasses the fundamental theory, applications, algorithms, and implementations of processing or transferring information contained in many different physical, symbolic, or abstract formats broadly designated as "signals". It uses mathematical, statistical, computational, heuristic, and linguistic representations, formalisms, and techniques for representation, modelling, analysis, synthesis, discovery, recovery, sensing, acquisition, extraction, learning, security, or forensics., Subject: finite impulse response, Relation: subclass_of, Options: (A) being (B) case (C) change (D) duration (E) electronic circuit (F) electronic filter (G) event (H) feedback (I) filter (J) heuristic (K) information (L) invariant (M) property (N) question (O) representation (P) security (Q) signal (R) time (S) type
Output: electronic filter