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  2. Finite impulse response - Wikipedia

    en.wikipedia.org/wiki/Finite_impulse_response

    The result is a finite impulse response filter whose frequency response is modified from that of the IIR filter. Multiplying the infinite impulse by the window function in the time domain results in the frequency response of the IIR being convolved with the Fourier transform (or DTFT) of the window function. If the window's main lobe is narrow ...

  3. Parks–McClellan filter design algorithm - Wikipedia

    en.wikipedia.org/wiki/Parks–McClellan_filter...

    The Parks–McClellan algorithm, published by James McClellan and Thomas Parks in 1972, is an iterative algorithm for finding the optimal Chebyshev finite impulse response (FIR) filter. The Parks–McClellan algorithm is utilized to design and implement efficient and optimal FIR filters.

  4. Impulse response - Wikipedia

    en.wikipedia.org/wiki/Impulse_response

    Showing, from top to bottom, the original impulse, the response after high frequency boosting, and the response after low frequency boosting. In signal processing and control theory, 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 (δ(t ...

  5. FIR transfer function - Wikipedia

    en.wikipedia.org/wiki/FIR_Transfer_function

    h() is a transfer function of an impulse response to the input. The convolution allows the filter to only be activated when the input recorded a signal at the same time value. This filter returns the input values (x(t)) if k falls into the support region of function h. This is the reason why this filter is called finite response.

  6. Infinite impulse response - Wikipedia

    en.wikipedia.org/wiki/Infinite_impulse_response

    Impulse invariance is a technique for designing discrete-time infinite-impulse-response (IIR) filters from continuous-time filters in which the impulse response of the continuous-time system is sampled to produce the impulse response of the discrete-time system. Impulse invariance is one of the commonly used methods to meet the two basic ...

  7. Nonrecursive filter - Wikipedia

    en.wikipedia.org/wiki/Nonrecursive_filter

    In mathematics, a nonrecursive filter only uses input values like x[n − 1], unlike recursive filter where it uses previous output values like y[n − 1].. In signal processing, non-recursive digital filters are often known as Finite Impulse Response (FIR) filters, as a non-recursive digital filter has a finite number of coefficients in the impulse response h[n].

  8. BIBO stability - Wikipedia

    en.wikipedia.org/wiki/BIBO_stability

    For a rational and continuous-time system, the condition for stability is that the region of convergence (ROC) of the Laplace transform includes the imaginary axis.When the system is causal, the ROC is the open region to the right of a vertical line whose abscissa is the real part of the "largest pole", or the pole that has the greatest real part of any pole in the system.

  9. Filter (signal processing) - Wikipedia

    en.wikipedia.org/wiki/Filter_(signal_processing)

    A general finite impulse response filter with n stages, each with an independent delay, d i and amplification gain, a i. Digital signal processing allows the inexpensive construction of a wide variety of filters. The signal is sampled and an analog-to-digital converter turns the signal into a stream of numbers.