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The fast Fourier transform is an efficient algorithm to compute the discrete Fourier transform (DFT) and its inverse.
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In general, image processing is any form of signal processing for which the input is an image, such as a photograph or video frame.
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MATLAB (MATrix LABoratory) is a numerical computing environment and a fourth-generation programming language. Use this tag with care.. see excerpt.
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In signal processing, a filter is a device or process that transforms a signal by selectively choosing specific frequencies and leaving others with appropriate gain or as it is.
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A discrete signal or discrete-time signal is a time series consisting of a sequence of quantities.
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The processing of signals for the purpose of extracting a parameter or property embedded in a signal. Signal goes in and far fewer numbers come out.
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The Fourier transform is a mathematical operation that decomposes a function into its constituent frequencies, known as a frequency spectrum.
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Audio, or in terms of signal processing, an audio signal is an analog or digital representation of sound, typically as an electrical voltage.
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Digital Communication is the physical transfer of data (a digital bit stream) over a point-to-point or point-to-multipoint communication channel.
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The frequency spectrum of a time-domain signal is a representation of that signal in the frequency domain.
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Python is a high-level interpreted general programming language. Python has popular numerical and scientific libraries/packages, most notably numpy and scipy. The scipy.signal package is a powerful …
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In signal processing noise can be considered random unwanted data without meaning.
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In signal processing, sampling is the reduction of a continuous-domain signal to a discrete-domain signal.
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The Discrete Fourier Transform (DFT) is a mapping between a finite set of discrete points in a (primal) domain (time, space) and the dual frequency domain. DFT requires an input sequence which is di…
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Convolution is a mathematical operation on two functions f and g, producing a third function that is typically viewed as a modified version of one of the original functions.
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The Power Spectral Density (PSD) is the distribution of signal power over frequencies.
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Computer vision includes methods of processing, analyzing, images and high-dimensional data to form high level understanding and recognition of the scene or images.
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A continuous signal or a continuous-time signal is a varying quantity (a signal) whose domain, which is often time, is a continuum.
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Frequency in signal processing is the number of cycles (of the signal) per second.
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A finite impulse response (FIR) filter is a type of a signal processing filter whose impulse response is of finite duration.
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A low-pass filter is an electronic filter that passes low-frequency signals but attenuates signals with frequencies higher than the cutoff frequency.
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A linear system operates on inputs with only linear operators so the response to a complex input can be analysed as the sum of the response to a set of simpler inputs. This mathematical property makes…
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A quantity representing the fraction of cycle of a periodic signal, usually represented as an angle.
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A wavelet is a wave-like oscillation with an amplitude that starts out at zero, increases, and then decreases back to zero.
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Modulation is the process of varying one or more properties of a high-frequency periodic waveform, called the carrier signal, with the amplitude of low-frequence modulating signal which typically cont…
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Infinite impulse response (IIR) is a property of signal processing systems.
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The Z-transform converts a discrete time-domain signal, which is a sequence of real or complex numbers, into a complex frequency-domain representation.
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Transfer function is a mathematical representation of relationship between input and output (signal) of a linear, time-invariant system.
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Frequency response is the quantitative measure of the output spectrum of a system or device in response to a stimulus, and is used to characterize the dynamics of the system.
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The impulse response of a dynamic system is its output when presented with a brief input signal, called an impulse.
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Autocorrelation is the cross-correlation of a signal with itself.
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Algorithm is a method expressed in a finite list of steps of well-defined instructions to process a signal.
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In signal processing, estimation is a technique for approximating an unobserved signal from an observed signal containing noise.
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