Podcast #128: We chat with Kent C Dodds about why he loves React and discuss what life was like in the dark days before Git. Listen now.

Tags

A tag is a keyword or label that categorizes your question with other, similar questions. Using the right tags makes it easier for others to find and answer your question.

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any form of signal processing for which the input is an image, such as a photograph or video frame.
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a numerical computing environment and a fourth-generation programming language. Use this tag with care.. see excerpt.
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an efficient algorithm to compute the discrete Fourier transform (DFT) and its inverse.
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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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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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The frequency spectrum of a time-domain signal is a representation of that signal in the frequency domain.
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In signal processing noise can be considered random unwanted data without meaning.
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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 process of designing a filter.
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the reduction of a continuous-domain signal to a discrete-domain signal.
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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 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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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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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 number of cycles (of the signal) per second.
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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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a wave-like oscillation with an amplitude that starts out at zero, increases, and then decreases back to zero.
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covers signal processing where input is an image, such as a photograph or video frame and the output could be an improved or altered image, parameters related to the image or information abou…
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an electronic filter that passes low-frequency signals but attenuates signals with frequencies higher than the cutoff frequency.
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the distribution of signal power over frequencies.
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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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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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filters with a finite duration impulse response.
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a method expressed in a finite list of steps of well-defined instructions to process a signal.
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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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the cross-correlation of a signal with itself.
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a property of signal processing systems.
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a cross-platform library of programming functions for real time computer vision.
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requesting help with school homework. This lets potential answerers know that they should guide the student in solving the problem, rather than simply showing the complete …
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a mathematical representation of relationship between input and output (signal) of a linear, time-invariant system.
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its output when presented with a brief input signal, called an impulse.
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a mathematical method using noisy measurements observed over time to produce values that tend to be closer to the true values of the measurements and their associated calculated v…