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.
In general, image processing is any form of signal processing for which the input is an image, such as a photograph or video frame.
MATLAB (MATrix LABoratory) is a numerical computing environment and a fourth-generation programming language. Use this tag with care.. see excerpt.
The fast Fourier transform is an efficient algorithm to compute the discrete Fourier transform (DFT) and its inverse.
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.
A discrete signal or discrete-time signal is a time series consisting of a sequence of quantities.
The Fourier transform is a mathematical operation that decomposes a function into its constituent frequencies, known as a frequency spectrum.
Audio, or in terms of signal processing, an audio signal is an analog or digital representation of sound, typically as an electrical voltage.
Digital Communication is the physical transfer of data (a digital bit stream) over a point-to-point or point-to-multipoint communication channel.
The frequency spectrum of a time-domain signal is a representation of that signal in the frequency domain.
Fiter design is the process of designing a filter.
In signal processing noise can be considered random unwanted data without meaning.
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 …
In signal processing, sampling is the reduction of a continuous-domain signal to a discrete-domain signal.
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…
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.
Computer vision includes methods of processing, analyzing, images and high-dimensional data to form high level understanding and recognition of the scene or images.
Frequency in signal processing is the number of cycles (of the signal) per second.
The Power Spectral Density (PSD) is the distribution of signal power over frequencies.
A continuous signal or a continuous-time signal is a varying quantity (a signal) whose domain, which is often time, is a continuum.
A low-pass filter is an electronic filter that passes low-frequency signals but attenuates signals with frequencies higher than the cutoff frequency.
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…
A finite impulse response (FIR) filter is a type of a signal processing filter whose impulse response is of finite duration.
A wavelet is a wave-like oscillation with an amplitude that starts out at zero, increases, and then decreases back to zero.
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…
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…
The Z-transform converts a discrete time-domain signal, which is a sequence of real or complex numbers, into a complex frequency-domain representation.
Infinite impulse response (IIR) is a property of signal processing systems.
Transfer function is a mathematical representation of relationship between input and output (signal) of a linear, time-invariant system.
Autocorrelation is the cross-correlation of a signal with itself.
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.
Algorithm is a method expressed in a finite list of steps of well-defined instructions to process a signal.
The impulse response of a dynamic system is its output when presented with a brief input signal, called an impulse.
In signal processing, estimation is a technique for approximating an unobserved signal from an observed signal containing noise.