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.
The fast Fourier transform is an efficient algorithm to compute the discrete Fourier transform (DFT) and its inverse.
MATLAB (MATrix LABoratory) is a numerical computing environment and a fourth-generation programming language. Use this tag with care.. see excerpt.
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 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.
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.
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 noise can be considered random unwanted data without meaning.
Fiter design is the process of designing a filter.
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.
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.
Frequency in signal processing is the number of cycles (of the signal) per second.
A finite impulse response (FIR) filter is a type of a signal processing filter whose impulse response is of finite duration.
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 quantity representing the fraction of cycle of a periodic signal, usually represented as an angle.
A wavelet is a wave-like oscillation with an amplitude that starts out at zero, increases, and then decreases back to zero.
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…
Infinite impulse response (IIR) is a property of signal processing systems.
The Z-transform converts a discrete time-domain signal, which is a sequence of real or complex numbers, into a complex frequency-domain representation.
Transfer function is a mathematical representation of relationship between input and output (signal) of a linear, time-invariant system.
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.
The impulse response of a dynamic system is its output when presented with a brief input signal, called an impulse.
Autocorrelation is the cross-correlation of a signal with itself.
Algorithm is a method expressed in a finite list of steps of well-defined instructions to process a signal.
In signal processing, estimation is a technique for approximating an unobserved signal from an observed signal containing noise.