Array processing

array signal processingarrays
Array processing: signal processing is a wide area of research that extends from the simplest form of 1-D signal processing to the complex form of M-D and array signal processing.wikipedia
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Signal processing

signal analysissignalsignal processor
Array processing: signal processing is a wide area of research that extends from the simplest form of 1-D signal processing to the complex form of M-D and array signal processing.
Array processing – for processing signals from arrays of sensors

Estimation theory

parameter estimationestimationestimated
Estimation theory is an important and basic part of signal processing field, which used to deal with estimation problem in which the values of several parameters of the system should be estimated based on measured/empirical data that has a random component.

Radar

radar stationradarsradar system
Array processing is used in radar, sonar, seismic exploration, anti-jamming and wireless communications.

Sonar

asdicvariable depth sonaractive sonar
Array processing is used in radar, sonar, seismic exploration, anti-jamming and wireless communications.

Wireless

wireless communicationwireless communicationswireless internet
Array processing is used in radar, sonar, seismic exploration, anti-jamming and wireless communications.

Direction of arrival

direction-of-arrival
The problems associated with array processing include the number of sources used, their direction of arrivals, and their signal waveforms.

Waveform

waveformswave formWave
The problems associated with array processing include the number of sources used, their direction of arrivals, and their signal waveforms.

Signal-to-interference-plus-noise ratio

signal-to-interference and noise ratio (SINR)signal-to-interference-and-noisesignal-to-interference-plus-noise
Enhance the signal to noise ratio SNR "signal-to-interference-plus-noise ratio (SINR)".

Communication theory

communicationcommunication theoristcommunications theory
Communication can be defined as the process of exchanging of information between two or more parties.

MUSIC (algorithm)

MUltiple SIgnal ClassificationMUSICMUSIC (Multiple Signal Classification)
The tremendous interest in the subspace based methods is mainly due to the introduction of the MUSIC (Multiple Signal Classification) algorithm.

Discrete Fourier transform

DFTcircular convolution theoremFourier transform
By using Discrete Fourier Transform (DFT) it is possible to analyze signals in the time domain as well as in the spectral domain.

Big O notation

Obig-O notationΘ
A FX correlator has an advantage over a XF correlators in that the computational complexity is O(N 2 ).

Michelson interferometer

Michelsonlaser interferometerlaser interferometers
Correlation spectrometers like the Michelson interferometer vary the time lag between signals obtain the power spectrum of input signals.

Phased array

phased array radarphased-arrayphased-array radar
Phased array

Matched filter

matched filteringmatched-filteringNorth filters
Matched filter

Time reversal signal processing

TRMs are also known as time reversal mirror arrays, as they are usually arrays of transducers, but they do not have to be arrays.

Björn Ottersten

He has made contributions in array signal processing and wireless communications and has received many notable awards in these areas.

Parallel multidimensional digital signal processing

The use of mD-DSP is fundamental to many application areas such as digital image and video processing, medical imaging, geophysical signal analysis, sonar, radar, lidar, array processing, computer vision, computational photography, and augmented and virtual reality.

Kung Yao

Kung Yao (born November 24, 1938) is a Distinguished Professor Emeritus in the Electrical Engineering Department of UCLA known for his contributions in Communication Theory, Signal and array processing, and Systolic algorithms...