Signal processing: Difference between revisions

Revision as of 17:53, 20 October 2024

Revision as of 21:07, 21 November 2024

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''Analog discrete-time signal processing'' is a technology based on electronic devices such as [[sample and hold]] circuits, analog time-division [[multiplexer]]s, [[analog delay line]]s and [[analog feedback shift register]]s. This technology was a predecessor of digital signal processing (see below), and is still used in advanced processing of gigahertz signals.<ref>{{cite web |url=https://microwavelab.nd.edu/research/analog-signal-processing/ |title=Microwave & Millimeter-wave Circuits and Systems |access-date=2024-10-20}}</ref>

The concept of discrete-time signal processing also refers to a theoretical discipline that establishes a mathematical basis for digital signal processing, without taking [[quantization error]] into consideration.<!--[[User:Kvng/RTH]]-->

===Digital===

{{main|Digital signal processing}}

Digital signal processing is the processing of digitized discrete-time sampled signals. Processing is done by general-purpose [[computer]]s or by digital circuits such as [[ASIC]]s, [[field-programmable gate array]]s or specialized [[digital signal processor]]s (DSP chips). Typical arithmetical operations include [[Fixed-point arithmetic|fixed-point]] and [[floating-point]], real-valued and complex-valued, multiplication and addition. Other typical operations supported by the hardware are [[circular buffer]]s and [[lookup table]]s. Examples of algorithms are the [[fast Fourier transform]] (FFT), [[finite impulse response]] (FIR) filter, [[Infinite impulse response]] (IIR) filter, and [[adaptive filter]]s such as the [[Wiener filter|Wiener]] and [[Kalman filter]]s.<!--[[User:Kvng/RTH]]-->

===Nonlinear===