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Digital signal processing (DSP) is the use of digital processing, such as by computers or more specialized digital signal processors, to perform a wide variety of signal processing operations. The digital signals processed in this manner are a sequence of numbers that represent samples of a continuous variable in a domain such as time, space ...
A digital signal processor (DSP) is a specialized microprocessor chip, with its architecture optimized for the operational needs of digital signal processing. [ 1 ] : 104–107 [ 2 ] DSPs are fabricated on metal–oxide–semiconductor (MOS) integrated circuit chips.
Digital signal processing is the processing of digitized discrete-time sampled signals. Processing is done by general-purpose computers or by digital circuits such as ASICs , field-programmable gate arrays or specialized digital signal processors .
A digital signal is an abstraction that is discrete in time and amplitude. The signal's value only exists at regular time intervals, since only the values of the corresponding physical signal at those sampled moments are significant for further digital processing. The digital signal is a sequence of codes drawn from a finite set of values. [10]
A digital signal consists of a sequence of samples, which in this case are integers: 4, 5, 4, 3, 4, 6... In the context of digital signal processing (DSP), a digital signal is a discrete time, quantized amplitude signal. In other words, it is a sampled signal consisting of samples that take on values from a discrete set (a countable set that ...
In signal processing, a digital filter is a system that performs mathematical operations on a sampled, discrete-time signal to reduce or enhance certain aspects of that signal. This is in contrast to the other major type of electronic filter , the analog filter , which is typically an electronic circuit operating on continuous-time analog signals .
Download as PDF; Printable version ... move to sidebar hide. In signal processing, overlap–save is the ... Theory and application of digital signal processing.
Parallel abstract computer models such as PRAM have been proposed to describe complexity for parallel algorithms such as mD signal processing algorithms. [ 15 ] Another factor that is important to the performance of mD-DSP algorithm implementations is the resulting energy consumption and power dissipation.