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Digital Signal Processing is a monthly peer-reviewed open access scientific journal covering all areas of signal processing. It as established in 1991 and published by Academic Press, now Elsevier. The editor-in-chief is Ercan E. Kuruoglu (ISTI-CNR, Pisa, Italy).
This category contains journals with a focus on signal processing. Pages in category "Signal processing journals" The following 4 pages are in this category, out of 4 total.
Signal processing is an electrical engineering subfield that focuses on analyzing, modifying and synthesizing signals, such as sound, images, potential fields, seismic signals, altimetry processing, and scientific measurements. [1]
Digital signal processing (DSP) is the study of signals in a digital representation and the processing methods of these signals. DSP and analog signal processing are subsets of signal processing . It has three major subfields: audio signal processing , digital image processing and speech processing .
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 ...
Processing digital signals, particularly multidimensional signals, often involves a series of vector operations on massive numbers of independent data samples, GPGPUs are now widely employed to accelerate multidimensional DSP, such as image processing, video codecs, radar signal analysis, sonar signal processing, and ultrasound scanning.
The term is much more commonly used in digital media and digital signal processing.The most widely used transform coding technique in this regard is the discrete cosine transform (DCT), [1] [2] proposed by Nasir Ahmed in 1972, [3] [4] and presented by Ahmed with T. Natarajan and K. R. Rao in 1974. [5]
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.