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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. It as established in 1991 and published by Academic Press, now Elsevier.
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 .
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]
His research interests are in the field of digital signal processing, particularly in sparse representation, sparse recovery, sampling, multi-rate systems, filter banks, transforms, wavelets, and their applications in signal analysis, compression, processing, and communications. His pioneering research on integer-coefficient transforms and pre ...
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 ...
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.
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.
A typical digital processing system. Digital signal processing (DSP) algorithms typically require a large number of mathematical operations to be performed quickly and repeatedly on a series of data samples. Signals (perhaps from audio or video sensors) are constantly converted from analog to digital, manipulated digitally, and then converted ...