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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).
He is an IEEE Fellow [4] and was co-editor-in-chief of the Elsevier journal Digital Signal Processing. In early 2010 the "Fred Harris Endowed Chair in Digital Signal Processing" fund was established by Eric Johnson and Qualcomm executive Peggy Johnson. The fund is described to encourage and enable future students to pursue careers in the ...
The IEEE Signal Processing electronic Library (SPeL) is a comprehensive digital library and electronic collection of more than 50 years of the IEEE Signal Processing Society's periodicals, which includes all four transactions and letters, newsletters, magazines, and technical proceedings of the two major Society conferences and of most ...
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 ...
The publications of the Institute of Electrical and Electronics Engineers (IEEE) constitute around 30% of the world literature in the electrical and electronics engineering and computer science fields, [citation needed] publishing well over 100 peer-reviewed journals. [1]
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 .
Linear predictive coding (LPC) is a method used mostly in audio signal processing and speech processing for representing the spectral envelope of a digital signal of speech in compressed form, using the information of a linear predictive model. [1] [2] LPC is the most widely used method in speech coding and speech synthesis.
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.