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Study of Stream Processing Paradigm for Restricting Parallel Computation as an Application Used in Computer Science and Electronics Engineering

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Pages:24-25
Manjit Thapa and Bhubneshwar Sharma (Department of Computer Science and Engineering, Eternal University, H.P. and Department of Electronics and Communication Engineering, Eternal University, H.P.)

In this present research paper we are going to discuss stream processing application used to eliminate manual DMA management in turns reduce software complexity.DSPs bring speed and power to diverse applications, including voice, audio, consumer, biometrics, aerospace, defense.Major task of DSP is usually to measure, filter and/or compress continuous real-world analog signal digital signal processing can be used for linear or nonlinear operations. Nonlinear signal processing concerned with nonlinear system identification and can be implemented in the time, frequency, and spatial-temporal domains.

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Pages:24-25
Manjit Thapa and Bhubneshwar Sharma (Department of Computer Science and Engineering, Eternal University, H.P. and Department of Electronics and Communication Engineering, Eternal University, H.P.)