Review in Advanced Signal Processing

This article explains that digital signal processing (DSP) is the use of digital processing systems by computers to perform various signal processing operations. These numerical values of the digital signal are intended to increase the quality and effects of the signals. Digital signal processing (DSP) can include linear or non-linear operators to process and analyze input signals. Nonlinear DSP processing is closely related to nonlinear system detection and can be implemented in time, frequency, and space-time domains. The purpose of this article is to familiarize with the application of signal processing. The current method of statistical population research is sampling and virtual space tools, validation and final check and detection by which advanced signal processing has been investigated. And the findings are DSP applications in the system. control, digital image processing, medical engineering, speech recognition systems, industrial engineering, health care systems, radar signal processing and telecommunication systems. The results indicate that advanced methods and various applications of DSP have been investigated in this research so that the interesting research presented will lead to the scientific and research progress of future generations.

Keywords:

Signal processing , speech recognition , processing