REVISITING REVIEWS ON DIGITAL SIGNAL PROCESSING

In Electrical/Computer Engineering (ECE), Computer Science, and other Engineering/Science disciplines, digital signal processing (DSP) is a significant and increasing topic field. Telecommunications, consumer electronics, robotics, instrumentation, military, and automotive are only a few of the fields where it can be seen. The authors have taught an undergraduate DSP course at Western Michigan University (WMU) since the 1980s and began providing graduate courses in the 1990s. Despite the fact that DSP has become increasingly common among ECE students and the rising DSP job market, the topic remains challenging and complicated for students. In order to reduce the complexity of interpreting the theoretical DSP, the writers at WMU increased the learning environment for their students by incorporating hands-on experience to their class offerings. Digital signal processing (DSP) methods are used in the automation industry all over the world to reduce noise and interruption, as well as turn, make decisions, and monitor activities. The frequency-domain representation of a signal is favoured over the time-domain representation by engineers and researchers in the area, according to this paper, which first discusses analogue and digital signals in basic terms. Spectrum analyzers are used to derive frequency-domain information from a time-domain input signal during signal spectrum analysis. Digital signals are commonly used since modern digital microprocessors and/or microcontrollers can manage and manipulate them more effectively. The first phase in digitization is to sample an analogue signal. The analogue signal must be sampled using the sampling principle in order to reproduce the initial signal from its sampled equivalent. The aim of this paper is to provide a summary of digital signal processing (DSP) techniques for speech signals, including their implementations, benefits, and drawbacks. Computer machines and related digital hardware were massive and costly around four decades ago, and their applications were small. As a result of the rapid developments in this area, digital computers and integrated circuit fabrications profit. For all signal processing issues in DSP, some changes are still needed. DSP is concerned with the propagation of electromagnetic signals through a transmission medium, and it is being used for the first time with speech processing issues.