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Signal processing is a numerical analysis technique that combines math in electrical engineering to represent information. Measurable phenomena that can create a numerical signal can be analyzed, modified, synthesized, and interpreted through signal processing. Examples of signal processing measurement technology include electrocardiograms and other biological measurement equipment, oscilloscopes for sound, seismographs for seismic activity, financial charts, and other tools that depict numerical values that represent a signal along a linear scale.
Signal processing is used in speech recognition, video processing, image processing, wireless communications, process control, financial forecasting, genomics, audio processing, and a variety of additional fields. Additional processes can be added to signal processors to modify or control information that is depicted, including filters and noise reduction technology in efforts to create a better signal. These additional processes can result in a clearer audio recording or to get a better image of the factors that are causing some problems with a system.
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College signal processing tutoring can focus on the precise needs you have. Courses may differ between universities, but a signal processing tutor can look at the course curriculum and customize sessions based on the information you will be expected to understand. A tutor can also assess your current understanding of the discipline as well as your learning tendencies to fill learning gaps using a teaching approach that works best for you.
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