Digital signal processing (DSP) is the field of signal processing dedicated to the study and processing of digital signals. The three main fields in DSP are: digital audio, speech, and image processing.
Since most signals originate from the real-world as analog and continuous signals, the first step is usually to convert the signal from an analog to a digital form, by using an analog to digital converter. Often, the required output signal will be another analog output signal, which requires a digital to analog converter.
The algorithms required for DSP are sometimes performed using specialized computers, which make use of specialized microprocessors called digital signal processors (also abbreviated DSP). These process signals in real time and if they are purpose-designed they are called Application Specific Integrated Circuits (ASICs).
Applications[]
The main applications of DSP are audio signal processing, audio compression, digital image processing, video compression, speech processing, speech recognition and digital communications. Specific examples are speech compression and transmission in digital mobile phones, equalisation of sound in Hifi equipment, weather forecasting, economic forecasting, seismic data processing, analysis and control of industrial processes, computer-generated animations in movies, medical imaging such as CAT scans and MRI, image manipulation, and digital effects for use with electric guitar amplifiers. A further application is very low frequency (VLF) reception with a PC soundcard [1].
See also[]
- Automatic control
- Computer Science
- Data compression
- Electrical engineering
- Information theory
- Seismic Data Processing
- Telecommunication
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