Digital signal processing (DSP) is the use of digital processing, such as by computers or more specialized digital signal processors, to perform a wide variety of signal processing operations. ... DSP is applicable to both streaming data and static (stored) data.
- What is digital signal processing used for?
- How does digital signal processing work?
- What are the types of signal processing?
- What is DSP architecture?
What is digital signal processing used for?
DSP is used primarily in arenas of audio signal, speech processing, RADAR, seismology, audio, SONAR, voice recognition, and some financial signals. For example, Digital Signal Processing is used for speech compression for mobile phones, as well as speech transmission for mobile phones.
How does digital signal processing work?
Digital Signal Processing converts signals from real world sources (usually in analog form) into digital data that can then be analyzed. Analysis is performed in digital form because once a signal has been reduced to numbers, its components can be isolated and manipulated in more detail than in analog form.
What are the types of signal processing?
Application fields
- Audio signal processing – for electrical signals representing sound, such as speech or music.
- Image processing – in digital cameras, computers and various imaging systems.
- Video processing – for interpreting moving pictures.
What is DSP architecture?
A digital signal processor (DSP) is a specialized microprocessor chip, with its architecture optimized for the operational needs of digital signal processing. ... The goal of a DSP is usually to measure, filter or compress continuous real-world analog signals.