Digital Signal Processing (DSP) is a field of study that focuses on the manipulation of digital signals. These signals can be anything from audio to video, and DSP techniques are used to improve the quality of these signals, extract information from them, and even create new signals.
Key Concepts
- Sampling: The process of converting a continuous-time signal into a discrete-time signal.
- Quantization: The process of representing the amplitude of a signal with a finite number of levels.
- Filtering: The process of removing unwanted components from a signal, such as noise or unwanted frequencies.
Applications
DSP has a wide range of applications, including:
- Audio Processing: Used in audio equipment to improve sound quality and remove noise.
- Image Processing: Used in digital cameras to enhance image quality and remove noise.
- Communication Systems: Used to improve the quality of transmitted signals and to decode signals received over noisy channels.
Further Reading
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