Digital Signal Processing Applications
Digital Signal Processing (DSP) is the use of mathematical algorithms to manipulate digital signals such as audio, video, or other data streams. It involves techniques for analyzing, filtering, modifying, and synthesizing digital signals to improve their quality, extract useful information, or compress them for efficient storage or transmission. DSP is used in a wide range of applications, including audio and video processing, telecommunications, biomedical signal processing, radar and sonar systems, and control systems. Some common DSP operations include: Filtering: removing unwanted noise or interference from a signal using techniques such as low-pass, high-pass, band-pass, or notch filtering. Compression: reducing the amount of data needed to represent a signal while preserving its essential features. Fourier analysis: breaking down a signal into its frequency components using the Fourier transform, which can be used for spectral analysis, filtering, and modulation. Modulation: ch