To achieve this, companies like Texas Instruments have developed specialized microprocessor chips that are optimized for the task of digital signal processing.ĭigital signal processing technology is used wherever there is a need to compress, measure, or filter audio or another type of signal. This typically requires the DSP to perform a large number of simple mathematical functions (addition, subtraction, multiplication, division, and the like) within a fixed or constrained time frame. The general function of a DSP is to measure, compress, or filter an analog signal. Visual images, sound waves, and even seismic waves can all act as inputs for digital signal processing. DSP technology enables the processing and manipulation of sensory data obtained from a variety of real-world sources. What is Digital Signal Processing (DSP)?ĭigital signal processing, or DSP, is a powerful technology with applications in many areas of science, engineering, health care, and communications. We'll look at typical components, the key differences between analog and digital signals and the most common use cases for DSP. In this blog post, we explore some of the technology behind digital signal processing. DSP technology uses specially designed programs and algorithms to manipulate analog signals and produce a signal that is higher-quality, less prone to degradation or easier to transmit. Digital signal processing (DSP) represents an exciting area of computer science and a world of possibilities for engineers designing new embedded system products.
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