Howtosignalprocessing
- Is DSP subject tough?
- What math is used in DSP?
- What are the topics in DSP?
- What is DSP in electronics?
Is DSP subject tough?
As a general rule, digital signal processing is considered hard by many because of the mathematical theory involved. However, most experts agree that once you use DSP in real-world applications, students find DSP easier. I remember my Digital Signal Processing classes at my university.
What math is used in DSP?
Mathematics and physics of the underlying processes need to be understood, modeled and finally controlled. To be able to perform these tasks, some knowledge of trigonometric functions, complex numbers, complex analysis, linear algebra, and statistical methods is required.
What are the topics in DSP?
DSP applications include audio and speech processing, sonar, radar and other sensor array processing, spectral density estimation, statistical signal processing, digital image processing, data compression, video coding, audio coding, image compression, signal processing for telecommunications, control systems, ...
What is DSP in electronics?
Digital Signal Processors (DSP) take real-world signals like voice, audio, video, temperature, pressure, or position that have been digitized and then mathematically manipulate them. A DSP is designed for performing mathematical functions like "add", "subtract", "multiply" and "divide" very quickly.
