In many signal processing applications it is crucial to estimate the power spectral density (PSD) of a given discrete-time signal. Examples of the use of PSD are vocal-track modeling, radar systems, antenna array, sonar systems, synthesis of speech and music, just to name a few. Data is available abundantly in today’s world. In this article, Archana Iyer discusses some filter processing techniques that can help us get a better quality of data. However, it is noisy most of the time. Applications of Signal Processing in Machine Learning. What can you do with digital signal processors? With the advent of IoT, many types of medical data are now available in the form of sensor data.

DSPs bring computing performance, real-time processing, and power efficiency to diverse applications ranging from sensors to servers. Look below for solutions on a variety of DSP applications.

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