Howtosignalprocessing
- Is signal processing deep learning?
- What is the difference between signal processing and machine learning?
- Is signal processing still relevant?
- Is NLP considered deep learning?
Is signal processing deep learning?
Signal Processing is a branch of electrical engineering that models and analyzes data representations of physical events. It is at the core of the digital world. And now, signal processing is starting to make some waves in deep learning.
What is the difference between signal processing and machine learning?
We see that machine learning can do what signal processing can, but has inherently higher complexity, with the benefit of being generalizable to different problems. The signal processing algorithms are optimal for the job in terms of complexity, but are specific to the particular problems they solve.
Is signal processing still relevant?
Analog signal processing is still relevant for many real world applications and is always the first step even when sampling and discretizing the signal for further digital processing.
Is NLP considered deep learning?
No. Deep learning algorithms do not use NLP in any way. NLP stands for natural language processing and refers to the ability of computers to process text and analyze human language. Deep learning refers to the use of multilayer neural networks in machine learning.
