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Convolution plays a pivotal role in signal processing, allowing us to extract valuable information and uncover hidden patterns in ...

Unsure how to use the FFT to get meaningful results from your data? Join me as I unveil 3 crucial signal preparation tips to ensure ...

Unlock the power of meta-surfaces in RF and microwave engineering! In this in-depth video, we explore the theoretical ...

What does a windowing function do and why is it necessary? For a comprehensive and visually intuitive exploration of the Fourier ...

Keywords ### #artificialintelligence #convolutionalneuralnetwork #YOLOv5 #objectdetection #applepickingrobot #lightweight ...

Why do discrete time signals exhibit a repeating pattern in their frequency spectra? When we sample a signal, turning it into a ...

Interactive signal processing textbook with Jupyter Notebooks Paolo Prandoni, a research scientist at the audiovisual ...

We tend to think of the FFT as a one-stop shop for telling us which frequencies are present in a signal. However, if you don't ...

The output of the FFT is just a list of complex numbers. But, we are used to seeing the FFT of a signal represented as a graph of ...

The Fourier Transform only looks at the frequency response of a signal as a whole. It doesn't account for frequencies that come ...

Hey everyone, welcome to my video where I dive into the fascinating world of fuzzy logic and its application in ECG waveform ...

... to data-driven generation 2:02 - Biomedical signal analysis for Lissajous curve generation 2:15 - Signal processing with Fourier ...

Join me as I embark on building an interactive tool for exploring EEG data using Python! In this video, I delve into a Kaggle EEG ...

In this video, I share my experience with GPT-4 extracting data from a challenging paper. I attempted to use Matplotlib and Numpy ...

... the DFT (Discrete Fourier Transform) and the FT (Fourier Transform) and why the DFT is crucial for practical signal processing.

In this video, I explain how messages are transmitted over electromagnetic waves by altering their properties—a process known ...

What is the difference between the Fourier Series and the Fourier Transform? The difference is the type of signal they were ...

The Fourier Transform is everywhere, but what does it do and why is it so useful? Here is just one example of its many ...

In this video, I dive into the fascinating world of Event-Related Potentials (ERPs) using dynamic Python simulations and ...

If you've ever looked at the magnitude spectrum of a signal after performing an FFT, you'll notice that it is symmetrical about a very ...