Understanding Windowing in Signal Processing 🎶

Explains the role of Windowing in signal processing, starting with an example of basic audio compression.

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Related videos: (see http://www.iaincollings.com)
• Why is Windowing Needed in Digital Signal Processing? https://youtu.be/PQc9DXdV0Xg
• Convolution in the Time Domain is Equivalent to Multiplication in the Frequency Domain https://youtu.be/Ex318cCXSBM
• Why are Sinc and Square a Fourier Transform Pair? https://youtu.be/ZcTWLwXGql0
• Convolution of Square with Rectangle https://youtu.be/xVbONyYEipU
• Sampling Signals https://youtu.be/AcuQnIXiZ2A
• How does the Discrete Fourier Transform DFT relate to Real Frequencies? https://youtu.be/pIFz84oj9cA
• What is the Fourier Transform? https://youtu.be/G74t5az6PLo
• What is the Fourier Transform used for? https://youtu.be/VtbRelEnms8
• Fourier Transform Equation Explained https://youtu.be/8V6Hi-kP9EE
• Why do Periodic Signals have Discrete Frequency Spectra? https://youtu.be/wA3VXyl9xVg
• Discrete Time Basis Functions https://youtu.be/P7q2YMQiat8
• How are the Fourier Series, Fourier Transform, DTFT, DFT, FFT, LT and ZT Related? https://youtu.be/2kMSLqAbLj4
• What is a Discrete Fourier Transform (DFT) and an FFT? https://youtu.be/BPf_pw_1Mg4
• Discrete / Fast Fourier Transform DFT / FFT of a Sinusoid Signal https://youtu.be/lwQTNcWtN7w

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