Explores the convolution theorem, DTFT reconstruction, frequency response effects, and signal building.
Covers the Fourier transform, its properties, applications in signal processing, and differential equations, emphasizing the concept of derivatives becoming multiplications in the frequency domain.
Covers convolutional neural networks, filter operations, and their applications in signal processing and image analysis.
Covers the analysis of LTI communication systems through Fourier transforms and system stability.
Explores the geometric interpretation of filter responses and the challenges of achieving causal filters in real-time signal processing.
Explores various noise reduction techniques, including impedance matching, temperature reduction, and bandwidth reduction.
