Lectures related to Signal Sampling: Interpolation

Covers the concepts of analog, discrete, and digital signals, sampling times, frequencies, and pulses.

Explores ideal sampling, Fourier transformation, spectral repetition, and analog signal reconstruction.

Covers the least squares method for approximating data and handling errors.

Explores interpolation of regular functions, error analysis, convergence, and Chebyshev polynomials.

Covers the sampling theorem, impulse train sampling, bandlimited signals, and the Nyquist rate.

Covers the Newton method for finding zeros of functions using data interpolation.

Explores modeling and interpolation techniques in geomatics for accurate surface generation.