Time–frequency representation

Related lectures (30)

Covers the main properties of time-frequency domain signals and their limitations.

Explores the representation of signals as vectors, projection theorem, orthogonal functions, and examples.

Explores signals, instruments, and systems, covering ADC, Fourier Transform, sampling, signal reconstruction, aliasing, and anti-alias filters.

Explores Fourier filtering principles, applications in image processing, and efficient FFT implementation.

Explores phase-locked loops and lock-in amplifiers in electrical metrology, along with digital sampling oscilloscopes and spectrum analyzers.

Explores expressing signals in sinusoidal components and decomposing signals into different frequencies in the frequency domain.

Covers the basics of Fourier transform and its applications in analyzing various functions.

Explores upsampling in multirate signal processing, discussing sampling rate increase and frequency domain effects.

Covers the analysis of analog signals, complex impedance, and Fourier series in linear circuits.

Explores fractional delay, Hilbert filter, impulse response, and demodulation in signal processing.

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