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Lecture
Signal Representations
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Related lectures (32)
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Fourier Transform and Convolution Product in Signal Processing
Explores the Fourier transform, convolution product, and their applications in signal processing.
Relationships between transforms
Explores the relationships between various transforms and signal embedding techniques.
Digital Filters: Implementation and Analysis
Explores digital filters' implementation, cyclic convolution, FFT-based filtering, and the importance of filtering in signal processing.
Signal Representations: Wavelet Analysis
Covers wavelet analysis and signal representations using orthonormal bases.
Signals, Instruments, and Systems
Explores signals, instruments, and systems, covering ADC, Fourier Transform, sampling, signal reconstruction, aliasing, and anti-alias filters.
Signals and Systems: Sampling Theorem and Applications
Discusses the sampling theorem and its applications in signal processing.
Frequency Response Analysis: Linear Systems and Filters
Covers the frequency response of linear systems and filter design principles.
Frequency Estimation (Theory)
Covers the theory of numerical methods for frequency estimation on deterministic signals, including Fourier series and transform, Discrete Fourier transform, and the Sampling theorem.
Spectral Estimation Methods
Explores parametric spectrum estimation methods, including line and smooth spectra, and delves into heart rate variability analysis.
Image Processing II: Optimal Transforms and Applications
Explores optimal transforms, image applications, linear algebra, and 2nd-order statistics in image processing.
