Concept

Digital signal processing

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Covers the properties of signal/data representations using Fourier transformations and matrices.

Signal Representation

Discusses signal representation, focusing on mathematical expressions and inequalities in signal processing.

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Explores the Discrete Fourier Transform applied to signals of unlimited duration using various windows for improved accuracy.

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Related lectures (32)

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Explores neural signals, EMG control, muscle synergies, and HD-EMG for prosthetic devices.

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Covers neural signals, brain enthusiasm, neuroimaging, and statistical analysis in neuroimaging studies.

Statistical Signal & Data Processing

Explores Statistical Signal & Data Processing fundamentals, tools, and applications in various fields.

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Covers the properties of signal/data representations using Fourier transformations and matrices.

Signal Representation

Discusses signal representation, focusing on mathematical expressions and inequalities in signal processing.

Neural Signals and Signal Processing

Delves into neural signals, GLM, ANOVA, brain mapping, connectivity, and multivariate methods.

Quantum Signal Processing

Covers IQ demodulation of noisy quantum signals using FPGA and MATLAB.

Neural Signals and Signal Processing

Explores neural signal processing for brain-computer interfaces, including decoding techniques like Kalman filters and spike sorting.

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Explores neural signals, EMG processing, muscle synergies, and prosthetic control using advanced signal processing techniques.

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Covers Fourier transform, sampling, reconstruction, Nyquist frequency, and ideal signal reconstruction.

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Explores GLM, statistical testing, neural signals, and signal processing, covering contrasts, multiple comparisons, F-tests, functional connectivity, resting-state fMRI, and multivariate methods.

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Explores IQ demodulation using FPGA and MATLAB for noisy quantum signals.

Fourier Transform and Sampling

Covers the Fourier transform of sampled signals, reconstruction, and harmonic response.

Discrete Fourier Transform: Unlimited Duration Signals

Explores the Discrete Fourier Transform applied to signals of unlimited duration using various windows for improved accuracy.

Neural Signals and Signal Processing

Explores nuclear magnetic resonance, MRI principles, pulse sequences, image reconstruction, safety considerations, and volume normalization in brain imaging.

Smart Sensors for the IoT: ADCs Fundamentals

Explores ADCs fundamentals for IoT smart sensors, covering quantization, non-idealities, and topologies.

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Explores Phase-Locked Loops, Lock-in Amplifiers, and Oscilloscopes in electrical metrology.

Neural Signals and Signal Processing: Hemodynamic Imaging

Explores hemodynamic imaging techniques to measure brain activity and understand brain structure and function.

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Explores linear regression from a statistical inference perspective, covering probabilistic models, ground truth, labels, and maximum likelihood estimators.

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