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What is digital signal processing
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Related lectures (30)
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Sampling and Reconstruction Theory
Covers the concepts of analog, discrete, and digital signals, sampling times, frequencies, and pulses.
Quantum Signal Processing
Covers IQ demodulation of noisy quantum signals using FPGA and MATLAB.
Electrical Metrology: Noise Reduction Techniques
Explores noise reduction techniques in electrical metrology, covering properties of charge, current, voltage, noise sources, and filtering methods.
Signals and Systems: Sampling Theorem and Applications
Discusses the sampling theorem and its applications in signal processing.
Basic Properties of Optical Detectors: Formalism and Characteristics
Discusses the fundamental properties and characteristics of optical detectors, including responsivity, quantum efficiency, and the impact of noise on detection limits.
Electrical Metrology
Explores different types of noise in electrical systems and their impact on electronic devices.
Noise in Electronics
Introduces the fundamentals of noise in electronics, covering origins, signal types, power characteristics, and noise sources.
Smart Sensors for the IoT: ADCs Fundamentals
Explores ADCs fundamentals for IoT smart sensors, covering quantization, non-idealities, and topologies.
Signal Processing: Filtering and Noise Reduction
Explores signal-to-noise ratio, filtering noisy signals, and power spectral density for noise reduction in signal processing.
Signals & Systems I: Introduction and Signal Processing
Covers introductory lessons on signals and systems, signal processing, and practical applications like image compression and multimedia.
