Lecture

What is digital signal processing

Related lectures (30)

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

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.

Noise Reduction Techniques

Explores noise reduction techniques in electrical systems, covering concepts like Fourier transform, impedance matching, and dithering.

Phase-Locked Loops: Basics and Applications

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

Strategies to Combat Noise Sources

Covers strategies to combat noise sources in electronics measurements and explores techniques to mitigate noise and improve measurement accuracy.

Phase-Locked Loops: Applications and Principles

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

Sampling and Reconstruction

Covers the concepts of sampling and reconstruction in signal processing, emphasizing the importance of sampling frequency and reconstruction techniques.

Medical Front End Standards

Explores differences in front ends for medical devices and signal processing challenges.

Signal Sampling: Sampling

Explains signal sampling, the need for discrete sampling, errors, quantization, and choosing the right sampling period.

Noise and Measurements

Explores electronic, thermomechanical, and amplifier noise, calibration of amplitude, frequency tracking, and system limits.

Signals & Systems I: Micro-Systems and Communication Systems

Introduces the fundamentals of signals and systems, communication systems, and signal processing.

An Introduction to Signal Processing

Covers the fundamentals of signal processing, analog-digital conversion, and applications of ADCs and DACs in environmental engineering.