Everything Important About Operational Amplifiers (Op Amps)
Comprehensive guide to operational amplifiers: functionality, parameters, measurements, and practical applications, including inverting/non-inverting configurations, bandwidth, noise, stability, and pH measurement.
The Discrete Fourier Transform - Fundamentals and Applications
Explore the Discrete Fourier Transform, its inverse, formula, and matrix form in this concise tutorial, gaining insights into signal processing and frequency analysis.
When the Fourier Transform is One Loop Exact?
Explore the conditions for one-loop exactness of Fourier transforms in mathematical physics, examining implications for quantum field theory and statistical mechanics.
Timely Computation - A Formal Approach to Digital Circuit Design
Explore a formal definition of digital circuits, emphasizing compositional correctness and timing analysis through simple denotations and homomorphisms in Agda.
Visualising Digital Modulation: ASK, FSK, BPSK, DPSK, QPSK and QAM
Explore digital modulation formats with visual waveform examples for ASK, FSK, BPSK, DPSK, QPSK, and QAM, enhancing understanding of signal transmission techniques.
Introduction to Software Defined Radio for Offensive and Defensive Operations
Overview of Software Defined Radio for security professionals, covering basics to advanced tactics for adversary emulation. Learn quick SDR operations and explore offensive and defensive applications.
Physics-Assisted Multi-Robot Exploration
Explore cutting-edge techniques for multi-robot systems using physics-assisted approaches to enhance exploration and coordination in complex environments.
Model-Based Deep Learning in Signal Processing and Communications
Explore model-based deep learning applications in signal processing and communications with expert Nir Shlezinger in this IEEE Signal Processing Society webinar.
Coding Adventure: Sound and the Fourier Transform
Explore sound and the Fourier Transform through coding experiments, learning to break down signals into component frequencies and implementing the Discrete Fourier Transform.
Covariance and Subspace Inference: Handling Robustness, Variability and Heterogeneity
Explore covariance matrix inference and PCA for non-regular data, covering mixed effects models, Gaussian assumptions, outlier handling, and applications in radio-interferometry calibration and imaging.
Dynamical Sampling and Frames
Explore dynamical sampling in signal recovery, covering space-time sampling, system identification, and source term problems. Gain insights into emerging challenges in this field.
Lippmann Photography: The Art and Science of Multispectral Imagery
Explore Lippmann photography's multispectral imaging principles, analyzing its spectrum reflection, algorithmic recovery, and modern applications in data storage and science communication.
Looking Back and Ahead in a Spiral
Explore the cyclical nature of scientific progress with Stéphane Mallat's insightful analysis of past discoveries and future directions in mathematics and physics.
Building a Music Assessment Engine: Requirements, Challenges, and Solutions
Explore requirements, challenges, and solutions for building a music assessment engine, including technical limitations and performance demonstrations on real-life data.
Practical Digital Signal Processing Workshop
Explore digital audio signal processing, from continuous acoustic to discrete digital signals. Learn sampling theory, filtering, and time-frequency domain transformations through practical methods and hands-on exercises.
Optimizing Wireless Communications: Time-Reversal Mirrors to Reconfigurable Intelligent Metasurfaces
Explore revolutionary Reconfigurable Intelligent Surfaces (RIS) for enhancing communication efficiency and reducing energy consumption across microwaves, sound, and optics. Learn about smart mirrors solving multipath interference and signal scattering ch…
The Legacy of Rudolph Kalman - Systematic Approaches to Data-Driven Predictive Modeling
Explore Rudolph Kalman's groundbreaking work on data-driven mathematical modeling and its impact on fields like space control, weather prediction, and AI. Gain insights into optimization and iteration concepts.
Aliasing and Oversampling for DSP Engineers
Explore aliasing distortion, oversampling techniques, and their impact on audio software development. Learn when and how to implement oversampling effectively.
Detecting Periodicity with the Discrete Fourier Transform
Discover how to detect sequence periodicity and find periods using the Discrete Fourier Transform in this informative video on signal processing concepts.
Introduction to Linear and Nonlinear Networks
Explore small signal analysis techniques for linear and nonlinear networks, enhancing your understanding of circuit behavior and analysis methods.
Small Signal Analysis of Nonlinear Networks
Analyze nonlinear networks using small signal techniques. Gain insights into circuit behavior and performance optimization.