Asymmetric Numeral Systems (ANS) - Data Compression Lecture 7
Explore Asymmetric Numeral Systems (ANS), an advanced data compression technique, in this Stanford lecture. Gain insights into its principles, applications, and advantages in modern compression algorithms.
Harmony: Chords and How to Build Them - Lecture 7
Explore harmony in Western music: chord formation, progressions, and modulation. Develop listening skills to identify harmonic changes across diverse musical styles.
Engineering Mathematics
Explora matemáticas avanzadas en ingeniería mecánica, desde ODEs y sistemas dinámicos hasta transformadas de Fourier y Laplace, con aplicaciones prácticas en Matlab y análisis de sistemas no lineales.
Getting Started in Cryo-EM
Comprehensive introduction to cryo-electron microscopy, covering theory, equipment, sample preparation, data collection, and analysis techniques for various biological imaging applications.
Networks, Signals and Systems
Comprehensive exploration of network theory, signals, and systems, covering elements, parameters, transforms, frequency response, synthesis, graph theory, impedance, filters, and Fourier series.
Probability & Random Variables
Comprehensive exploration of probability theory, random variables, and stochastic processes, covering fundamental concepts to advanced topics like spectral analysis and adaptive filtering.
Quantum Mechanics and Applications
Explore quantum mechanics fundamentals, including wave-particle duality, Schrödinger equation, and applications in atomic physics. Develop problem-solving skills for quantum systems.
Quantum Mechanics and Applications
In this course, you will learn Basic mathematical preliminaries: Dirac Delta function and Fourier Transforms. Wave-particle duality, one- and three-dimensional Schrodinger equation. The free particle problem in one dimension. Wave Packets and Group veloc…
Digital Signal Processing
The course covers lessons in digital signal processing. Topics include Discrete-Time Signal and System, Frequency Domain Representation of Discrete Signals, z-Transform, Solution of Difference Equation, Tutorial on Discrete-Time Signals and their Transfo…
Signals and Systems
This course is a study of signals and systems, covering topics: formal definition of 'signal' and 'system', continuous and discrete signals, continuous and discrete-time systems, Linear Time-Invariant (LTI) systems, representation of continuous and discr…
Principles of Signals and Systems
This course introduces the fundamental principles of signals and system analysis. These concepts form the building blocks of modern digital signal processing, communication and control systems. Hence, a sound understanding of these principles is necessar…
Estimation of Signals and Systems
This course covers lessons on probability theory, random variables, mean and variance, linear signal models, z-transform, Kalman filter, variants of least squares estimation, and estimation problems in instrumentation and control.
Signals and Systems
Comprehensive exploration of signal processing fundamentals, covering continuous and discrete-time systems, Fourier and Laplace transforms, sampling theory, and Z-transforms for practical applications.
Transform Calculus and Its Applications in Differential Equations
Comprehensive exploration of integral transforms, focusing on Laplace and Fourier transforms, their properties, and applications in solving differential equations and boundary value problems.
Computer Algorithms - 2
The course discusses efficient algorithms from a large number of domains. This course assumes the knowledge of data structures, the knowledge big-O notation and the concept of time and space complexity of an algorithm.
Computation in Natural Systems - Mesoscopic Theories and Information Processing
Explore computation in natural systems, from primate behavior to physics, examining how information processing occurs across scales and the implications for understanding complex systems.
Minimal End-to-end Thermodynamic Costs of Communication Channels
Explore the thermodynamic costs of communication channels, examining minimal end-to-end requirements and their implications for information transfer efficiency.
Topology Shapes Dynamics of Higher-order Networks
Exploring how higher-order network interactions influence non-linear dynamics, synchronization, and percolation in complex systems like brain networks and climate patterns.
Digital Signal Processing
This course will introduce you to the basics of discrete-time sequences, z-transform, frequency response of discrete-time systems, sampling, and the DFT.
Foundations of Wavelets and Multirate Digital Signal Processing
Explore wavelets and multirate digital signal processing, covering Haar wavelets, filter banks, and Fourier transforms. Gain practical skills through demonstrations on function approximation and image processing.
Digital Signal Processing and Its Applications
Explore digital signal processing fundamentals, including sampling, Fourier transforms, discrete systems, filters, and various transform techniques. Gain practical skills in filter design and implementation.