Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Quizes
Exercises
Publications
Startups
Units
Show all results for
Home
Lecture
Frame Synchronization: Systematic Derivation with Likelihood Test
Graph Chatbot
Related lectures (51)
Basics of Linear Regression
Log in to Mediaspace to watch this video
Covers the basics of linear regression, including OLS estimators, hypothesis testing, and confidence intervals.
Maximum Likelihood Estimation: Econometrics
Log in to Mediaspace to watch this video
Introduces Maximum Likelihood Estimation in econometrics, covering principles, properties, applications, and specification tests.
Statistical Independence and Correlation: Understanding Gauss Functions
Log in to Mediaspace to watch this video
Explores statistical independence, correlation, Gauss functions, likelihood estimation, and Gaussian Mixture Models for clustering.
Wireless Receivers: Parameter Estimation
Log in to Mediaspace to watch this video
Covers the challenges and techniques of parameter estimation in wireless receivers.
Stochastic Processes and Spectral Densities
Log in to Mediaspace to watch this video
Covers spectral densities, signal correlations, and white noise processes in stochastic systems.
Elements of Statistics: Probability, Distributions, and Estimation
Log in to Mediaspace to watch this video
Covers probability theory, distributions, and estimation in statistics, emphasizing accuracy, precision, and resolution of measurements.
Signal Processing: Correlation and Spectral Density
Log in to Mediaspace to watch this video
Delves into correlation and spectral density of signals, explaining their significance and applications.
Signal Processing Fundamentals
Log in to Mediaspace to watch this video
Explores signal processing fundamentals, including discrete time signals, spectral factorization, and stochastic processes.
Covariance of Differenced Measurements
Log in to Mediaspace to watch this video
Explores the concept of covariance in differenced measurements and correlation between observations.
How to Lie with Statistics
Log in to Mediaspace to watch this video
Explores scientific misconduct, p-value optimization, and spotting issues with conclusions using real-world examples.
Stationarity in Stochastic Processes
Log in to Mediaspace to watch this video
Explores stationarity in stochastic processes, showcasing how statistical characteristics remain constant over time and the implications on random variables and Fourier transforms.
Wireless Receivers: Time and Phase Offset Compensation
Log in to Mediaspace to watch this video
Covers the impact of time and phase offset in wireless receivers and discusses compensation techniques.
Types of Variables and Multinomial Distribution
Log in to Mediaspace to watch this video
Introduces types of variables, multinomial distribution, data characteristics, shapes of densities, correlation, and data visualization methods.
Wireless Receivers: OFDM
Log in to Mediaspace to watch this video
Covers the fundamentals of Orthogonal Frequency Division Multiplexing (OFDM) in wireless communication systems.
Geometric Expansion of Crom-Conrelation
Log in to Mediaspace to watch this video
Explores the geometric expansion of the crom-conrelation, focusing on mathematical formulas and correlation analysis.
Robust Statistics: Break Points and Correlation Analysis
Log in to Mediaspace to watch this video
Explores break points in statistics and the nuances of correlation analysis.
Experimental Design in Biostatistics
Log in to Mediaspace to watch this video
Introduces experimental design in biostatistics, covering research process, hypothesis testing, ANOVA modeling, and interpretation of results.
Heterodiffusion in Solids
Log in to Mediaspace to watch this video
Explores heterodiffusion, including electrolyte diffusion in liquids and solids, autodiffusion, and factors influencing diffusion rates.
Stochastic Simulation: Fundamentals
Log in to Mediaspace to watch this video
Introduces stochastic simulation fundamentals, covering course organization, queueing models, finance, statistics, physics, and exam details.
Supervised Learning Fundamentals
Log in to Mediaspace to watch this video
Introduces the fundamentals of supervised learning, including loss functions and probability distributions.
Previous
Page 2 of 3
Next