In systems science, a sampled-data system is a control system in which a continuous-time plant is controlled with a digital device. Under periodic sampling, the sampled-data system is time-varying but also periodic; thus, it may be modeled by a simplified discrete-time system obtained by discretizing the plant. However, this discrete model does not capture the inter-sample behavior of the real system, which may be critical in a number of applications. The analysis of sampled-data systems incorporating full-time information leads to challenging control problems with a rich mathematical structure. Many of these problems have only been solved recently. (Wikipedia).
Quantization and Coding in A/D Conversion
http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. Real sampling systems use a limited number of bits to represent the samples of the signal, resulting in quantization of the signal amplitude t
From playlist Sampling and Reconstruction of Signals
Frequency Domain Interpretation of Sampling
http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. Analysis of the effect of sampling a continuous-time signal in the frequency domain through use of the Fourier transform.
From playlist Sampling and Reconstruction of Signals
Sampling Distributions of Means
This is an old video. See StatsMrR.com for access to hundreds of 1-3 minute, well-produced videos for learning Statistics. In this older video: Understanding and working with sampling distributions of means. Calculating the mean and standard deviation and the probability associated with
From playlist Older Statistics Videos and Other Math Videos
Reconstruction and the Sampling Theorem
http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. Analysis of the conditions under which a continuous-time signal can be reconstructed from its samples, including ideal bandlimited interpolati
From playlist Sampling and Reconstruction of Signals
Introduction to Sampling and Reconstruction
http://AllSignalProcessing.com for free e-book on frequency relationships and more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files. Introduction to the analysis of converting between continuous and discrete time forms of a signal using s
From playlist Sampling and Reconstruction of Signals
What is a Sampling Distribution?
Intro to sampling distributions. What is a sampling distribution? What is the mean of the sampling distribution of the mean? Check out my e-book, Sampling in Statistics, which covers everything you need to know to find samples with more than 20 different techniques: https://prof-essa.creat
From playlist Probability Distributions
Equivalent Analog Filtering (c)
http://AllSignalProcessing.com for more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files. Studies the equivalent analog filter corresponding to sampling a signal, applying a discrete-time filter, and reconstructing a continuous-time signa
From playlist Sampling and Reconstruction of Signals
Practical DSP and Oversampling
http://AllSignalProcessing.com for more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files. Limitations of analog anti-aliasing and anti-imaging filters motivate a practical digital filtering approach in which high rates are used for sampli
From playlist Sampling and Reconstruction of Signals
http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. Practical requirements for an analog anti-aliasing filter to bandlimit continuous-time signals before sampling.
From playlist Sampling and Reconstruction of Signals
2. Data Collection Techniques and Program Design
MIT 1.258J Public Transportation Systems, Spring 2017 Instructor: Nigel Wilson, Gabriel Sanchez-Martinez, Neema Nassir View the complete course: https://ocw.mit.edu/1-258JS17 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP62AU7iNniqVoMl8C64tIOVk This lecture discussed
From playlist MIT 1.258J Public Transportation Systems, Spring 2017
GTAC 2015: Statistical Data Sampling
http://g.co/gtac Slides: https://docs.google.com/presentation/d/1zAgKXFOQn02PVik9b4YkV0ZJ2wJIaGAf5oFY_dUyDD8/pub Celal Ziftci (Google) and Ben Greenberg (MIT graduate student) It is common practice to use a sample of production data in tests. Examples are: * Sanity Test: Feed a sample o
From playlist GTAC 2015
PROGRAM: Nonlinear filtering and data assimilation DATES: Wednesday 08 Jan, 2014 - Saturday 11 Jan, 2014 VENUE: ICTS-TIFR, IISc Campus, Bangalore LINK:http://www.icts.res.in/discussion_meeting/NFDA2014/ The applications of the framework of filtering theory to the problem of data assimi
From playlist Nonlinear filtering and data assimilation
Measure Phase In Six Sigma | Six Sigma Training Videos
🔥 Enrol for FREE Six Sigma Course & Get your Completion Certificate: https://www.simplilearn.com/six-sigma-green-belt-basics-skillup?utm_campaign=SixSigma&utm_medium=DescriptionFirstFold&utm_source=youtube Introduction to Measure Phase: The Measure phase is the second phase in a six sigm
From playlist Six Sigma Training Videos [2022 Updated]
DSI | AI-Enabled Innovations in Validation of Sanitation and Detection of Pathogens by Nitin Nitin
Food safety is one of the leading public health issues that continue to be a significant challenge for the food industry and consumers. These issues are critical for the minimally processed food products such as the fresh produce industry. Sanitation is a critical control step for the safe
From playlist DSI Virtual Seminar Series
Stanford Seminar - Incorporating Sample Efficient Monitoring into Learned Autonomy
January 20, 2023 Rachel Luo of Stanford University When deploying machine learning models in high-stakes robotics applications, the ability to detect unsafe situations is crucial. Warning systems are thus designed to provide alerts when an unsafe situation is imminent (in the absence of c
From playlist Stanford AA289 - Robotics and Autonomous Systems Seminar
Competition-Level Code Generation with AlphaCode (Paper Review)
#ai #alphacode #deepmind AlphaCode is an automated system that can solve competitive programing exercises. The authors found an interesting combination of language models, large-scale sampling, and clever techniques to filter and subsequently cluster the resulting programs, which lets the
From playlist Papers Explained
Process of Auditing Information Systems - Part 2 | CISA Training Videos
Knowledge of the evidence collection techniques (e.g., observation, inquiry, inspection, interview, data analysis, forensic investigation techniques, computer - assisted audit techniques[CAATs]) used to gather, protect and preserve audit evidence. This Means your Audit findings must be su
From playlist CISA Training Videos
DeepSec 2011: Behavioral Security: 10 steps forward 5 steps backward
Speaker: Sourabh Satish Sourabh Satish explores the approach to behavioural security and talked about it at the DeepSec 2011 security conference: "Rule-based behavioral security has been talked about for decades BUT is it really the silver bullet solution to the malware problem? We don't
From playlist DeepSec 2011
Six Sigma Full Course | Six Sigma Explained | Six Sigma Green Belt Training | Simplilearn
🔥Green Belt Certification Training Course: https://www.simplilearn.com/quality-management/lean-six-sigma-green-belt-training?utm_campaign=SixSigma-KfFez57ay6E&utm_medium=Descriptionff&utm_source=youtube 🔥Post Graduate Program In Lean Six Sigma: https://www.simplilearn.com/pgp-lean-six-sigm
From playlist Simplilearn Free Courses [2022 Updated]
Mean of Grouped Frequency Tables
"Calculate mean from grouped frequency tables."
From playlist Data Handling: Frequency Tables