Sound vs. Noise: What’s the Actual Difference? (Part 1 of 3)
Noise and sound are not the same thing… really, they aren’t! What exactly is noise? Part 2 of 3 - https://youtu.be/XhFhK97hrdY Part 3 of 3 - https://youtu.be/yTyYZFcxGGQ Read More: Signal-to-Noise Ratio and Why It Matters https://www.lifewire.com/signal-to-noise-ratio-3134701 “You
From playlist Seeker Plus
Analysis of Quantization Error
http://AllSignalProcessing.com for more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files. Modeling quantization error as uncorrelated noise. Signal to quantization noise ratio as a function of the number of bits used to represent the sign
From playlist Sampling and Reconstruction of Signals
Physics - Mechanics: Sound and Sound Waves (9 of 47) Decibel Scale Conversion
Visit http://ilectureonline.com for more math and science lectures! In this video I will show you how to convert from decibel to W/m^2 and vice versa.
From playlist PHYSICS MECHANICS 5: WAVES, SOUND
Physics - Mechanics: Sound and Sound Waves (36 of 47) Intensity of Sound Wave 2
Visit http://ilectureonline.com for more math and science lectures! In this video I will show you how to calculate the intensity of sound wave 2.
From playlist PHYSICS MECHANICS 5: WAVES, SOUND
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
Determining Signal Similarities
Get a Free Trial: https://goo.gl/C2Y9A5 Get Pricing Info: https://goo.gl/kDvGHt Ready to Buy: https://goo.gl/vsIeA5 Find a signal of interest within another signal, and align signals by determining the delay between them using Signal Processing Toolbox™. For more on Signal Processing To
From playlist Signal Processing and Communications
Speech and Audio Processing 4: Speech Coding I - Professor E. Ambikairajah
Speech and Audio Processing Speech Coding - Lecture notes available from: http://eemedia.ee.unsw.edu.au/contents/elec9344/LectureNotes/
From playlist ELEC9344 Speech and Audio Processing by Prof. Ambikairajah
Laurent Jacques/Valerio Cambareri: Small width, low distortions: quantized random projections of...
Laurent Jacques / Valerio Cambareri: Small width, low distortions: quantized random projections of low-complexity signal sets Abstract: Compressed sensing theory (CS) shows that a "signal" can be reconstructed from a few linear, and most often random, observations. Interestingly, this rec
From playlist HIM Lectures: Trimester Program "Mathematics of Signal Processing"
Marc Levoy - Lectures on Digital Photography - Lecture 10 (20apr16).mp4
This is one of 18 videos representing lectures on digital photography, from a version of my Stanford course CS 178 that was recorded at Google in Spring 2016. A web site that includes all 18 videos, my slides, and the course schedule, applets, and assignments is http://sites.google.com/sit
From playlist Stanford: Digital Photography with Marc Levoy | CosmoLearning Computer Science
Quantum Noise Limit in Gravitational Wave Detector - Nergis Mavalvala
Source - http://serious-science.org/videos/469 MIT Prof. Nergis Mavalvala on Poisson distributed noise sources, squeezed states of light, and optical cavities
From playlist Monolithic Telescope
GRCon21 - gr-genalyzer, a new OOT module to characterize data converter performance
Presented by Srikanth Pagadarai at GNU Radio Conference 2021 Emerging advancements in DAC/ADC technology in terms of enabling multi-channel, multi-mode, multi-band operation and supporting multi GSPS sample rates place stringent requirements on accurately characterizing the performance o
From playlist GRCon 2021
Marc Levoy - Lectures on Digital Photography - Lecture 17 (23May16).mp4
This is one of 18 videos representing lectures on digital photography, from a version of my Stanford course CS 178 that was recorded at Google in Spring 2016. A web site that includes all 18 videos, my slides, and the course schedule, applets, and assignments is http://sites.google.com/sit
From playlist Stanford: Digital Photography with Marc Levoy | CosmoLearning Computer Science
Some success stories in bridging theory and practice in ML (Lecture 1) by Anima Anandkumar
DISCUSSION MEETING THE THEORETICAL BASIS OF MACHINE LEARNING (ML) ORGANIZERS: Chiranjib Bhattacharya, Sunita Sarawagi, Ravi Sundaram and SVN Vishwanathan DATE : 27 December 2018 to 29 December 2018 VENUE : Ramanujan Lecture Hall, ICTS, Bangalore ML (Machine Learning) has enjoyed tr
From playlist The Theoretical Basis of Machine Learning 2018 (ML)
Emmanuel Candès: Wavelets, sparsity and its consequences
Abstract: Soon after they were introduced, it was realized that wavelets offered representations of signals and images of interest that are far more sparse than those offered by more classical representations; for instance, Fourier series. Owing to their increased spatial localization at f
From playlist Abel Lectures
Notation and Basic Signal Properties
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. Signals as functions, discrete- and continuous-time signals, sampling, images, periodic signals, displayi
From playlist Introduction and Background
Quantum Transport, Lecture 16: Superconducting qubits
Instructor: Sergey Frolov, University of Pittsburgh, Spring 2013 http://sergeyfrolov.wordpress.com/ Summary: quantum electrical circuits - flux qubits, phase qubits and charge qubits. Quantum Transport course development supported in part by the National Science Foundation under grant DMR
From playlist Quantum Transport
Physics - Mechanics: Sound and Sound Waves (14 of 47) Sound Intensity at a Distance
Visit http://ilectureonline.com for more math and science lectures! In this video I will show you how to calculate I=? at distances of 25m and power is 20W.
From playlist PHYSICS MECHANICS 5: WAVES, SOUND