Noise (electronics) | Radar signal processing
Noise figure (NF) and noise factor (F) are figures of merit that indicate degradation of the signal-to-noise ratio (SNR) that is caused by components in a signal chain. These figures of merit are used to evaluate the performance of an amplifier or a radio receiver, with lower values indicating better performance. The noise factor is defined as the ratio of the output noise power of a device to the portion thereof attributable to thermal noise in the input termination at standard noise temperature T0 (usually 290 K). The noise factor is thus the ratio of actual output noise to that which would remain if the device itself did not introduce noise, or the ratio of input SNR to output SNR. The noise factor and noise figure are related, with the former being a unitless ratio and the latter being the same ratio but expressed in units of decibels (dB). (Wikipedia).
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
In this video i demonstrate sound waves interference and standing waves from loudspeaker used sound sensor. The frequency on loudspeaker is about 5500Hz. Enjoy!!!
From playlist WAVES
What is Sound? - Quickly Discover What Sound Really Is
What is Sound? This simple demonstration visually shows how sound waves are produced from a vibrating surface. A frequency generator is hooked up to a power amplifier, and the resultant signal is used to drive a loudspeaker. The signal is also sent to an oscilloscope. After listen
From playlist Physics Demonstrations
Show Me Some Science! Speed Of Sound
Sound is a wave which travels through the air at about 330 m/s. The Little Shop of Physics Crew dances to the music together. When spread out along the track, it takes about a third of a second for the sound to travel from the first person to the last. The crew is blindfolded, so there are
From playlist Show Me Some Science!
Physics - Mechanics: Sound and Sound Waves (7 of 47) Sound Intensity
Visit http://ilectureonline.com for more math and science lectures! In this video I will explain the basics of the intensity of sound (speaking, whisper, and screaming!).
From playlist MOST POPULAR VIDEOS
Waves 4_2 Sources of Musical Sounds
Problems dealing with musical sounds.
From playlist Physics - Waves
EEVblog #528 - Opamp Input Noise Voltage Tutorial
Dave explains one of the most confusing parameters in an opamp datasheet, Input Noise Voltage Density, that mysterious nV/RootHz figure. Along with different types of opamp noise, corner noise frequency, and how to calculate output noise spectral density. And how to use a Dynamic Signal An
From playlist Opamps - Tutorials & Practicals
MagLab User Summer School: The Physics of Noise and Musings of Experimental Errors
This video was recorded in 2016 at the National MagLab’s annual User Summer School, where early-career scientists learn from lab experts best practices for conducting experiments at the lab. For more information, please visit https://nationalmaglab.org/user-summer-school
From playlist User Summer School Talks
EEVblog #605 - Fig.8 & Cardioid Microphone Patterns
Doug Ford, former head designer from Rode Microphones continues with Part 2 of the microphone technology series by explaining the construction of noise cancelling Figure 8, cardioid, and hyper cardioid microphones. Also, how the polar patterns and responses relate to the physical construct
From playlist Microphone Technology & Design
EEVblog #572 - Cascading Opamps For Increased Bandwidth
Fundamentals Friday. Dave explains Gain Bandwith Product and how it's possible to increase your system bandwidth by cascading opamps in series. Also, a discussion on the associated noise issues. A breadboard example shows how variable GBWP can be, and how it can relate to distortion. Opamp
From playlist Opamps - Tutorials & Practicals
EEVblog #594 - How To Measure Power Supply Ripple & Noise
Fundamentals Friday Dave explains what the ripple and noise specifications on a power supply is and how to measure it using different methods on both analog and digital oscilloscopes. From bad techniques through to good, showing the effect of each one. Traps for young players aplenty in th
From playlist Fundamentals Friday
Stanford CS230: Deep Learning | Autumn 2018 | Lecture 2 - Deep Learning Intuition
Andrew Ng, Adjunct Professor & Kian Katanforoosh, Lecturer - Stanford University https://stanford.io/3eJW8yT Andrew Ng Adjunct Professor, Computer Science Kian Katanforoosh Lecturer, Computer Science To follow along with the course schedule and syllabus, visit: http://cs230.stanford.
From playlist Stanford CS230: Deep Learning | Autumn 2018
EEVblog #1118 - Why Are Studio Monitors Noisy?
Why do many powered studio monitor speakers have a low level audible background noise? This is an issue with many big and popular brand monitors like KRK, Yamaha, JBL, Alesis and many others, even top end brands like Focal. Time for some investigation on the KRK Rokit 6 studio monitor spe
From playlist Audio & Speakers
Stanford Webinar - Talent Management: From Startup to Scaleup
Behind every successful organization are passionate, committed employees. As a hiring manager, how do you ensure that you’re attracting and retaining the right talent? This webinar will teach you how to tailor your hiring decisions for each stage of the company lifecycle, from startup to
From playlist Stanford Webinars
Ippei Obayashi (3/30/22): Stable volumes for persistent homology
Persistent homology is a powerful tool to characterize the shape of data quantitatively using topology. A persistence diagram (or barcode) is the output of persistent homology. The diagram is a scatter plot on the X-Y plane, and each point on the diagram called a birth-death pair correspon
From playlist AATRN 2022
Lecture 16 - Independent Component Analysis & RL | Stanford CS229: Machine Learning (Autumn 2018)
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/2ZdB2p8 Andrew Ng Adjunct Professor of Computer Science https://www.andrewng.org/ To follow along with the course schedule and syllabus, visit: http://cs229.sta
From playlist Stanford CS229: Machine Learning Full Course taught by Andrew Ng | Autumn 2018
From playlist 126: PHYS 126 Week 1