An adaptive filter is a system with a linear filter that has a transfer function controlled by variable parameters and a means to adjust those parameters according to an optimization algorithm. Because of the complexity of the optimization algorithms, almost all adaptive filters are digital filters. Adaptive filters are required for some applications because some parameters of the desired processing operation (for instance, the locations of reflective surfaces in a reverberant space) are not known in advance or are changing. The closed loop adaptive filter uses feedback in the form of an error signal to refine its transfer function. Generally speaking, the closed loop adaptive process involves the use of a cost function, which is a criterion for optimum performance of the filter, to feed an algorithm, which determines how to modify filter transfer function to minimize the cost on the next iteration. The most common cost function is the mean square of the error signal. As the power of digital signal processors has increased, adaptive filters have become much more common and are now routinely used in devices such as mobile phones and other communication devices, camcorders and digital cameras, and medical monitoring equipment. (Wikipedia).
From playlist filter (less comfortable)
Introduction to Frequency Selective Filtering
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. Separation of signals based on frequency content using lowpass, highpass, bandpass, etc filters. Filter g
From playlist Introduction to Filter Design
Why Use Kalman Filters? | Understanding Kalman Filters, Part 1
Download our Kalman Filter Virtual Lab to practice linear and extended Kalman filter design of a pendulum system with interactive exercises and animations in MATLAB and Simulink: https://bit.ly/3g5AwyS Discover common uses of Kalman filters by walking through some examples. A Kalman filte
From playlist Understanding Kalman Filters
Special Topics - The Kalman Filter (1 of 55) What is a Kalman Filter?
Visit http://ilectureonline.com for more math and science lectures! In this video I will explain what is Kalman filter and how is it used. Next video in this series can be seen at: https://youtu.be/tk3OJjKTDnQ
From playlist SPECIAL TOPICS 1 - THE KALMAN FILTER
Get a Free Trial: https://goo.gl/C2Y9A5 Get Pricing Info: https://goo.gl/kDvGHt Ready to Buy: https://goo.gl/vsIeA5 Remove an unwanted tone from a signal, and compensate for the delay introduced in the process using Signal Processing Toolbox™. For more on Signal Processing Toolbox, visi
From playlist Signal Processing and Communications
Passive RC high pass filter tutorial!
A tutorial on passive RC high pass filters. You can use them to filter out low frequency signals, or remove DC offsets from a signal. Make sure you watch my video on low pass filters first! http://www.youtube.com/watch?v=OBM5T5_kgdI Webpage with more info on all kinds of electronic filters
From playlist Passive filters
I discuss causal and non-causal noise filters: the moving average filter and the exponentially weighted moving average. I show how to do this filtering in Excel and Python
From playlist Discrete
http://AllSignalProcessing.com for more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files. Noncausal filtering of stored data to obtain zero-phase response using the time-reversal property of the DFT, as implemented by the "filtfilt" comma
From playlist Introduction to Filter Design
Optimal State Estimator Algorithm | Understanding Kalman Filters, Part 4
Download our Kalman Filter Virtual Lab to practice linear and extended Kalman filter design of a pendulum system with interactive exercises and animations in MATLAB and Simulink: https://bit.ly/3g5AwyS Discover the set of equations you need to implement a Kalman filter algorithm. You’ll l
From playlist Understanding Kalman Filters
Edward Ionides: Island filters for inference on metapopulation dynamics
Low-dimensional compartment models for biological systems can be fitted to time series data using Monte Carlo particle filter methods. As dimension increases, for example when analyzing a collection of spatially coupled populations, particle filter methods rapidly degenerate. We show that
From playlist Probability and Statistics
Active Noise Cancellation – From Modeling to Real-Time Prototyping
Active noise control (ANC), also known as active noise cancellation, attempts to cancel unwanted sound using destructive interference. ANC systems use adaptive digital filtering to synthesize a sound wave with the same amplitude as the unwanted signal, but with inverted phase. This video f
From playlist Real-Time Audio Prototyping
Making Dibenzo[a,e]cyclooctene - an Emerging Ligand?
Keep exploring at https://brilliant.org/Chemiolis Get started for free, and hurry—the first 200 people get 20% off an annual premium subscription. Support my channel with patreon: https://www.patreon.com/chemiolis Xylene bromination: http://www.orgsyn.org/demo.aspx?prep=CV4P0984 Dibenzo
From playlist Interesting Molecular Structure
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
Making Adamantane From Jet Fuel
Visit https://brilliant.org/Chemiolis/ to get started learning STEM for free, and the first 200 people will get 20% off their annual premium subscription. In this video I will be synthesizing jet fuel (JP-10) aka tetrahydrodicyclopentadiene and adamantane. Starting with purifying dicyclop
From playlist Interesting Molecular Structure
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
Filtration | MIT Digital Lab Techniques Manual
Filtration The easiest way to separate a liquid from a solid? Filtration! Learn how to effectively carry out gravity and vacuum filtrations in this video. Created by Dr. Sarah Tabacco and Aaeyesha Siddiqui View the complete resource at: http://ocw.mit.edu/resources/res-5-0001-digital-la
From playlist MIT Digital Lab Techniques Manual
Rana Adhikari - Control Systems
PROGRAM: ICTS Winter School on Experimental Gravitational-Wave Physics DATES: Monday 23 Dec, 2013 - Saturday 28 Dec, 2013 VENUE: Raja Ramanna Centre for Advanced Technology, Indore PROGRAM LINK: http://www.icts.res.in/program/GWS2013 A worldwide network of detectors are currently involved
From playlist ICTS Winter School on Experimental Gravitational-Wave Physics
For more information on Bloom Filters, check the Wikipedias: http://en.wikipedia.org/wiki/Bloom_filter , for special topics like "How to get around the 'no deletion' rule" and "How do I generate all of these different hash functions anyways?" For other questions, like "who taught you how
From playlist Software Development Lectures
Quality Control: NCGAS Transcriptome Assembly, Annotation, and Analysis Workshop
From the National Center for Genome Analysis Support (NCGAS) workshop on high performance computing (HPC) usage and transcriptome assembly, annotation and analysis. Presented by Layla Freeborn, Bioinformatics Analysist, NCGAS. Filmed July 20, 2021. ABOUT THE WORKSHOP The workshop consist
From playlist NCGAS: Transcriptome Assembly, Annotation, and Analysis Workshop