In signal processing, a filter bank (or filterbank) is an array of bandpass filters that separates the input signal into multiple components, each one carrying a single frequency sub-band of the original signal. One application of a filter bank is a graphic equalizer, which can attenuate the components differently and recombine them into a modified version of the original signal. The process of decomposition performed by the filter bank is called analysis (meaning analysis of the signal in terms of its components in each sub-band); the output of analysis is referred to as a subband signal with as many subbands as there are filters in the filter bank. The reconstruction process is called synthesis, meaning reconstitution of a complete signal resulting from the filtering process. In digital signal processing, the term filter bank is also commonly applied to a bank of receivers. The difference is that receivers also down-convert the subbands to a low center frequency that can be re-sampled at a reduced rate. The same result can sometimes be achieved by undersampling the bandpass subbands. Another application of filter banks is signal compression when some frequencies are more important than others. After decomposition, the important frequencies can be coded with a fine resolution. Small differences at these frequencies are significant and a coding scheme that preserves these differences must be used. On the other hand, less important frequencies do not have to be exact. A coarser coding scheme can be used, even though some of the finer (but less important) details will be lost in the coding. The vocoder uses a filter bank to determine the amplitude information of the subbands of a modulator signal (such as a voice) and uses them to control the amplitude of the subbands of a carrier signal (such as the output of a guitar or synthesizer), thus imposing the dynamic characteristics of the modulator on the carrier. Some filter banks work almost entirely in the time domain, using a series of filters such as quadrature mirror filters or the Goertzel algorithm to divide the signal into smaller bands.Other filter banks use a fast Fourier transform (FFT). (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
Low Pass Filters & High Pass Filters : Data Science Concepts
What is a low pass filter? What is a high pass filter? Sobel Filter: https://en.wikipedia.org/wiki/Sobel_operator
From playlist Time Series Analysis
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
More details visit: http://www.techtrixinfo.com/ The videos shows, how to fix an air filter inner and outer element. Please rate us and drop your comments. Air filter is one critical part of an engine. This is the unit which cleans the air which is sucked from the atmosphere to be suppl
From playlist Engines & its related stuffs.
A Better Approach to Spectral Analysis | Hear from MATLAB & Simulink Developers
Learn the reasons behind why using a channelizer-based filter bank for spectral analysis is superior to other methods. This video walks through what a channelizer-based filter bank is, and it explains the benefits of using it over other techniques, such as the window and FFT method (also k
From playlist Tips and Tricks from MATLAB and Simulink Developers
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
Nicki Holighaus: Time-frequency frames and applications to audio analysis - Part 1
Find this video and other talks given by worldwide mathematicians on CIRM's Audiovisual Mathematics Library: http://library.cirm-math.fr. And discover all its functionalities: - Chapter markers and keywords to watch the parts of your choice in the video - Videos enriched with abstracts, b
From playlist Analysis and its Applications
Lec 26 | MIT 18.085 Computational Science and Engineering I
Filter banks and perfect reconstruction A more recent version of this course is available at: http://ocw.mit.edu/18-085f08 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 18.085 Computational Science & Engineering I, Fall 2007
Lec 25 | MIT 18.085 Computational Science and Engineering I
Filters in the time and frequency domain A more recent version of this course is available at: http://ocw.mit.edu/18-085f08 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 18.085 Computational Science & Engineering I, Fall 2007
http://www.mekanizmalar.com/menu-pump.html How a balanced vane pump works. Flow animation by using particles.
From playlist Pumps
Lec 24 | MIT 18.085 Computational Science and Engineering I
Discrete filters: lowpass and highpass A more recent version of this course is available at: http://ocw.mit.edu/18-085f08 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 18.085 Computational Science & Engineering I, Fall 2007
CBC data analysis by Anand Sengupta
Discussion Meeting The Future of Gravitational-Wave Astronomy ORGANIZERS: Parameswaran Ajith, K. G. Arun, B. S. Sathyaprakash, Tarun Souradeep and G. Srinivasan DATE: 19 August 2019 to 22 August 2019 VENUE: Ramanujan Lecture Hall, ICTS Bangalore This discussion meeting, organized in c
From playlist The Future of Gravitational-wave Astronomy 2019
Toronto Deep Learning Series, 11-Feb-2019 https://tdls.a-i.science/events/2019-02-11 TENSOR FIELD NETWORKS: ROTATION- AND TRANSLATION-EQUIVARIANT NEURAL NETWORKS FOR 3D POINT CLOUDS We introduce tensor field neural networks, which are locally equivariant to 3D rotations, translations, a
From playlist Math and Foundations
Excel Filters Training - Part 1 of 3
Sign up for our Excel webinar, times added weekly: https://www.excelcampus.com/blueprint-registration/ In this video series you will learn how to work with the Filters in Excel. Filters hide and unhide rows to help us prepare our data for analysis and tie out numbers to formulas, pivot t
From playlist Excel Filters Training Series
How to Analyze Bank Statements with Pivot Tables - Calculated Fields
Sign up for our Excel webinar, times added weekly: https://www.excelcampus.com/blueprint-registration/ In this video, I demonstrate how to add calculated fields or calculated columns to pivot tables so that you can analyze and summarize the debits and credits on a bank or credit card state
From playlist Pivot Tables
Stanford Seminar - Training Classifiers with Natural Language Explanations
Braden Hancock Stanford University February 20, 2019 Training accurate classifiers requires many labels, but each label provides only limited information (one bit for binary classification). In this work, we propose BabbleLabble, a framework for training classifiers in which an annotator
From playlist Stanford EE380-Colloquium on Computer Systems - Seminar Series
Lec 28 | MIT 18.085 Computational Science and Engineering I
Splines and orthogonal wavelets: Daubechies construction A more recent version of this course is available at: http://ocw.mit.edu/18-085f08 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 18.085 Computational Science & Engineering I, Fall 2007
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