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Finite impulse response
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31	Fast Convolution Filtering -- From Basics to Filter Banks Mark Borgerding Xetron Add to Reading List Source URL: www.danvillesignal.com Language: English - Date: 2010-09-02 06:26:08 Fourier analysis Binary operations Functional analysis Image processing Overlap–add method Circular convolution Convolution Finite impulse response Filter Mathematical analysis Mathematics Signal processing
32	2006 Paper 9 Question 10 Digital Signal Processing Consider a software routine that converts the sampling rate of digital audio data from 8 kHz to 48 kHz, without changing the represented sound. It reads an input sequen Add to Reading List Source URL: www.cl.cam.ac.uk Language: English - Date: 2014-06-09 10:18:15 Applied mathematics Sampling Low-pass filter Finite impulse response Fourier transform Electronic filter Nyquist–Shannon sampling theorem Filter bank Digital signal processing Signal processing Electronic engineering
33	Sources and effects of ripple in CrIS Measurements D. L. Mooney SUOMI NNP SDR Science and Validated Product Maturity Review Add to Reading List Source URL: www.star.nesdis.noaa.gov Language: English - Date: 2013-12-23 19:08:03 Mathematics Ringing artifacts Fast Fourier transform Finite impulse response Sinc function Fourier transform infrared spectroscopy Wave Digital signal processing Signal processing Mathematical analysis
34	Proc. of the 12th Int. Conference on Digital Audio Effects (DAFx-09), Como, Italy, September 1-4, 2009 SPECTRALLY MATCHED CLICK SYNTHESIS Matthew Wright CREATE and MAT, U.C. Santa Barbara Santa Barbara, CA USA Add to Reading List Source URL: www.mat.ucsb.edu Language: English - Date: 2012-03-14 20:25:10 Electronics Filter theory Linear filters Finite impulse response Filter design Filter Digital filter Frequency response Low-pass filter Digital signal processing Signal processing Electronic engineering
35	What’s new in CanaryThe enclosed disk contains software for installing CanaryThis document describes some new features that have been added in this latest version of Canary, which are not covered in the Add to Reading List Source URL: www.birds.cornell.edu Language: English - Date: 2010-05-26 14:57:03 Electronics Finite impulse response Filter Electronic filter Sample rate conversion Discrete Fourier transform Aliasing Decimation Low-pass filter Digital signal processing Signal processing Electronic engineering
36	Fast Convolution Filtering -- From Basics to Filter Banks Mark Borgerding Xetron Add to Reading List Source URL: www.danvillesignal.com Language: English - Date: 2010-09-02 06:26:01 Mathematics Downsampling Filter bank Finite impulse response Decimation Filter Convolution Analog-to-digital converter Fast Fourier transform Digital signal processing Signal processing Mathematical analysis
37	DSP Foundation DSP training Benefits • Analyze DSP system requirements • Understand filters and DFT • Specify, design and apply DSP Add to Reading List Source URL: www.bores.com Language: English - Date: 2012-05-08 08:54:11 Filter theory Electronic engineering Fourier analysis Filter design Finite impulse response Discrete Fourier transform Electronic filter Fast Fourier transform Window function Digital signal processing Mathematical analysis Signal processing
38	FIR filters DSP training Benefits • Analyze system filtering requirements • Specify, design and apply FIR filters • Analyze required arithmetic precision Add to Reading List Source URL: www.bores.com Language: English - Date: 2012-05-08 08:54:05 Electronic engineering Electronics Filter design Digital filter Electronic filter Finite impulse response Filter Window function Linear filter Digital signal processing Filter theory Signal processing
39	COMPUTER SCIENCE TRIPOS Part II – 2012 – Paper 9 5 Digital Signal Processing (MGK) (a) Make the following statements correct by changing one word or number. (Negating the sentence is not sufficient.) Add to Reading List Source URL: www.cl.cam.ac.uk Language: English - Date: 2014-06-09 10:18:42 Electronic engineering Electronics Infinite impulse response Filter design Filter Z-transform Finite impulse response Impulse invariance Digital signal processing Filter theory Signal processing
40	2004 Paper 7 Question 10 Digital Signal Processing (a) You have designed a digital water-level display installed on the River Cam. A sensor measures the current height of a small floating ball once every minute. In orde Add to Reading List Source URL: www.cl.cam.ac.uk Language: English - Date: 2014-06-09 10:18:00 Electronics Filter theory Linear filters Digital filter Finite impulse response Low-pass filter Electronic filter Filter Frequency response Digital signal processing Electronic engineering Signal processing