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Hybrid Reverberation Algorithm Using Truncated Impulse Response Convolution And Recursive Filtering.pdf

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Hybrid Reverberation Algorithm Using Truncated Impulse Response Convolution And Recursive Filtering.pdf

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Hybrid Reverberation Algorithm Using Truncated Impulse Response Convolution And Recursive Filtering.pdf

文档介绍

文档介绍:UNIVERSITY OF MIAMI
HYBRID REVERBERATION ALGORITHM USING TRUNCATED
IMPULSE RESPONSE CONVOLUTION AND RECURSIVE FILTERING
By
Sean Browne
A RESEARCH PROJECT
Submitted to the Faculty of the University of Miami
in partial fulfillment of the requirements for the degree of
Master of Science in Music Engineering Technology
Coral Gables, Florida
June, 2001
BROWNE, SEAN (., Music Engineering Technology)
(June 2001)
Hybrid Reverberation Algorithm Using Truncated Impulse
Response Convolution and Recursive Filtering
Abstract of a Master’s Research Project at the University of Miami.
Research project supervised by Professor William Pirkle.
No. of pages in text: 79
Artificial reverberation can be developed by convolving an input signal with the specific
impulse response of an acoustic space. putationally exhaustive method achieves
superb reverberation, but is often abandoned for simpler filtering methods. Since it is
only the length of the impulse response that determines putational cost and
resolution, a new hybrid algorithm is developed that borrows from the original impulse
response easing putational burden. A truncated impulse response can still convey
the rich energy of the space while a digital filter bank can model the late echoes and
reverberation tail. This more efficient algorithm will use a reduced length block
convolution and recursive work to achieve similar high quality reverberation.
Table of Contents
1. Introduction 1
2. Reverberation Introduction 3
Artificial Reverberation: Impulse Response Convolution 3
Measuring Impulse Response 4
Geometrical Acoustics 5
Acoustic Measurement 8
Convolution Techniques 12
Direct Linear FIR 12
Direct Frequency 13
Overlap and Add 15
Overlap and Save 17
Minimum Delay Block Convolution 19
Pertinent Transforms 19
Artificial Reverberation: filtering 21
b Filter 22
Filter 24
2.

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