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						Synthesis Chapter Four: Convolution
						https://cmtext.indiana.edu/synthesis/chapter4_convolution.php#:~:text=Convolution%20is%20a%20method%20of%20cross-synthesis%2C%20combining%20two,those%20they%20do%20not%20share%20will%20be%20minimized.
						
						 
						
						
						
						Convolution vs Algorithmic Reverb — Pro Audio Files
						https://theproaudiofiles.com/reverb-comparison-convolution-vs-algorithmic/
						Software reverbs can be categorized in two types: convolution and algorithmic (essentially all other non-convolution). The distinction is based on the method or algorithm used to create the reverb. Convolution reverb uses an Impulse Response (IR) to create reverb. An impulse response is a representation of how a signal changes when going ...
						 
						
						
						
						Convolution Algorithm
						https://research.engineering.wustl.edu/~jain/cse567-08/ftp/k_35ca.pdf
						Convolution Algorithm: Tabular Format! The (n, k)th entry in the table is g(n, k). ! It is is obtained by adding together the value immediately to its left and the value immediately above multiplied by the corresponding column variable yk.
						 
						
						
						
						audio - How do I fix this Convolution Algorithm? (C++ ...
						https://stackoverflow.com/questions/68505142/how-do-i-fix-this-convolution-algorithm-c
						I'm using iPlug 2 to make a VST plugin that uses convolution. Right now it outputs very loud and high-pitched frequencies. My goal is to take in 100 samples at a time (and while that's happening the output is just 0), process them all at once in a loop, then output them one by one while taking in new inputs to process next.
						 
						
						
						
						Convolution Algorithm
						https://www.cse.wustl.edu/~jain/cse567-08/k_35ca.htm
						Audio/Video Recording of Professor Raj Jain's class lecture on Convolution Algorithm. It covers Convolution Algorithm, Distribution of Jobs in A System, Convolution Algorithm for Computing G(N), Convolution Algorithm: Tabular Format, Computing Performance Using G(N), Timesharing Systems, State Probabilities for Example
						 
						
						
						
						Implementing Real-Time Partitioned Convolution …
						http://ericbattenberg.com/school/partconvDAFx2011.pdf
						Partitioned convolution is a technique for efficiently performing time-domain convolution with low inherent latency[1]. It is partic-ularly useful for computing the convolution of audio signals with long (>1 second) impulse responses in real time, as direct con-volution becomes too computationally expensive and block-FFT
						 
						
						
							
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