# Difference between revisions of "Dispersion Filter Design"

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"Robust, Efficient Design of Allpass Filtersfor Dispersive String Sound Synthesis", | "Robust, Efficient Design of Allpass Filtersfor Dispersive String Sound Synthesis", | ||

by Jonathan S. Abel, Vesa Välimäki, and Julius O. Smith III, | by Jonathan S. Abel, Vesa Välimäki, and Julius O. Smith III, | ||

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== Text-Format Listing == | == Text-Format Listing == | ||

− | + | function sos = adf(f0,B,df,beta) | |

% adf.m | % adf.m | ||

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## Latest revision as of 11:03, 23 February 2010

This Wiki page contains supporting information for the paper
"Robust, Efficient Design of Allpass Filtersfor Dispersive String Sound Synthesis",
by Jonathan S. Abel, Vesa Välimäki, and Julius O. Smith III,
IEEE SIGNAL PROCESSING LETTERS, VOL. 17, NO. 4, APRIL 2010

## Contents

# Abstract

An efficient allpass filter design method is introduced to match the dispersion characteristics of vibrating stiff strings. The proposed method designs an allpass filter in cascaded biquad form directly from the target group delay, placing the poles at frequencies at which the group delay area function achieves odd integer multiples of , and fixing the pole radii according to a smoothness parameter. The pole frequencies are seen to be roots of quartic polynomials, and an efficient approximation to the desired roots is provided. Design examples show the method to outperform a previous closed-form design. Furthermore, the proposed method can achieve an arbitrarily wide bandwidth of good approximation by increasing the filter order, as the method is numerically robust and yields stable allpass filters.

# Matlab for dispersion allpass filter design

## File link

http://www.acoustics.hut.fi/publications/papers/spl-adf/adf.m

## Text-Format Listing

function sos = adf(f0,B,df,beta) % adf.m % % Allpass dispersion filter design % % REFERENCE: % "Robust, Efficient Design of Allpass Filters for % Dispersive String Sound Synthesis," by % Jonathan S. Abel, Vesa Valimaki, and Julius O. Smith, % IEEE Signal Processing Letters, 2010. % % PARAMETERS: % f0 = fundamental frequency, Hz % B = inharmonicity coefficent, ratio (e.g., B = 0.0001) % df = design bandwidth, Hz % beta = smoothing factor (e.g., beta = 0.85) % % EXAMPLES: % sos = adf(32.702,0.0002,2100,0.85); % sos = adf(65.406,0.0001,2500,0.85); % sos = adf(130.81,0.00015,4300,0.85); % % The output array sos contains the allpass filter coefficients % as second-order sections. % % Created: Vesa Valimaki, Dec. 11, 2009 % (based on Jonathan Abel's Matlab code) % (ported to CCRMA Wiki by jos 2010-02-23)

%% initialization

% system variables fs = 44100; %% sampling rate, Hz nbins = 2048; %% number of frequency points

%% design dispersion filter

% period, samples; df delay, samples; integrated delay, radians tau0 = fs/f0; %% division needed pd0 = tau0/sqrt(1 + B*(df/f0).^2); %% division and sqrt needed mu0 = pd0/(1 + B*(df/f0)^2); phi0 = 2*pi*(df/fs)*pd0 - mu0*2*pi*df/fs;

% allpass order, biquads; desired phases, radians nap = floor(phi0/(2*pi)); phik = pi*[1:2:2*nap-1];

% Newton single iteration etan = [0:nap-1]/(1.2*nap) * df; %% division needed pdn = tau0./sqrt(1 + B*(etan/f0).^2); %% division and sqrt needed taun = pdn./(1 + B*(etan/f0).^2); phin = 2*pi*(etan/fs).*pdn; theta = fs/(2*pi) * (phik - phin + (2*pi/fs)*etan.*taun) ./ (taun - ... mu0); % division needed

% compute allpass pole locations delta = diff([-theta(1) theta])/2; cc = cos(theta * 2*pi/fs); eta = (1 - beta.*cos(delta * 2*pi/fs))./(1 - beta); %% division %needed alpha = sqrt(eta.^2 - 1) - eta; % sqrt needed

% form second-order allpass sections temp = [ones(nap,1) 2*alpha'.*cc' alpha'.^2]; sos = [fliplr(temp) temp];