From a87913aca3bb2486e23bc2574367a2d83e064388 Mon Sep 17 00:00:00 2001 From: Michal_Lelonek Date: Fri, 5 Nov 2021 13:31:58 +0100 Subject: [PATCH] Update 'autocorr.m' --- autocorr.m | 114 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ my_app.m | 8 ----- 2 files changed, 114 insertions(+), 8 deletions(-) create mode 100644 autocorr.m delete mode 100644 my_app.m diff --git a/autocorr.m b/autocorr.m new file mode 100644 index 0000000..60593ec --- /dev/null +++ b/autocorr.m @@ -0,0 +1,114 @@ +%% This function was automatically generated. When modifying its signature, take care to apply +%% modifications also to the descriptor files in the repository. +%% function out = my_app(Time Series File, Number of lags , Number of standard deviations) + +function [acf,lags,bounds,numLags,numMA,numSTD] = ... + autocorr(time_series,numLags,numMA,numSTD) + +[rows,columns] = size(time_series); + +if (rows ~= 1) && (columns ~= 1) + + error('Input file must be a vector'); + +end + +time_series = time_series(:); % Ensure a column vector +N = length(time_series); % Sample size +defaultLags = 20; % Recommendation of [1] + +% Ensure numLags is a positive integer or set default: + +if (nargin >= 2) && ~isempty(numLags) + + if numel(numLags) > 1 + + error('Number of lags must be a scalar value'); + + end + + if (round(numLags) ~= numLags) || (numLags <= 0) + + error('Number of lags must be a positive integer'); + + end + + if numLags > (N-1) + + error('Number of ACF lags must not exceed the number of observations minus one'); + % numLags = min(defaultLags,N-1) + + end + +else + + numLags = min(defaultLags,N-1); % Default + +end + +% Ensure numMA is a nonnegative integer or set default: + +if (nargin >= 3) && ~isempty(numMA) + + if numel(numMA) > 1 + + error('Number of moving average must be a scalar value'); + + end + + if (round(numMA) ~= numMA) || (numMA < 0) + + error('Number of moving average must be a positive integer'); + + end + + if numMA >= numLags + + error('Number of moving average must be lower than number of lags'); + + end + +else + + numMA = 0; % Default + +end + +% Ensure numSTD is a positive scalar or set default: + +if (nargin >= 4) && ~isempty(numSTD) + + if numel(numSTD) > 1 + + error('Number of standard deviations must be a scalar value'); + + end + + if numSTD < 0 + + error('Number of standard deviations cannot be negative'); + + end + +else + + numSTD = 2; % Default + +end + +nFFT = 2^(nextpow2(length(time_series))+1); +F = fft(time_series-mean(time_series),nFFT); +F = F.*conj(F); +acf = ifft(F); +acf = acf(1:(numLags+1)); % Retain non-negative lags +acf = acf./acf(1); % Normalize +acf = real(acf); + +% Compute approximate confidence bounds using the approach in [1], +% equations 2.1.13 and 6.2.2, pp. 33 and 188, respectively: + +sigmaNMA = sqrt((1+2*(acf(2:numMA+1)'*acf(2:numMA+1)))/N); +bounds = sigmaNMA*[numSTD;-numSTD]; +lags = (0:numLags)'; + +end \ No newline at end of file diff --git a/my_app.m b/my_app.m deleted file mode 100644 index 49a5efd..0000000 --- a/my_app.m +++ /dev/null @@ -1,8 +0,0 @@ -%% This function was automatically generated. When modifying its signature, take care to apply -%% modifications also to the descriptor files in the repository. -function out = my_app(Time Series File, Number of lags , Number of standard deviations) - -%% AUTOCORRELATION_MOD -%% TODO: Put your application code here - -end