


removes significant sine waves from data (continuous data).
Usage: data=rmlinesc(data,f0,params, p,plt)
Inputs:
Note that units of Fs, fpass have to be consistent.
data (data in [N,C] i.e. time x channels/trials or a single vector) - required.
f0 a single frequency at which you want to remove the
lines - specify empty [] if you just want the program
to compute the significant lines
params structure containing parameters - params has the
following fields: tapers, Fs, fpass, pad
tapers (parameters for calculating tapers [NW,K]) - optional. Defaults to [3 5]
Fs (sampling frequency) -- optional. Defaults to 1.
fpass (frequency band to be used in the calculation in the form
[fmin fmax])- optional.
Default all frequencies between 0 and Fs/2
pad (padding factor for the FFT) - optional. Defaults to 0.
e.g. For N = 500, if PAD = 0, we pad the FFT
to 512 points; if PAD = 2, we pad the FFT
to 2048 points, etc.
p (P-value for F-test) - optional. Defaults to 0.05/N
where N is data length. This corresponds to a false detect
probability of approximately 0.05
plt (y/n for plot and no plot respectively)
Outputs:
data (data with significant lines removed)

0001 function data=rmlinesc(data,f0,params,p,plt) 0002 % removes significant sine waves from data (continuous data). 0003 % 0004 % Usage: data=rmlinesc(data,f0,params, p,plt) 0005 % 0006 % Inputs: 0007 % Note that units of Fs, fpass have to be consistent. 0008 % data (data in [N,C] i.e. time x channels/trials or a single vector) - required. 0009 % f0 a single frequency at which you want to remove the 0010 % lines - specify empty [] if you just want the program 0011 % to compute the significant lines 0012 % params structure containing parameters - params has the 0013 % following fields: tapers, Fs, fpass, pad 0014 % tapers (parameters for calculating tapers [NW,K]) - optional. Defaults to [3 5] 0015 % Fs (sampling frequency) -- optional. Defaults to 1. 0016 % fpass (frequency band to be used in the calculation in the form 0017 % [fmin fmax])- optional. 0018 % Default all frequencies between 0 and Fs/2 0019 % pad (padding factor for the FFT) - optional. Defaults to 0. 0020 % e.g. For N = 500, if PAD = 0, we pad the FFT 0021 % to 512 points; if PAD = 2, we pad the FFT 0022 % to 2048 points, etc. 0023 % p (P-value for F-test) - optional. Defaults to 0.05/N 0024 % where N is data length. This corresponds to a false detect 0025 % probability of approximately 0.05 0026 % 0027 % plt (y/n for plot and no plot respectively) 0028 % 0029 % Outputs: 0030 % data (data with significant lines removed) 0031 % 0032 data=change_row_to_column(data); 0033 [N,C]=size(data); 0034 if nargin < 3 || isempty(params); params=[]; end; 0035 [tapers,pad,Fs,fpass,err,trialave,params]=getparams(params); 0036 clear pad fpass err trialave 0037 if nargin<4 || isempty(p);p=0.05/N;end; 0038 0039 [datafit,Amps,freqs,Fval,sig]=fitlinesc(data,f0,params,p,'n'); 0040 datan=data-datafit; 0041 %params.tapers=dpsschk(tapers,N,Fs); % calculate the tapers 0042 0043 % [Fval,A,f,sig] = ftestc(data,params,p,'n'); 0044 % fmax=findpeaks(Fval,sig); 0045 % datasine=data; 0046 % for ch=1:C; 0047 % fsig=f(fmax(ch).loc); 0048 % Nf=length(fsig); 0049 % fprintf('The significant lines for channel %d and the amplitudes are \n',ch); 0050 % for nf=1:Nf; 0051 % fprintf('%12.8f\n',fsig(nf)); 0052 % fprintf('%12.8f\n',real(A(fmax(ch).loc(nf),ch))); 0053 % fprintf('%12.8f\n',imag(A(fmax(ch).loc(nf),ch))); 0054 % fprintf('\n'); 0055 % end; 0056 % datasine(:,ch)=exp(i*2*pi*(0:N-1)'*fsig/Fs)*A(fmax(ch).loc,ch)+exp(-i*2*pi*(0:N-1)'*fsig/Fs)*conj(A(fmax(ch).loc,ch)); 0057 % end; 0058 % % subplot(211); plot(data); hold on; plot(datasine,'r'); 0059 % datan=data-datasine; 0060 % subplot(212); plot(datan); 0061 if nargout==0 || strcmp(plt,'y'); 0062 figure; 0063 [S1,f]=mtspectrumc(detrend(data),params); 0064 subplot(321); plot(f,10*log10(S1));xlabel('frequency Hz'); ylabel('Spectrum dB'); title('Original spectrum'); 0065 subplot(323); plot(f,Fval); line(get(gca,'xlim'),[sig sig],'Color','r'); xlabel('frequency Hz');ylabel('F-statistic'); 0066 [S2,f]=mtspectrumc(detrend(datan),params); 0067 subplot(325);plot(f,10*log10(S1),f,10*log10(S2));xlabel('frequency Hz'); ylabel('Spectrum dB'); title('Original and cleaned spectra'); 0068 subplot(322); plot((1:size(data,1))/params.Fs,data); xlabel('time s'); title('Original data'); 0069 subplot(324); plot((1:size(datan,1))/params.Fs,datan);xlabel('time s'); title('Cleaned data'); 0070 end; 0071 data=datan;