removes significant sine waves from data (continuous data). Usage: data=rmlinesc(data,params,p,plt,f0) 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. params structure containing parameters - params has the following fields: tapers, Fs, fpass, pad tapers : precalculated tapers from dpss or in the one of the following forms: (1) A numeric vector [TW K] where TW is the time-bandwidth product and K is the number of tapers to be used (less than or equal to 2TW-1). (2) A numeric vector [W T p] where W is the bandwidth, T is the duration of the data and p is an integer such that 2TW-p tapers are used. In this form there is no default i.e. to specify the bandwidth, you have to specify T and p as well. Note that the units of W and T have to be consistent: if W is in Hz, T must be in seconds and vice versa. Note that these units must also be consistent with the units of params.Fs: W can be in Hz if and only if params.Fs is in Hz. The default is to use form 1 with TW=3 and K=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 (can take values -1,0,1,2...). -1 corresponds to no padding, 0 corresponds to padding to the next highest power of 2 etc. e.g. For N = 500, if PAD = -1, we do not pad; if PAD = 0, we pad the FFT to 512 points, if pad=1, we pad to 1024 points etc. Defaults to 0. 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) f0 frequencies at which you want to remove the lines - if unspecified the program uses the f statistic to determine appropriate lines. Outputs: data (data with significant lines removed)
0001 function data=rmlinesc(data,params,p,plt,f0) 0002 % removes significant sine waves from data (continuous data). 0003 % 0004 % Usage: data=rmlinesc(data,params,p,plt,f0) 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 % params structure containing parameters - params has the 0010 % following fields: tapers, Fs, fpass, pad 0011 % tapers : precalculated tapers from dpss or in the one of the following 0012 % forms: 0013 % (1) A numeric vector [TW K] where TW is the 0014 % time-bandwidth product and K is the number of 0015 % tapers to be used (less than or equal to 0016 % 2TW-1). 0017 % (2) A numeric vector [W T p] where W is the 0018 % bandwidth, T is the duration of the data and p 0019 % is an integer such that 2TW-p tapers are used. In 0020 % this form there is no default i.e. to specify 0021 % the bandwidth, you have to specify T and p as 0022 % well. Note that the units of W and T have to be 0023 % consistent: if W is in Hz, T must be in seconds 0024 % and vice versa. Note that these units must also 0025 % be consistent with the units of params.Fs: W can 0026 % be in Hz if and only if params.Fs is in Hz. 0027 % The default is to use form 1 with TW=3 and K=5 0028 % 0029 % Fs (sampling frequency) -- optional. Defaults to 1. 0030 % fpass (frequency band to be used in the calculation in the form 0031 % [fmin fmax])- optional. 0032 % Default all frequencies between 0 and Fs/2 0033 % pad (padding factor for the FFT) - optional (can take values -1,0,1,2...). 0034 % -1 corresponds to no padding, 0 corresponds to padding 0035 % to the next highest power of 2 etc. 0036 % e.g. For N = 500, if PAD = -1, we do not pad; if PAD = 0, we pad the FFT 0037 % to 512 points, if pad=1, we pad to 1024 points etc. 0038 % Defaults to 0. 0039 % p (P-value for F-test) - optional. Defaults to 0.05/N 0040 % where N is data length. This corresponds to a false detect 0041 % probability of approximately 0.05 0042 % 0043 % plt (y/n for plot and no plot respectively) 0044 % f0 frequencies at which you want to remove the 0045 % lines - if unspecified the program uses the f statistic 0046 % to determine appropriate lines. 0047 % 0048 % Outputs: 0049 % data (data with significant lines removed) 0050 % 0051 data=change_row_to_column(data); 0052 [N,C]=size(data); 0053 if nargin < 2 || isempty(params); params=[]; end; 0054 [tapers,pad,Fs,fpass,err,trialave,params]=getparams(params); 0055 clear pad fpass err trialave 0056 user_specified_pval=0; 0057 if nargin < 3 || isempty(p);p=0.05/N; else; user_specified_pval=1; end; 0058 if nargin < 4 || isempty(plt); plt='n'; end; 0059 if nargin < 5; f0=[]; end; 0060 if isempty(f0) && user_specified_pval==1; p=p/N; end; 0061 [datafit,Amps,freqs,Fval,sig]=fitlinesc(data,params,p,'n',f0); 0062 datan=data-datafit; 0063 %params.tapers=dpsschk(tapers,N,Fs); % calculate the tapers 0064 0065 % [Fval,A,f,sig] = ftestc(data,params,p,'n'); 0066 % fmax=findpeaks(Fval,sig); 0067 % datasine=data; 0068 % for ch=1:C; 0069 % fsig=f(fmax(ch).loc); 0070 % Nf=length(fsig); 0071 % fprintf('The significant lines for channel %d and the amplitudes are \n',ch); 0072 % for nf=1:Nf; 0073 % fprintf('%12.8f\n',fsig(nf)); 0074 % fprintf('%12.8f\n',real(A(fmax(ch).loc(nf),ch))); 0075 % fprintf('%12.8f\n',imag(A(fmax(ch).loc(nf),ch))); 0076 % fprintf('\n'); 0077 % end; 0078 % 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)); 0079 % end; 0080 % % subplot(211); plot(data); hold on; plot(datasine,'r'); 0081 % datan=data-datasine; 0082 % subplot(212); plot(datan); 0083 if nargout==0 || strcmp(plt,'y'); 0084 figure; 0085 [S1,f]=mtspectrumc(detrend(data),params); 0086 subplot(321); plot(f,10*log10(S1));xlabel('frequency Hz'); ylabel('Spectrum dB'); title('Original spectrum'); 0087 subplot(323); plot(f,Fval); line(get(gca,'xlim'),[sig sig],'Color','r'); xlabel('frequency Hz');ylabel('F-statistic'); 0088 [S2,f]=mtspectrumc(detrend(datan),params); 0089 subplot(325);plot(f,10*log10(S1),f,10*log10(S2));xlabel('frequency Hz'); ylabel('Spectrum dB'); title('Original and cleaned spectra'); 0090 subplot(322); plot((1:size(data,1))/params.Fs,data); xlabel('time s'); title('Original data'); 0091 subplot(324); plot((1:size(datan,1))/params.Fs,datan);xlabel('time s'); title('Cleaned data'); 0092 end; 0093 data=datan;