bss_decomp_gain.m

来自「一种bss盲源信号分离的工具包 可以用于盲信号的提取」· M 代码 · 共 35 行

function varargout=bss_decomp_gain(varargin)

% decompose an estimated source into target/interference/noise/artefacts components, assuming the admissible distortion is a pure time-invariant gain.
%
% Usage:
%
% [s_target,e_interf[,e_noise],e_artif]=bss_decomp_gain(se,index,S[,N])
%
% Input:
%   - se: row vector of length T containing the estimated source,
%   - index: points which component of S se has to be compared to,
%   - S: n x T matrix containing the original sources,
%   - N: m x T matrix containing the noise on the obseravtions (if any).
%
% Output:
%   - s_target: row vector of length T containing the target source(s)
%   contribution,
%   - e_interf: row vector of length T containing the interferences
%   contribution,
%   - e_noise: row vector of length T containing the noise contribution (if
%   any),
%   - e_artif: row vector of length T containing the artifacts
%   contribution.
%
% Developers:  - Cedric Fevotte ([e-mail]) - Emmanuel Vincent
% ([e-mail]) - Remi Gribonval ([e-mail])

switch nargin
    case 3
        [varargout{1},varargout{2},varargout{3}]=bss_decomp_filt(varargin{1},varargin{2},varargin{3},0);
    case 4
        [varargout{1},varargout{2},varargout{3},varargout{4}]=bss_decomp_filt(varargin{1},varargin{2},varargin{3},varargin{4},0);
    otherwise
        disp('Wrong number of arguments.')
end