| 摘要 |
<p>An improved signal processing method in a signal processor for performing the deconvolution of a signal resulting from an analytical separation process is disclosed. In a first aspect, a signal representing a plurality of partially separated sample zones is measured, a point-spread-function of the signal is determined, and the Fourier transform of the signal and the point-spread-function is taken. Next, a noise component n of the signal is determined and the value of a result signal A(f) is calculated using the following filter A(f) = (D(f)P*(f))/P*(f)P(f) + n , where D(f) is the Fourier transform of the signal, P(f) is the Fourier transform of the point-spread-function, and P*(f) is the complex conjugate of P(f). Finally, the inverse Fourier transform of the result A(f) is taken and reported as A(t). Preferably, the point-spread-function is a Gaussian function having a standard deviation σ, where σ is determined using either an αβ tracker or the function .σ=(a+bt2)1/2, where a and b are constants. In a second aspect of the invention, a plurality of possible point-spread-functions of the signal are determined and the above-described method is applied using each PSF. The value of the largest point-spread-function which provides a non-negative result is determined, and the associated value of A(t) is reported. In a third aspect of the invention, a program storage device readable by a machine, tangibly embodying a program of instructions executable by a machine to perform the method steps of the first or the second aspects of the invention is provided.</p> |
