自适应线条增强技术应用：MATLAB开发中的自适应线条增强应用。

简介：
The function `ale` implements adaptive line enhancement utilizing the Least Mean Squares (LMS) algorithm and an adaptive FIR filter. This process enhances single-tone signals affected by white noise (characterized by mean `mu` and variance `sigma`). To execute this functionality, the Signal Processing Toolbox and Filter Design Toolbox are required. The function accepts the following inputs: `f`, representing the frequency of a sinusoidal wave; `fs`, indicating the sampling rate of the sinusoidal wave (at least 2*f); `mu` and `sigma`, denoting the mean and variance of the white noise, respectively; `mulms`, specifying the step parameter value within the LMS algorithm; `ncoef`, defining the number of coefficients for the FIR filter; and `dur`, representing the simulation time in terms of signal periods. The function produces a structure named `ALEstruct` containing several fields: `.weights`, which holds the filter weights obtained after iterative completion; `.error`, documenting the evolution of an error signal during simulation; `.output`, presenting the filtered output from the filter; `.signal`, providing a copy of the input signal; and `.desired`, reflecting what is needed within LMS adaptive scheme.