import type { DoubleArray, NumberArray } from 'cheminfo-types';
export interface AirPLSOptions {
    /**
     * Maximal number of iterations if the method does not reach the stop criterion.
     * @default 100
     */
    maxIterations?: number;
    /**
     * Smoothing parameter. Factor of weights matrix in -> [I + lambda D'D]z = x.
     * @default 10
     */
    lambda?: number;
    /**
     * Factor of the sum of absolute value of original data, to compute stop criterion.
     * @default 0.001
     */
    tolerance?: number;
    /** Initial weights vector, default each point has the same weight. */
    weights?: NumberArray;
    /** Array of 0|1 to force the baseline to cross those points. */
    controlPoints?: NumberArray;
    /** Array of x axis ranges (as from - to), to force the baseline to cross those zones. */
    zones?: Array<{
        from: number;
        to: number;
    }>;
    /**
     * Enable automatic downsampling for large datasets to speed up computation.
     * @default false
     */
    autoDownsample?: boolean;
    /**
     * Maximum resolution (number of points) before downsampling is applied.
     * Only used if autoDownsample is true.
     * @default 5000
     */
    maxResolution?: number;
}
export interface AirPLSResult {
    /** The baseline-corrected data. */
    corrected: NumberArray;
    /** The estimated baseline. */
    baseline: NumberArray;
    /** The number of iterations performed. */
    iteration: number;
    /** The sum of negative differences (error). */
    error: number;
}
/**
 * Fit the baseline drift by iteratively changing weights of sum square error between the fitted baseline and original signals,
 * for further information about the parameters you can get the {@link https://github.com/zmzhang/airPLS/blob/main/airPLS_manuscript.pdf paper of airPLS}.
 * @param x - X axis data useful when control points or zones are submitted.
 * @param y - Original data.
 * @param options - Options object.
 * @returns An object containing the corrected data, baseline, iteration count, and error.
 */
export default function airPLS(x: DoubleArray, y: DoubleArray, options?: AirPLSOptions): AirPLSResult;
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