java 实现小波滤波完整代码实现加pom地址

以下是使用Java实现小波滤波的完整代码，包括pom.xml文件：

pom.xml文件：

<dependencies>
    <dependency>
        <groupId>junit</groupId>
        <artifactId>junit</artifactId>
        <version>4.12</version>
        <scope>test</scope>
    </dependency>
    <dependency>
        <groupId>commons-math</groupId>
        <artifactId>commons-math</artifactId>
        <version>2.2</version>
    </dependency>
</dependencies>

WaveletFilter.java文件：

import org.apache.commons.math3.transform.*;
import org.apache.commons.math3.complex.*;
import java.util.*;

public class WaveletFilter {

    private int levels;
    private double[] signal;
    private double[] lowPassFilter;
    private double[] highPassFilter;

    public WaveletFilter(double[] signal, int levels, String wavelet) {
        this.signal = signal;
        this.levels = levels;
        Wavelet waveletFunction = Wavelet.valueOf(wavelet.toUpperCase()).getWaveletFunction();
        this.lowPassFilter = waveletFunction.getScalingCoefficients();
        this.highPassFilter = waveletFunction.getWaveletCoefficients();
    }

    public double[] filter() throws MathIllegalArgumentException {
        double[] coefficients = Arrays.copyOf(signal, signal.length);
        for (int i = 0; i < levels; i++) {
            int length = coefficients.length / 2;
            double[] lowPass = new double[length];
            double[] highPass = new double[length];
            for (int j = 0, k = 0; k < length; j += 2, k++) {
                lowPass[k] = lowPassFilter[0] * coefficients[j];
                highPass[k] = highPassFilter[0] * coefficients[j];
                for (int n = 1; n < lowPassFilter.length; n++) {
                    int jIndex = (j + n) % coefficients.length;
                    int kIndex = (k + length) % coefficients.length;
                    lowPass[k] += lowPassFilter[n] * coefficients[jIndex];
                    highPass[k] += highPassFilter[n] * coefficients[jIndex];
                }
            }
            System.arraycopy(lowPass, 0, coefficients, 0, length);
            System.arraycopy(highPass, 0, coefficients, length, length);
        }
        return coefficients;
    }

    public static void main(String[] args) {
        double[] signal = {1, 2, 3, 4, 5, 6, 7, 8};
        WaveletFilter filter = new WaveletFilter(signal, 2, "db4");
        try {
            double[] coefficients = filter.filter();
            System.out.println(Arrays.toString(coefficients));
        } catch (MathIllegalArgumentException e) {
            e.printStackTrace();
        }
    }
}

在这个实现中，我们使用了Apache Commons Math库来进行小波变换。我们还实现了一个WaveletFilter类来执行小波滤波。在构造函数中，我们传递了信号，级别和小波类型。然后，我们从所选小波函数中获取低通滤波器和高通滤波器。在filter()方法中，我们使用这些滤波器对信号进行滤波，并返回滤波后的系数。main()方法用于测试我们的实现。