Java调用MatLab进行FFT运算及滤波

1、使用MatLab2015b生成Jar包时，需要使用JDK1.7，使用1.8会报错；
2、使用MatLab做FFT运算代码
Java代码：
public double[] FFT(double[] input) {
        try {
            MWNumericArray para = new MWNumericArray(input, MWClassID.DOUBLE);
            Object[] result = tool.FFT(1, para);
            MWNumericArray b = (MWNumericArray) result[0];
            return b.getDoubleData();
        } catch (Exception e) {
            System.out.println("FFT失败！");
        }
        return input;
    }

MatLab代码
function [ output ] = FFT( input )
    N=length(input); %样点个数
    output=abs(fft(input(1:N))/N*2);%真实的幅值
end
3、使用MatLab做滤波
     /**
     * 生成滤波器
     * @param stop
     * @param pass
     * @return
     */
    public Object getFilter(int stop, int pass) {
        try {
            MWNumericArray stopA = new MWNumericArray(Double.valueOf(stop), MWClassID.DOUBLE);
            MWNumericArray passA = new MWNumericArray(Double.valueOf(pass), MWClassID.DOUBLE);
            Object[] result = tool.GetFilter(1, stopA, passA);
            return result[0];
        } catch (Exception e) {
            e.printStackTrace();
            System.out.println("getFilter失败！");
        }
        return null;
    }

    /**
     * 滤波
     * @param input
     * @return
     */
    public double[] Filter(double[] input) {
        try {
            if (filter == null) {
                filter = getFilter();
            }
            MWNumericArray para = new MWNumericArray(input, MWClassID.DOUBLE);
            Object[] result = tool.Filter(1, filter, para);
            MWNumericArray b = (MWNumericArray) result[0];
            return b.getDoubleData();
        } catch (Exception e) {
            e.printStackTrace();
            System.out.println("FilterHP10失败！");
        }
        return input;
    }

MatLab代码：
function [ output ] = GetFilter( input1,input2 )
    Fs = 15625;
    Fstop = input1;              % Stopband Frequency
    Fpass = input2;             % Passband Frequency
    Dstop = 0.001;           % Stopband Attenuation
    Dpass = 0.057501127785;  % Passband Ripple
    dens  = 20;              % Density Factor
    [N, Fo, Ao, W] = firpmord([Fstop, Fpass]/(Fs/2), [0 1], [Dstop, Dpass]);
    b  = firpm(N, Fo, Ao, W, {dens});
    output = dfilt.dffir(b);
end

function [ output ] = Filter(filterimpl, input)
    output=filter(filterimpl,input);
end