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("g
cbc3
etFilter失败！"); 
        } 
        return null; 
    } 
伦理片 http://www.dotdy.com/  
    /** 
     * 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