dask.array.sinc(*args, **kwargs)

Return the normalized sinc function.

This docstring was copied from numpy.sinc.

Some inconsistencies with the Dask version may exist.

The sinc function is \(\sin(\pi x)/(\pi x)\).


Note the normalization factor of pi used in the definition. This is the most commonly used definition in signal processing. Use sinc(x / np.pi) to obtain the unnormalized sinc function \(\sin(x)/(x)\) that is more common in mathematics.

xndarray (Not supported in Dask)

Array (possibly multi-dimensional) of values for which to to calculate sinc(x).


sinc(x), which has the same shape as the input.


sinc(0) is the limit value 1.

The name sinc is short for “sine cardinal” or “sinus cardinalis”.

The sinc function is used in various signal processing applications, including in anti-aliasing, in the construction of a Lanczos resampling filter, and in interpolation.

For bandlimited interpolation of discrete-time signals, the ideal interpolation kernel is proportional to the sinc function.



Weisstein, Eric W. “Sinc Function.” From MathWorld–A Wolfram Web Resource. http://mathworld.wolfram.com/SincFunction.html


Wikipedia, “Sinc function”, https://en.wikipedia.org/wiki/Sinc_function


>>> import matplotlib.pyplot as plt  
>>> x = np.linspace(-4, 4, 41)  
>>> np.sinc(x)  
 array([-3.89804309e-17,  -4.92362781e-02,  -8.40918587e-02, # may vary
        -8.90384387e-02,  -5.84680802e-02,   3.89804309e-17,
        6.68206631e-02,   1.16434881e-01,   1.26137788e-01,
        8.50444803e-02,  -3.89804309e-17,  -1.03943254e-01,
        -1.89206682e-01,  -2.16236208e-01,  -1.55914881e-01,
        3.89804309e-17,   2.33872321e-01,   5.04551152e-01,
        7.56826729e-01,   9.35489284e-01,   1.00000000e+00,
        9.35489284e-01,   7.56826729e-01,   5.04551152e-01,
        2.33872321e-01,   3.89804309e-17,  -1.55914881e-01,
       -2.16236208e-01,  -1.89206682e-01,  -1.03943254e-01,
       -3.89804309e-17,   8.50444803e-02,   1.26137788e-01,
        1.16434881e-01,   6.68206631e-02,   3.89804309e-17,
        -5.84680802e-02,  -8.90384387e-02,  -8.40918587e-02,
        -4.92362781e-02,  -3.89804309e-17])
>>> plt.plot(x, np.sinc(x))  
[<matplotlib.lines.Line2D object at 0x...>]
>>> plt.title("Sinc Function")  
Text(0.5, 1.0, 'Sinc Function')
>>> plt.ylabel("Amplitude")  
Text(0, 0.5, 'Amplitude')
>>> plt.xlabel("X")  
Text(0.5, 0, 'X')
>>> plt.show()