Fast Interpolation of Complex Baseband Signals

版本 1.0.0.2 (315.1 KB) 作者: Ilias Konsoulas

This contribution contains 3 custom and easy to use interpolation routines that outperform the matlab functions resample.m and interp.m.

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更新时间 2021/12/31

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I provide 3 new interpolation (by a K factor) routines:

interp11.m is fast-convolution based and basically convolves the input signal with a sinc window.
interp21.m is based on zero-padding in the frequency domain.
interp31.m is a more elaborate zero-padding technique originating from a SAR Signal Processing book by professor M. Soumekh.

The following assumptions were made:

All input signals should be of even length, preferrably a power of 2.
All input signals should be in baseband.
The first sample x(1) corresponds to x[0].

It has been proven that for the provided chirp signal, all three routines run faster than matlab-provided routines resample.m and interp.m

Also, it has been proven that interp11.m is also the most accurate of all.

Run the interpdemo5.m to see the results.

Note: The interpolation is not performed on a given grid but is based on a factor K. This means that if the length of input signal x is Lx, the length of the output signal y will be Ly=K*Lx.

引用格式

Ilias Konsoulas (2024). Fast Interpolation of Complex Baseband Signals (https://www.mathworks.com/matlabcentral/fileexchange/104325-fast-interpolation-of-complex-baseband-signals), MATLAB Central File Exchange. 检索来源 2024/10/2.