Resamples the input signal \(x[n]\) by the given arbitrary rate \(r\).

Parameters:¶

x: ArrayLike¶

The input signal \(x[n] = x(n T_s)\) with length \(L\).

rate: ArrayLike¶

The resampling rate \(r\). The rate can either be a scalar or an array of the same size as the input signal \(x[n]\).

mode: 'rate' | 'full' = 'rate'¶

The convolution mode.

• "rate": The output signal \(y[k]\) is aligned with the input signal, such that \(y[n] = x[n / r]\).

  In non-streaming mode, \((L - D) \cdot r\) output samples are produced. In streaming mode, the first call returns \((L - D) \cdot r\) output samples. On subsequent calls, \(L \cdot r\) output samples are produced.

• "full": The full convolution is performed, and the filter delay \(D\) is observed, such that \(y[n] = x[(n - D) / r]\).

  In non-streaming mode, \(L \cdot r\) output samples are produced. In streaming mode, each call returns \(L \cdot r\) output samples.

Returns:¶

The resampled signal \(y[n]\).

Examples¶

See the Farrow arbitrary resampler example.