- What does an interpolation filter do?
- Which filter is used in interpolation?
- Is interpolation and upsampling same?
- What is interpolation signal processing?
What does an interpolation filter do?
Interpolation is the process of increasing the sampling frequency of a signal to a higher sampling frequency that differs from the original frequency by an integer value. Interpolation also is known as up-sampling.
Which filter is used in interpolation?
Polyphase filter implementation for the interpolation in Fig. 11.17 (4 multiplications and 3 additions for processing each input sample x(n)). For our example, L = 2 and N = 4, we have L − 1 = 1, and N/L − 1 = 1, respectively.
Is interpolation and upsampling same?
In digital signal processing, upsampling, expansion, and interpolation are terms associated with the process of resampling in a multi-rate digital signal processing system. Upsampling can be synonymous with expansion, or it can describe an entire process of expansion and filtering (interpolation).
What is interpolation signal processing?
In the domain of digital signal processing, the term interpolation refers to the process of converting a sampled digital signal (such as a sampled audio signal) to that of a higher sampling rate (Upsampling) using various digital filtering techniques (for example, convolution with a frequency-limited impulse signal).