Resample uniform or nonuniform data to a new fixed rate. Perform decimation and linear or higher-order interpolation without introducing aliasing. Fill gaps in signals using autoregressive estimates.
|Decimation — decrease sample rate by integer factor|
|Decrease sample rate by integer factor|
|Fill gaps using autoregressive modeling|
|Fill missing values|
|Interpolation — increase sample rate by integer factor|
|1-D data interpolation (table lookup)|
|Interpolation FIR filter design|
|Piecewise Cubic Hermite Interpolating Polynomial (PCHIP)|
|Resample uniform or nonuniform data to new fixed rate|
|Cubic spline data interpolation|
|Upsample, apply FIR filter, and downsample|
|Increase sample rate by integer factor|
|Signal Analyzer||Visualize and compare multiple signals and spectra|
Use downsampling to obtain the polyphase components of a signal.
Aliasing is the distortion that occurs when copies of a signal's spectrum overlap. Downsampling can introduce aliasing.
Filter before downsampling to mitigate the distortion caused by aliasing.
Upsample a signal and see how upsampling can result in images.
Upsample a signal and apply a lowpass interpolation filter to remove imaging artifacts.
Simulate the output of a sample-and-hold system by upsampling and filtering a signal.
Decimate, interpolate, or change the sample rate of signals, with or without intermediate filtering.
Change the sample rates of a sinusoid and a recorded speech sample.
Implement filter banks using the