Filtering Functions

This function implements a high precision Biquad cascade filter which operates on Q31 data values.

This set of functions implements arbitrary order recursive (IIR) filters.

This set of functions implements arbitrary order recursive (IIR) filters using a transposed direct form II structure.

Convolution is a mathematical operation that operates on two finite length vectors to generate a finite length output vector.

Partial Convolution is equivalent to Convolution except that a subset of the output samples is generated.

Correlation is a mathematical operation that is similar to convolution.

These functions combine an FIR filter together with a decimator.

This set of functions implements Finite Impulse Response (FIR) filters for Q7, Q15, Q31, and floating-point data types.

This set of functions implements Finite Impulse Response (FIR) lattice filters for Q15, Q31 and floating-point data types.

This group of functions implements sparse FIR filters.

This set of functions implements lattice filters for Q15, Q31 and floating-point data types.

LMS filters are a class of adaptive filters that are able to "learn" an unknown transfer functions.

This set of functions implements a commonly used adaptive filter.

These functions combine an upsampler (zero stuffer) and an FIR filter.