Finite Impulse Response (FIR) Interpolation

Functions
ne10_result_t	ne10_fir_interpolate_init_float (ne10_fir_interpolate_instance_f32_t *S, ne10_uint8_t L, ne10_uint16_t numTaps, ne10_float32_t *pCoeffs, ne10_float32_t *pState, ne10_uint32_t blockSize)
	Initialization function for the floating-point FIR interpolator. More...
void	ne10_fir_interpolate_float_c (const ne10_fir_interpolate_instance_f32_t *S, ne10_float32_t *pSrc, ne10_float32_t *pDst, ne10_uint32_t blockSize)
	Specific implementation of ne10_fir_interpolate_float using plain C. More...
void	ne10_fir_interpolate_float_neon (const ne10_fir_interpolate_instance_f32_t *S, ne10_float32_t *pSrc, ne10_float32_t *pDst, ne10_uint32_t blockSize) asm("ne10_fir_interpolate_float_neon")
	Specific implementation of ne10_fir_interpolate_float using NEON SIMD capabilities. More...

Variables
void(*	ne10_fir_interpolate_float )(const ne10_fir_interpolate_instance_f32_t *S, ne10_float32_t *pSrc, ne10_float32_t *pDst, ne10_uint32_t blockSize)
	Processing function for the floating-point FIR interpolator. More...

Detailed Description

These functions combine an upsampler (zero stuffer) and an FIR filter. They are used in multirate systems for increasing the sample rate of a signal without introducing high frequency images. Conceptually, the functions are equivalent to the block diagram below:

Components included in the FIR Interpolator functions

After upsampling by a factor of L, the signal should be filtered by a lowpass filter with a normalized cutoff frequency of 1/L in order to eliminate high frequency copies of the spectrum. The user of the function is responsible for providing the filter coefficients.

The FIR interpolator functions provided in the CMSIS DSP Library combine the upsampler and FIR filter in an efficient manner. The upsampler inserts L-1 zeros between each sample. Instead of multiplying by these zero values, the FIR filter is designed to skip them. This leads to an efficient implementation without any wasted effort. The functions operate on blocks of input and output data. pSrc points to an array of blockSize input values and pDst points to an array of blockSize*L output values.

The library provides functions for floating-point data types.

Algorithm:

The functions use a polyphase filter structure:

   y[n] = b[0] * x[n] + b[L]   * x[n-1] + ... + b[L*(phaseLength-1)] * x[n-phaseLength+1]
   y[n+1] = b[1] * x[n] + b[L+1] * x[n-1] + ... + b[L*(phaseLength-1)+1] * x[n-phaseLength+1]
   ...
   y[n+(L-1)] = b[L-1] * x[n] + b[2*L-1] * x[n-1] + ....+ b[L*(phaseLength-1)+(L-1)] * x[n-phaseLength+1]

This approach is more efficient than straightforward upsample-then-filter algorithms. With this method the computation is reduced by a factor of 1/L when compared to using a standard FIR filter.

pCoeffs points to a coefficient array of size numTaps. numTaps must be a multiple of the interpolation factor L and this is checked by the initialization functions. Internally, the function divides the FIR filter's impulse response into shorter filters of length phaseLength=numTaps/L. Coefficients are stored in time reversed order.

   {b[numTaps-1], b[numTaps-2], b[N-2], ..., b[1], b[0]}

pState points to a state array of size blockSize + phaseLength - 1. Samples in the state buffer are stored in the order:

   {x[n-phaseLength+1], x[n-phaseLength], x[n-phaseLength-1], x[n-phaseLength-2]....x[0], x[1], ..., x[blockSize-1]}

The state variables are updated after each block of data is processed, the coefficients are untouched.

Instance Structure

The coefficients and state variables for a filter are stored together in an instance data structure. A separate instance structure must be defined for each filter. Coefficient arrays may be shared among several instances while state variable array should be allocated separately. There are separate instance structure declarations for each of the 3 supported data types.

Initialization Functions

There is also an associated initialization function for each data type. The initialization function performs the following operations:

• Sets the values of the internal structure fields.
• Zeros out the values in the state buffer.
• Checks to make sure that the length of the filter is a multiple of the interpolation factor.

Use of the initialization function is optional. However, if the initialization function is used, then the instance structure cannot be placed into a const data section. To place an instance structure into a const data section, the instance structure must be manually initialized. The code below statically initializes each of the 3 different data type filter instance structures

ne10_fir_interpolate_instance_f32_t S = {L, phaseLength, pCoeffs, pState};

where L is the interpolation factor; phaseLength=numTaps/L is the length of each of the shorter FIR filters used internally, pCoeffs is the address of the coefficient buffer; pState is the address of the state buffer. Be sure to set the values in the state buffer to zeros when doing static initialization.

Fixed-Point Behavior

Care must be taken when using the fixed-point versions of the FIR interpolate filter functions. In particular, the overflow and saturation behavior of the accumulator used in each function must be considered. Refer to the function specific documentation below for usage guidelines.

Function Documentation

void ne10_fir_interpolate_float_c	(	const ne10_fir_interpolate_instance_f32_t *	S,
		ne10_float32_t *	pSrc,
		ne10_float32_t *	pDst,
		ne10_uint32_t	blockSize
	)

Specific implementation of ne10_fir_interpolate_float using plain C.

Definition at line 679 of file NE10_fir.c.

void ne10_fir_interpolate_float_neon	(	const ne10_fir_interpolate_instance_f32_t *	S,
		ne10_float32_t *	pSrc,
		ne10_float32_t *	pDst,
		ne10_uint32_t	blockSize
	)

Specific implementation of ne10_fir_interpolate_float using NEON SIMD capabilities.

ne10_result_t ne10_fir_interpolate_init_float	(	ne10_fir_interpolate_instance_f32_t *	S,
		ne10_uint8_t	L,
		ne10_uint16_t	numTaps,
		ne10_float32_t *	pCoeffs,
		ne10_float32_t *	pState,
		ne10_uint32_t	blockSize
	)

Initialization function for the floating-point FIR interpolator.

Parameters

[in,out]	*S	points to an instance of the floating-point FIR interpolator structure.
[in]	L	upsample factor.
[in]	numTaps	number of filter coefficients in the filter.
[in]	*pCoeffs	points to the filter coefficient buffer.
[in]	*pState	points to the state buffer.
[in]	blockSize	number of input samples to process per call.

Returns

The function returns NE10_OK if initialization was successful or NE10_ERR if the filter length numTaps is not a multiple of the interpolation factor L.

Description:

pCoeffs points to the array of filter coefficients stored in time reversed order:

   {b[numTaps-1], b[numTaps-2], b[numTaps-2], ..., b[1], b[0]}

The length of the filter numTaps must be a multiple of the interpolation factor L.

pState points to the array of state variables. pState is of length (numTaps/L)+blockSize-1 words where blockSize is the number of input samples processed by each call to arm_fir_interpolate_f32().

Definition at line 164 of file NE10_fir_init.c.

Variable Documentation

void(* ne10_fir_interpolate_float) (const ne10_fir_interpolate_instance_f32_t *S, ne10_float32_t *pSrc, ne10_float32_t *pDst, ne10_uint32_t blockSize)

Processing function for the floating-point FIR interpolator.

Parameters

[in]	*S	points to an instance of the floating-point FIR interpolator structure.
[in]	*pSrc	points to the block of input data.
[out]	*pDst	points to the block of output data.
[in]	blockSize	number of input samples to process per call.

Points to ne10_fir_interpolate_float_c or ne10_fir_interpolate_float_neon.

Definition at line 174 of file NE10_init_dsp.c.