
void  arm_fir_decimate_f32 (const arm_fir_decimate_instance_f32 *S, const float32_t *pSrc, float32_t *pDst, uint32_t blockSize) 
 Processing function for floatingpoint FIR decimator. More...


void  arm_fir_decimate_fast_q15 (const arm_fir_decimate_instance_q15 *S, const q15_t *pSrc, q15_t *pDst, uint32_t blockSize) 
 Processing function for the Q15 FIR decimator (fast variant). More...


void  arm_fir_decimate_fast_q31 (const arm_fir_decimate_instance_q31 *S, const q31_t *pSrc, q31_t *pDst, uint32_t blockSize) 
 Processing function for the Q31 FIR decimator (fast variant). More...


arm_status  arm_fir_decimate_init_f32 (arm_fir_decimate_instance_f32 *S, uint16_t numTaps, uint8_t M, const float32_t *pCoeffs, float32_t *pState, uint32_t blockSize) 
 Initialization function for the floatingpoint FIR decimator. More...


arm_status  arm_fir_decimate_init_q15 (arm_fir_decimate_instance_q15 *S, uint16_t numTaps, uint8_t M, const q15_t *pCoeffs, q15_t *pState, uint32_t blockSize) 
 Initialization function for the Q15 FIR decimator. More...


arm_status  arm_fir_decimate_init_q31 (arm_fir_decimate_instance_q31 *S, uint16_t numTaps, uint8_t M, const q31_t *pCoeffs, q31_t *pState, uint32_t blockSize) 
 Initialization function for the Q31 FIR decimator. More...


void  arm_fir_decimate_q15 (const arm_fir_decimate_instance_q15 *S, const q15_t *pSrc, q15_t *pDst, uint32_t blockSize) 
 Processing function for the Q15 FIR decimator. More...


void  arm_fir_decimate_q31 (const arm_fir_decimate_instance_q31 *S, const q31_t *pSrc, q31_t *pDst, uint32_t blockSize) 
 Processing function for the Q31 FIR decimator. More...


These functions combine an FIR filter together with a decimator. They are used in multirate systems for reducing the sample rate of a signal without introducing aliasing distortion. Conceptually, the functions are equivalent to the block diagram below:
Components included in the FIR Decimator functions
When decimating by a factor of M
, the signal should be prefiltered by a lowpass filter with a normalized cutoff frequency of 1/M
in order to prevent aliasing distortion. The user of the function is responsible for providing the filter coefficients.
The FIR decimator functions provided in the CMSIS DSP Library combine the FIR filter and the decimator in an efficient manner. Instead of calculating all of the FIR filter outputs and discarding M1
out of every M
, only the samples output by the decimator are computed. 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/M
output values. In order to have an integer number of output samples blockSize
must always be a multiple of the decimation factor M
.
The library provides separate functions for Q15, Q31 and floatingpoint data types.
 Algorithm:
 The FIR portion of the algorithm uses the standard form filter:
y[n] = b[0] * x[n] + b[1] * x[n1] + b[2] * x[n2] + ...+ b[numTaps1] * x[nnumTaps+1]
where, b[n]
are the filter coefficients.
 The
pCoeffs
points to a coefficient array of size numTaps
. Coefficients are stored in time reversed order.
{b[numTaps1], b[numTaps2], b[N2], ..., b[1], b[0]}
pState
points to a state array of size numTaps + blockSize  1
. Samples in the state buffer are stored in the order:
{x[nnumTaps+1], x[nnumTaps], x[nnumTaps1], x[nnumTaps2]....x[0], x[1], ..., x[blockSize1]}
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 size of the input is a multiple of the decimation factor. To do this manually without calling the init function, assign the follow subfields of the instance structure: numTaps, pCoeffs, M (decimation factor), pState. Also set all of the values in pState to zero.
 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
arm_fir_decimate_instance_f32 S = {M, numTaps, pCoeffs, pState};
arm_fir_decimate_instance_q31 S = {M, numTaps, pCoeffs, pState};
arm_fir_decimate_instance_q15 S = {M, numTaps, pCoeffs, pState};
where M
is the decimation factor; numTaps
is the number of filter coefficients in the filter; 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.
 FixedPoint Behavior
 Care must be taken when using the fixedpoint versions of the FIR decimate 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.
 Parameters

[in]  S  points to an instance of the floatingpoint FIR decimator structure 
[in]  pSrc  points to the block of input data 
[out]  pDst  points to the block of output data 
[in]  blockSize  number of samples to process 
 Returns
 none
Processing function for the Q15 FIR decimator (fast variant) for CortexM3 and CortexM4.
 Parameters

[in]  S  points to an instance of the Q15 FIR decimator 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 
 Returns
 none
 Scaling and Overflow Behavior
 This fast version uses a 32bit accumulator with 2.30 format. The accumulator maintains full precision of the intermediate multiplication results but provides only a single guard bit. Thus, if the accumulator result overflows it wraps around and distorts the result. In order to avoid overflows completely the input signal must be scaled down by log2(numTaps) bits (log2 is read as log to the base 2). The 2.30 accumulator is then truncated to 2.15 format and saturated to yield the 1.15 result.
Processing function for the Q31 FIR decimator (fast variant) for CortexM3 and CortexM4.
 Parameters

[in]  S  points to an instance of the Q31 FIR decimator structure 
[in]  pSrc  points to the block of input data 
[out]  pDst  points to the block of output data 
[in]  blockSize  number of samples to process 
 Returns
 none
 Scaling and Overflow Behavior
 This function is optimized for speed at the expense of fixedpoint precision and overflow protection. The result of each 1.31 x 1.31 multiplication is truncated to 2.30 format. These intermediate results are added to a 2.30 accumulator. Finally, the accumulator is saturated and converted to a 1.31 result. The fast version has the same overflow behavior as the standard version and provides less precision since it discards the low 32 bits of each multiplication result. In order to avoid overflows completely the input signal must be scaled down by log2(numTaps) bits (where log2 is read as log to the base 2).
 Parameters

[in,out]  S  points to an instance of the floatingpoint FIR decimator structure 
[in]  numTaps  number of coefficients in the filter 
[in]  M  decimation factor 
[in]  pCoeffs  points to the filter coefficients 
[in]  pState  points to the state buffer 
[in]  blockSize  number of input samples to process per call 
 Returns
 execution status
 Details
pCoeffs
points to the array of filter coefficients stored in time reversed order: {b[numTaps1], b[numTaps2], b[N2], ..., b[1], b[0]}
pState
points to the array of state variables. pState
is of length numTaps+blockSize1
words where blockSize
is the number of input samples passed to arm_fir_decimate_f32()
. M
is the decimation factor.
 Parameters

[in,out]  S  points to an instance of the Q15 FIR decimator structure 
[in]  numTaps  number of coefficients in the filter 
[in]  M  decimation factor 
[in]  pCoeffs  points to the filter coefficients 
[in]  pState  points to the state buffer 
[in]  blockSize  number of input samples to process 
 Returns
 execution status
 Details
pCoeffs
points to the array of filter coefficients stored in time reversed order: {b[numTaps1], b[numTaps2], b[N2], ..., b[1], b[0]}
pState
points to the array of state variables. pState
is of length numTaps+blockSize1
words where blockSize
is the number of input samples to the call arm_fir_decimate_q15()
. M
is the decimation factor.
 Parameters

[in,out]  S  points to an instance of the Q31 FIR decimator structure 
[in]  numTaps  number of coefficients in the filter 
[in]  M  decimation factor 
[in]  pCoeffs  points to the filter coefficients 
[in]  pState  points to the state buffer 
[in]  blockSize  number of input samples to process 
 Returns
 execution status
 Details
pCoeffs
points to the array of filter coefficients stored in time reversed order: {b[numTaps1], b[numTaps2], b[N2], ..., b[1], b[0]}
pState
points to the array of state variables. pState
is of length numTaps+blockSize1
words where blockSize
is the number of input samples passed to arm_fir_decimate_q31()
. M
is the decimation factor.
 Parameters

[in]  S  points to an instance of the Q15 FIR decimator 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 
 Returns
 none
 Scaling and Overflow Behavior
 The function is implemented using a 64bit internal accumulator. Both coefficients and state variables are represented in 1.15 format and multiplications yield a 2.30 result. The 2.30 intermediate results are accumulated in a 64bit accumulator in 34.30 format. There is no risk of internal overflow with this approach and the full precision of intermediate multiplications is preserved. After all additions have been performed, the accumulator is truncated to 34.15 format by discarding low 15 bits. Lastly, the accumulator is saturated to yield a result in 1.15 format.
 Parameters

[in]  S  points to an instance of the Q31 FIR decimator structure 
[in]  pSrc  points to the block of input data 
[out]  pDst  points to the block of output data 
[in]  blockSize  number of samples to process 
 Returns
 none
 Scaling and Overflow Behavior
 The function is implemented using an internal 64bit accumulator. The accumulator has a 2.62 format and maintains full precision of the intermediate multiplication results but provides only a single guard bit. Thus, if the accumulator result overflows it wraps around rather than clip. In order to avoid overflows completely the input signal must be scaled down by log2(numTaps) bits (where log2 is read as log to the base 2). After all multiplyaccumulates are performed, the 2.62 accumulator is truncated to 1.32 format and then saturated to 1.31 format.