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Diffstat (limited to 'Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df1_32x64_q31.c')
-rw-r--r--Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df1_32x64_q31.c479
1 files changed, 194 insertions, 285 deletions
diff --git a/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df1_32x64_q31.c b/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df1_32x64_q31.c
index c77cc8e4e..9a284b8a9 100644
--- a/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df1_32x64_q31.c
+++ b/Drivers/CMSIS/DSP/Source/FilteringFunctions/arm_biquad_cascade_df1_32x64_q31.c
@@ -3,13 +3,13 @@
* Title: arm_biquad_cascade_df1_32x64_q31.c
* Description: High precision Q31 Biquad cascade filter processing function
*
- * $Date: 27. January 2017
- * $Revision: V.1.5.1
+ * $Date: 18. March 2019
+ * $Revision: V1.6.0
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
- * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
+ * Copyright (C) 2010-2019 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
@@ -29,174 +29,169 @@
#include "arm_math.h"
/**
- * @ingroup groupFilters
+ @ingroup groupFilters
*/
/**
- * @defgroup BiquadCascadeDF1_32x64 High Precision Q31 Biquad Cascade Filter
- *
- * This function implements a high precision Biquad cascade filter which operates on
- * Q31 data values. The filter coefficients are in 1.31 format and the state variables
- * are in 1.63 format. The double precision state variables reduce quantization noise
- * in the filter and provide a cleaner output.
- * These filters are particularly useful when implementing filters in which the
- * singularities are close to the unit circle. This is common for low pass or high
- * pass filters with very low cutoff frequencies.
- *
- * The function operates on blocks of input and output data
- * and each call to the function processes <code>blockSize</code> samples through
- * the filter. <code>pSrc</code> and <code>pDst</code> points to input and output arrays
- * containing <code>blockSize</code> Q31 values.
- *
- * \par Algorithm
- * Each Biquad stage implements a second order filter using the difference equation:
- * <pre>
- * y[n] = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2]
- * </pre>
- * A Direct Form I algorithm is used with 5 coefficients and 4 state variables per stage.
- * \image html Biquad.gif "Single Biquad filter stage"
- * Coefficients <code>b0, b1, and b2 </code> multiply the input signal <code>x[n]</code> and are referred to as the feedforward coefficients.
- * Coefficients <code>a1</code> and <code>a2</code> multiply the output signal <code>y[n]</code> and are referred to as the feedback coefficients.
- * Pay careful attention to the sign of the feedback coefficients.
- * Some design tools use the difference equation
- * <pre>
- * y[n] = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] - a1 * y[n-1] - a2 * y[n-2]
- * </pre>
- * In this case the feedback coefficients <code>a1</code> and <code>a2</code> must be negated when used with the CMSIS DSP Library.
- *
- * \par
- * Higher order filters are realized as a cascade of second order sections.
- * <code>numStages</code> refers to the number of second order stages used.
- * For example, an 8th order filter would be realized with <code>numStages=4</code> second order stages.
- * \image html BiquadCascade.gif "8th order filter using a cascade of Biquad stages"
- * A 9th order filter would be realized with <code>numStages=5</code> second order stages with the coefficients for one of the stages configured as a first order filter (<code>b2=0</code> and <code>a2=0</code>).
- *
- * \par
- * The <code>pState</code> points to state variables array .
- * Each Biquad stage has 4 state variables <code>x[n-1], x[n-2], y[n-1],</code> and <code>y[n-2]</code> and each state variable in 1.63 format to improve precision.
- * The state variables are arranged in the array as:
- * <pre>
- * {x[n-1], x[n-2], y[n-1], y[n-2]}
- * </pre>
- *
- * \par
- * The 4 state variables for stage 1 are first, then the 4 state variables for stage 2, and so on.
- * The state array has a total length of <code>4*numStages</code> values of data in 1.63 format.
- * The state variables are updated after each block of data is processed; the coefficients are untouched.
- *
- * \par 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 arrays cannot be shared.
- *
- * \par Init Function
- * There is also an associated initialization function which performs the following operations:
- * - Sets the values of the internal structure fields.
- * - Zeros out the values in the state buffer.
- * To do this manually without calling the init function, assign the follow subfields of the instance structure:
- * numStages, pCoeffs, postShift, pState. Also set all of the values in pState to zero.
- *
- * \par
- * 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.
- * Set the values in the state buffer to zeros before static initialization.
- * For example, to statically initialize the filter instance structure use
- * <pre>
- * arm_biquad_cas_df1_32x64_ins_q31 S1 = {numStages, pState, pCoeffs, postShift};
- * </pre>
- * where <code>numStages</code> is the number of Biquad stages in the filter; <code>pState</code> is the address of the state buffer;
- * <code>pCoeffs</code> is the address of the coefficient buffer; <code>postShift</code> shift to be applied which is described in detail below.
- * \par Fixed-Point Behavior
- * Care must be taken while using Biquad Cascade 32x64 filter function.
- * Following issues must be considered:
- * - Scaling of coefficients
- * - Filter gain
- * - Overflow and saturation
- *
- * \par
- * Filter coefficients are represented as fractional values and
- * restricted to lie in the range <code>[-1 +1)</code>.
- * The processing function has an additional scaling parameter <code>postShift</code>
- * which allows the filter coefficients to exceed the range <code>[+1 -1)</code>.
- * At the output of the filter's accumulator is a shift register which shifts the result by <code>postShift</code> bits.
- * \image html BiquadPostshift.gif "Fixed-point Biquad with shift by postShift bits after accumulator"
- * This essentially scales the filter coefficients by <code>2^postShift</code>.
- * For example, to realize the coefficients
- * <pre>
- * {1.5, -0.8, 1.2, 1.6, -0.9}
- * </pre>
- * set the Coefficient array to:
- * <pre>
- * {0.75, -0.4, 0.6, 0.8, -0.45}
- * </pre>
- * and set <code>postShift=1</code>
- *
- * \par
- * The second thing to keep in mind is the gain through the filter.
- * The frequency response of a Biquad filter is a function of its coefficients.
- * It is possible for the gain through the filter to exceed 1.0 meaning that the filter increases the amplitude of certain frequencies.
- * This means that an input signal with amplitude < 1.0 may result in an output > 1.0 and these are saturated or overflowed based on the implementation of the filter.
- * To avoid this behavior the filter needs to be scaled down such that its peak gain < 1.0 or the input signal must be scaled down so that the combination of input and filter are never overflowed.
- *
- * \par
- * The third item to consider is the overflow and saturation behavior of the fixed-point Q31 version.
- * This is described in the function specific documentation below.
+ @defgroup BiquadCascadeDF1_32x64 High Precision Q31 Biquad Cascade Filter
+
+ This function implements a high precision Biquad cascade filter which operates on
+ Q31 data values. The filter coefficients are in 1.31 format and the state variables
+ are in 1.63 format. The double precision state variables reduce quantization noise
+ in the filter and provide a cleaner output.
+ These filters are particularly useful when implementing filters in which the
+ singularities are close to the unit circle. This is common for low pass or high
+ pass filters with very low cutoff frequencies.
+
+ The function operates on blocks of input and output data
+ and each call to the function processes <code>blockSize</code> samples through
+ the filter. <code>pSrc</code> and <code>pDst</code> points to input and output arrays
+ containing <code>blockSize</code> Q31 values.
+
+ @par Algorithm
+ Each Biquad stage implements a second order filter using the difference equation:
+ <pre>
+ y[n] = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2]
+ </pre>
+ A Direct Form I algorithm is used with 5 coefficients and 4 state variables per stage.
+ \image html Biquad.gif "Single Biquad filter stage"
+ Coefficients <code>b0, b1 and b2 </code> multiply the input signal <code>x[n]</code> and are referred to as the feedforward coefficients.
+ Coefficients <code>a1</code> and <code>a2</code> multiply the output signal <code>y[n]</code> and are referred to as the feedback coefficients.
+ Pay careful attention to the sign of the feedback coefficients.
+ Some design tools use the difference equation
+ <pre>
+ y[n] = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] - a1 * y[n-1] - a2 * y[n-2]
+ </pre>
+ In this case the feedback coefficients <code>a1</code> and <code>a2</code> must be negated when used with the CMSIS DSP Library.
+ @par
+ Higher order filters are realized as a cascade of second order sections.
+ <code>numStages</code> refers to the number of second order stages used.
+ For example, an 8th order filter would be realized with <code>numStages=4</code> second order stages.
+ \image html BiquadCascade.gif "8th order filter using a cascade of Biquad stages"
+ A 9th order filter would be realized with <code>numStages=5</code> second order stages
+ with the coefficients for one of the stages configured as a first order filter
+ (<code>b2=0</code> and <code>a2=0</code>).
+ @par
+ The <code>pState</code> points to state variables array.
+ Each Biquad stage has 4 state variables <code>x[n-1], x[n-2], y[n-1],</code> and <code>y[n-2]</code> and each state variable in 1.63 format to improve precision.
+ The state variables are arranged in the array as:
+ <pre>
+ {x[n-1], x[n-2], y[n-1], y[n-2]}
+ </pre>
+ @par
+ The 4 state variables for stage 1 are first, then the 4 state variables for stage 2, and so on.
+ The state array has a total length of <code>4*numStages</code> values of data in 1.63 format.
+ The state variables are updated after each block of data is processed, the coefficients are untouched.
+
+ @par 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 arrays cannot be shared.
+
+ @par Init Function
+ There is also an associated initialization function which performs the following operations:
+ - Sets the values of the internal structure fields.
+ - Zeros out the values in the state buffer.
+ To do this manually without calling the init function, assign the follow subfields of the instance structure:
+ numStages, pCoeffs, postShift, pState. Also set all of the values in pState to zero.
+
+ @par
+ 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.
+ Set the values in the state buffer to zeros before static initialization.
+ For example, to statically initialize the filter instance structure use
+ <pre>
+ arm_biquad_cas_df1_32x64_ins_q31 S1 = {numStages, pState, pCoeffs, postShift};
+ </pre>
+ where <code>numStages</code> is the number of Biquad stages in the filter;
+ <code>pState</code> is the address of the state buffer;
+ <code>pCoeffs</code> is the address of the coefficient buffer;
+ <code>postShift</code> shift to be applied which is described in detail below.
+ @par Fixed-Point Behavior
+ Care must be taken while using Biquad Cascade 32x64 filter function.
+ Following issues must be considered:
+ - Scaling of coefficients
+ - Filter gain
+ - Overflow and saturation
+
+ @par
+ Filter coefficients are represented as fractional values and
+ restricted to lie in the range <code>[-1 +1)</code>.
+ The processing function has an additional scaling parameter <code>postShift</code>
+ which allows the filter coefficients to exceed the range <code>[+1 -1)</code>.
+ At the output of the filter's accumulator is a shift register which shifts the result by <code>postShift</code> bits.
+ \image html BiquadPostshift.gif "Fixed-point Biquad with shift by postShift bits after accumulator"
+ This essentially scales the filter coefficients by <code>2^postShift</code>.
+ For example, to realize the coefficients
+ <pre>
+ {1.5, -0.8, 1.2, 1.6, -0.9}
+ </pre>
+ set the Coefficient array to:
+ <pre>
+ {0.75, -0.4, 0.6, 0.8, -0.45}
+ </pre>
+ and set <code>postShift=1</code>
+ @par
+ The second thing to keep in mind is the gain through the filter.
+ The frequency response of a Biquad filter is a function of its coefficients.
+ It is possible for the gain through the filter to exceed 1.0 meaning that the
+ filter increases the amplitude of certain frequencies.
+ This means that an input signal with amplitude < 1.0 may result in an output > 1.0
+ and these are saturated or overflowed based on the implementation of the filter.
+ To avoid this behavior the filter needs to be scaled down such that its peak gain < 1.0
+ or the input signal must be scaled down so that the combination of input and filter are never overflowed.
+ @par
+ The third item to consider is the overflow and saturation behavior of the fixed-point Q31 version.
+ This is described in the function specific documentation below.
*/
/**
- * @addtogroup BiquadCascadeDF1_32x64
- * @{
+ @addtogroup BiquadCascadeDF1_32x64
+ @{
*/
/**
- * @details
-
- * @param[in] *S points to an instance of the high precision Q31 Biquad cascade filter.
- * @param[in] *pSrc points to the block of input data.
- * @param[out] *pDst points to the block of output data.
- * @param[in] blockSize number of samples to process.
- * @return none.
- *
- * \par
- * The function is implemented using an internal 64-bit 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 2 bits and lie in the range [-0.25 +0.25).
- * After all 5 multiply-accumulates are performed, the 2.62 accumulator is shifted by <code>postShift</code> bits and the result truncated to
- * 1.31 format by discarding the low 32 bits.
- *
- * \par
- * Two related functions are provided in the CMSIS DSP library.
- * <code>arm_biquad_cascade_df1_q31()</code> implements a Biquad cascade with 32-bit coefficients and state variables with a Q63 accumulator.
- * <code>arm_biquad_cascade_df1_fast_q31()</code> implements a Biquad cascade with 32-bit coefficients and state variables with a Q31 accumulator.
+ @brief Processing function for the Q31 Biquad cascade 32x64 filter.
+ @param[in] S points to an instance of the high precision Q31 Biquad cascade filter
+ @param[in] pSrc points to the block of input data
+ @param[out] pDst points to the block of output data
+ @param[in] blockSize number of samples to process
+ @return none
+
+ @par Details
+ The function is implemented using an internal 64-bit 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 2 bits and lie in the range [-0.25 +0.25).
+ After all 5 multiply-accumulates are performed, the 2.62 accumulator is shifted by <code>postShift</code> bits and the result truncated to
+ 1.31 format by discarding the low 32 bits.
+ @par
+ Two related functions are provided in the CMSIS DSP library.
+ - \ref arm_biquad_cascade_df1_q31() implements a Biquad cascade with 32-bit coefficients and state variables with a Q63 accumulator.
+ - \ref arm_biquad_cascade_df1_fast_q31() implements a Biquad cascade with 32-bit coefficients and state variables with a Q31 accumulator.
*/
void arm_biquad_cas_df1_32x64_q31(
const arm_biquad_cas_df1_32x64_ins_q31 * S,
- q31_t * pSrc,
- q31_t * pDst,
- uint32_t blockSize)
+ q31_t * pSrc,
+ q31_t * pDst,
+ uint32_t blockSize)
{
- q31_t *pIn = pSrc; /* input pointer initialization */
- q31_t *pOut = pDst; /* output pointer initialization */
- q63_t *pState = S->pState; /* state pointer initialization */
- q31_t *pCoeffs = S->pCoeffs; /* coeff pointer initialization */
- q63_t acc; /* accumulator */
- q31_t Xn1, Xn2; /* Input Filter state variables */
- q63_t Yn1, Yn2; /* Output Filter state variables */
- q31_t b0, b1, b2, a1, a2; /* Filter coefficients */
- q31_t Xn; /* temporary input */
- int32_t shift = (int32_t) S->postShift + 1; /* Shift to be applied to the output */
- uint32_t sample, stage = S->numStages; /* loop counters */
- q31_t acc_l, acc_h; /* temporary output */
- uint32_t uShift = ((uint32_t) S->postShift + 1U);
- uint32_t lShift = 32U - uShift; /* Shift to be applied to the output */
-
-
-#if defined (ARM_MATH_DSP)
-
- /* Run the below code for Cortex-M4 and Cortex-M3 */
+ q31_t *pIn = pSrc; /* input pointer initialization */
+ q31_t *pOut = pDst; /* output pointer initialization */
+ q63_t *pState = S->pState; /* state pointer initialization */
+ const q31_t *pCoeffs = S->pCoeffs; /* coeff pointer initialization */
+ q63_t acc; /* accumulator */
+ q31_t Xn1, Xn2; /* Input Filter state variables */
+ q63_t Yn1, Yn2; /* Output Filter state variables */
+ q31_t b0, b1, b2, a1, a2; /* Filter coefficients */
+ q31_t Xn; /* temporary input */
+ int32_t shift = (int32_t) S->postShift + 1; /* Shift to be applied to the output */
+ uint32_t sample, stage = S->numStages; /* loop counters */
+ q31_t acc_l, acc_h; /* temporary output */
+ uint32_t uShift = ((uint32_t) S->postShift + 1U);
+ uint32_t lShift = 32U - uShift; /* Shift to be applied to the output */
do
{
@@ -213,16 +208,16 @@ void arm_biquad_cas_df1_32x64_q31(
Yn1 = pState[2];
Yn2 = pState[3];
+#if defined (ARM_MATH_LOOPUNROLL)
+
/* Apply loop unrolling and compute 4 output values simultaneously. */
- /* The variable acc hold output value that is being computed and
- * stored in the destination buffer
+ /* Variable acc hold output value that is being computed and stored in destination buffer
* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2]
*/
+ /* Loop unrolling: Compute 4 outputs at a time */
sample = blockSize >> 2U;
- /* First part of the processing with loop unrolling. Compute 4 outputs at a time.
- ** a second loop below computes the remaining 1 to 3 samples. */
while (sample > 0U)
{
/* Read the input */
@@ -231,13 +226,13 @@ void arm_biquad_cas_df1_32x64_q31(
/* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */
/* acc = b0 * x[n] */
- acc = (q63_t) Xn *b0;
+ acc = (q63_t) Xn * b0;
/* acc += b1 * x[n-1] */
- acc += (q63_t) Xn1 *b1;
+ acc += (q63_t) Xn1 * b1;
/* acc += b[2] * x[n-2] */
- acc += (q63_t) Xn2 *b2;
+ acc += (q63_t) Xn2 * b2;
/* acc += a1 * y[n-1] */
acc += mult32x64(Yn1, a1);
@@ -266,13 +261,13 @@ void arm_biquad_cas_df1_32x64_q31(
/* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */
/* acc += b1 * x[n-1] */
- acc = (q63_t) Xn *b1;
+ acc = (q63_t) Xn * b1;
/* acc = b0 * x[n] */
- acc += (q63_t) Xn2 *b0;
+ acc += (q63_t) Xn2 * b0;
/* acc += b[2] * x[n-2] */
- acc += (q63_t) Xn1 *b2;
+ acc += (q63_t) Xn1 * b2;
/* acc += a1 * y[n-1] */
acc += mult32x64(Yn2, a1);
@@ -302,13 +297,13 @@ void arm_biquad_cas_df1_32x64_q31(
/* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */
/* acc = b0 * x[n] */
- acc = (q63_t) Xn1 *b0;
+ acc = (q63_t) Xn1 * b0;
/* acc += b1 * x[n-1] */
- acc += (q63_t) Xn2 *b1;
+ acc += (q63_t) Xn2 * b1;
/* acc += b[2] * x[n-2] */
- acc += (q63_t) Xn *b2;
+ acc += (q63_t) Xn * b2;
/* acc += a1 * y[n-1] */
acc += mult32x64(Yn1, a1);
@@ -336,13 +331,13 @@ void arm_biquad_cas_df1_32x64_q31(
/* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */
/* acc = b0 * x[n] */
- acc = (q63_t) Xn *b0;
+ acc = (q63_t) Xn * b0;
/* acc += b1 * x[n-1] */
- acc += (q63_t) Xn1 *b1;
+ acc += (q63_t) Xn1 * b1;
/* acc += b[2] * x[n-2] */
- acc += (q63_t) Xn2 *b2;
+ acc += (q63_t) Xn2 * b2;
/* acc += a1 * y[n-1] */
acc += mult32x64(Yn2, a1);
@@ -366,139 +361,55 @@ void arm_biquad_cas_df1_32x64_q31(
*(pOut + 3U) = acc_h;
/* Every time after the output is computed state should be updated. */
- /* The states should be updated as: */
- /* Xn2 = Xn1 */
- /* Xn1 = Xn */
- /* Yn2 = Yn1 */
- /* Yn1 = acc */
+ /* The states should be updated as: */
+ /* Xn2 = Xn1 */
+ /* Xn1 = Xn */
+ /* Yn2 = Yn1 */
+ /* Yn1 = acc */
Xn2 = Xn1;
Xn1 = Xn;
/* update output pointer */
pOut += 4U;
- /* decrement the loop counter */
- sample--;
- }
-
- /* If the blockSize is not a multiple of 4, compute any remaining output samples here.
- ** No loop unrolling is used. */
- sample = (blockSize & 0x3U);
-
- while (sample > 0U)
- {
- /* Read the input */
- Xn = *pIn++;
-
- /* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */
-
- /* acc = b0 * x[n] */
- acc = (q63_t) Xn *b0;
- /* acc += b1 * x[n-1] */
- acc += (q63_t) Xn1 *b1;
- /* acc += b[2] * x[n-2] */
- acc += (q63_t) Xn2 *b2;
- /* acc += a1 * y[n-1] */
- acc += mult32x64(Yn1, a1);
- /* acc += a2 * y[n-2] */
- acc += mult32x64(Yn2, a2);
-
- /* Every time after the output is computed state should be updated. */
- /* The states should be updated as: */
- /* Xn2 = Xn1 */
- /* Xn1 = Xn */
- /* Yn2 = Yn1 */
- /* Yn1 = acc */
- Xn2 = Xn1;
- Xn1 = Xn;
- Yn2 = Yn1;
- /* The result is converted to 1.63, Yn1 variable is reused */
- Yn1 = acc << shift;
-
- /* Calc lower part of acc */
- acc_l = acc & 0xffffffff;
-
- /* Calc upper part of acc */
- acc_h = (acc >> 32) & 0xffffffff;
-
- /* Apply shift for lower part of acc and upper part of acc */
- acc_h = (uint32_t) acc_l >> lShift | acc_h << uShift;
-
- /* Store the output in the destination buffer in 1.31 format. */
- *pOut++ = acc_h;
- /* Yn1 = acc << shift; */
-
- /* Store the output in the destination buffer in 1.31 format. */
-/* *pOut++ = (q31_t) (acc >> (32 - shift)); */
-
- /* decrement the loop counter */
+ /* decrement loop counter */
sample--;
}
- /* The first stage output is given as input to the second stage. */
- pIn = pDst;
-
- /* Reset to destination buffer working pointer */
- pOut = pDst;
-
- /* Store the updated state variables back into the pState array */
- /* Store the updated state variables back into the pState array */
- *pState++ = (q63_t) Xn1;
- *pState++ = (q63_t) Xn2;
- *pState++ = Yn1;
- *pState++ = Yn2;
-
- } while (--stage);
+ /* Loop unrolling: Compute remaining outputs */
+ sample = blockSize & 0x3U;
#else
- /* Run the below code for Cortex-M0 */
-
- do
- {
- /* Reading the coefficients */
- b0 = *pCoeffs++;
- b1 = *pCoeffs++;
- b2 = *pCoeffs++;
- a1 = *pCoeffs++;
- a2 = *pCoeffs++;
-
- /* Reading the state values */
- Xn1 = pState[0];
- Xn2 = pState[1];
- Yn1 = pState[2];
- Yn2 = pState[3];
-
- /* The variable acc hold output value that is being computed and
- * stored in the destination buffer
- * acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2]
- */
-
+ /* Initialize blkCnt with number of samples */
sample = blockSize;
+#endif /* #if defined (ARM_MATH_LOOPUNROLL) */
+
while (sample > 0U)
{
/* Read the input */
Xn = *pIn++;
/* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */
+
/* acc = b0 * x[n] */
- acc = (q63_t) Xn *b0;
+ acc = (q63_t) Xn * b0;
/* acc += b1 * x[n-1] */
- acc += (q63_t) Xn1 *b1;
+ acc += (q63_t) Xn1 * b1;
/* acc += b[2] * x[n-2] */
- acc += (q63_t) Xn2 *b2;
+ acc += (q63_t) Xn2 * b2;
/* acc += a1 * y[n-1] */
acc += mult32x64(Yn1, a1);
/* acc += a2 * y[n-2] */
acc += mult32x64(Yn2, a2);
/* Every time after the output is computed state should be updated. */
- /* The states should be updated as: */
- /* Xn2 = Xn1 */
- /* Xn1 = Xn */
- /* Yn2 = Yn1 */
- /* Yn1 = acc */
+ /* The states should be updated as: */
+ /* Xn2 = Xn1 */
+ /* Xn1 = Xn */
+ /* Yn2 = Yn1 */
+ /* Yn1 = acc */
Xn2 = Xn1;
Xn1 = Xn;
Yn2 = Yn1;
@@ -517,17 +428,16 @@ void arm_biquad_cas_df1_32x64_q31(
/* Store the output in the destination buffer in 1.31 format. */
*pOut++ = acc_h;
-
/* Yn1 = acc << shift; */
/* Store the output in the destination buffer in 1.31 format. */
- /* *pOut++ = (q31_t) (acc >> (32 - shift)); */
+/* *pOut++ = (q31_t) (acc >> (32 - shift)); */
- /* decrement the loop counter */
+ /* decrement loop counter */
sample--;
}
- /* The first stage output is given as input to the second stage. */
+ /* The first stage output is given as input to the second stage. */
pIn = pDst;
/* Reset to destination buffer working pointer */
@@ -541,9 +451,8 @@ void arm_biquad_cas_df1_32x64_q31(
} while (--stage);
-#endif /* #if defined (ARM_MATH_DSP) */
}
- /**
- * @} end of BiquadCascadeDF1_32x64 group
- */
+/**
+ @} end of BiquadCascadeDF1_32x64 group
+ */