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[inav.git] / lib / main / CMSIS / DSP / Source / TransformFunctions / arm_dct4_f32.c
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1 /* ----------------------------------------------------------------------
2 * Project: CMSIS DSP Library
3 * Title: arm_dct4_f32.c
4 * Description: Processing function of DCT4 & IDCT4 F32
6 * $Date: 27. January 2017
7 * $Revision: V.1.5.1
9 * Target Processor: Cortex-M cores
10 * -------------------------------------------------------------------- */
12 * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
14 * SPDX-License-Identifier: Apache-2.0
16 * Licensed under the Apache License, Version 2.0 (the License); you may
17 * not use this file except in compliance with the License.
18 * You may obtain a copy of the License at
20 * www.apache.org/licenses/LICENSE-2.0
22 * Unless required by applicable law or agreed to in writing, software
23 * distributed under the License is distributed on an AS IS BASIS, WITHOUT
24 * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
25 * See the License for the specific language governing permissions and
26 * limitations under the License.
29 #include "arm_math.h"
31 /**
32 * @ingroup groupTransforms
35 /**
36 * @defgroup DCT4_IDCT4 DCT Type IV Functions
37 * Representation of signals by minimum number of values is important for storage and transmission.
38 * The possibility of large discontinuity between the beginning and end of a period of a signal
39 * in DFT can be avoided by extending the signal so that it is even-symmetric.
40 * Discrete Cosine Transform (DCT) is constructed such that its energy is heavily concentrated in the lower part of the
41 * spectrum and is very widely used in signal and image coding applications.
42 * The family of DCTs (DCT type- 1,2,3,4) is the outcome of different combinations of homogeneous boundary conditions.
43 * DCT has an excellent energy-packing capability, hence has many applications and in data compression in particular.
45 * DCT is essentially the Discrete Fourier Transform(DFT) of an even-extended real signal.
46 * Reordering of the input data makes the computation of DCT just a problem of
47 * computing the DFT of a real signal with a few additional operations.
48 * This approach provides regular, simple, and very efficient DCT algorithms for practical hardware and software implementations.
50 * DCT type-II can be implemented using Fast fourier transform (FFT) internally, as the transform is applied on real values, Real FFT can be used.
51 * DCT4 is implemented using DCT2 as their implementations are similar except with some added pre-processing and post-processing.
52 * DCT2 implementation can be described in the following steps:
53 * - Re-ordering input
54 * - Calculating Real FFT
55 * - Multiplication of weights and Real FFT output and getting real part from the product.
57 * This process is explained by the block diagram below:
58 * \image html DCT4.gif "Discrete Cosine Transform - type-IV"
60 * \par Algorithm:
61 * The N-point type-IV DCT is defined as a real, linear transformation by the formula:
62 * \image html DCT4Equation.gif
63 * where <code>k = 0,1,2,.....N-1</code>
64 *\par
65 * Its inverse is defined as follows:
66 * \image html IDCT4Equation.gif
67 * where <code>n = 0,1,2,.....N-1</code>
68 *\par
69 * The DCT4 matrices become involutory (i.e. they are self-inverse) by multiplying with an overall scale factor of sqrt(2/N).
70 * The symmetry of the transform matrix indicates that the fast algorithms for the forward
71 * and inverse transform computation are identical.
72 * Note that the implementation of Inverse DCT4 and DCT4 is same, hence same process function can be used for both.
74 * \par Lengths supported by the transform:
75 * As DCT4 internally uses Real FFT, it supports all the lengths 128, 512, 2048 and 8192.
76 * The library provides separate functions for Q15, Q31, and floating-point data types.
77 * \par Instance Structure
78 * The instances for Real FFT and FFT, cosine values table and twiddle factor table are stored in an instance data structure.
79 * A separate instance structure must be defined for each transform.
80 * There are separate instance structure declarations for each of the 3 supported data types.
82 * \par Initialization Functions
83 * There is also an associated initialization function for each data type.
84 * The initialization function performs the following operations:
85 * - Sets the values of the internal structure fields.
86 * - Initializes Real FFT as its process function is used internally in DCT4, by calling arm_rfft_init_f32().
87 * \par
88 * Use of the initialization function is optional.
89 * However, if the initialization function is used, then the instance structure cannot be placed into a const data section.
90 * To place an instance structure into a const data section, the instance structure must be manually initialized.
91 * Manually initialize the instance structure as follows:
92 * <pre>
93 *arm_dct4_instance_f32 S = {N, Nby2, normalize, pTwiddle, pCosFactor, pRfft, pCfft};
94 *arm_dct4_instance_q31 S = {N, Nby2, normalize, pTwiddle, pCosFactor, pRfft, pCfft};
95 *arm_dct4_instance_q15 S = {N, Nby2, normalize, pTwiddle, pCosFactor, pRfft, pCfft};
96 * </pre>
97 * where \c N is the length of the DCT4; \c Nby2 is half of the length of the DCT4;
98 * \c normalize is normalizing factor used and is equal to <code>sqrt(2/N)</code>;
99 * \c pTwiddle points to the twiddle factor table;
100 * \c pCosFactor points to the cosFactor table;
101 * \c pRfft points to the real FFT instance;
102 * \c pCfft points to the complex FFT instance;
103 * The CFFT and RFFT structures also needs to be initialized, refer to arm_cfft_radix4_f32()
104 * and arm_rfft_f32() respectively for details regarding static initialization.
106 * \par Fixed-Point Behavior
107 * Care must be taken when using the fixed-point versions of the DCT4 transform functions.
108 * In particular, the overflow and saturation behavior of the accumulator used in each function must be considered.
109 * Refer to the function specific documentation below for usage guidelines.
113 * @addtogroup DCT4_IDCT4
114 * @{
118 * @brief Processing function for the floating-point DCT4/IDCT4.
119 * @param[in] *S points to an instance of the floating-point DCT4/IDCT4 structure.
120 * @param[in] *pState points to state buffer.
121 * @param[in,out] *pInlineBuffer points to the in-place input and output buffer.
122 * @return none.
125 void arm_dct4_f32(
126 const arm_dct4_instance_f32 * S,
127 float32_t * pState,
128 float32_t * pInlineBuffer)
130 uint32_t i; /* Loop counter */
131 float32_t *weights = S->pTwiddle; /* Pointer to the Weights table */
132 float32_t *cosFact = S->pCosFactor; /* Pointer to the cos factors table */
133 float32_t *pS1, *pS2, *pbuff; /* Temporary pointers for input buffer and pState buffer */
134 float32_t in; /* Temporary variable */
137 /* DCT4 computation involves DCT2 (which is calculated using RFFT)
138 * along with some pre-processing and post-processing.
139 * Computational procedure is explained as follows:
140 * (a) Pre-processing involves multiplying input with cos factor,
141 * r(n) = 2 * u(n) * cos(pi*(2*n+1)/(4*n))
142 * where,
143 * r(n) -- output of preprocessing
144 * u(n) -- input to preprocessing(actual Source buffer)
145 * (b) Calculation of DCT2 using FFT is divided into three steps:
146 * Step1: Re-ordering of even and odd elements of input.
147 * Step2: Calculating FFT of the re-ordered input.
148 * Step3: Taking the real part of the product of FFT output and weights.
149 * (c) Post-processing - DCT4 can be obtained from DCT2 output using the following equation:
150 * Y4(k) = Y2(k) - Y4(k-1) and Y4(-1) = Y4(0)
151 * where,
152 * Y4 -- DCT4 output, Y2 -- DCT2 output
153 * (d) Multiplying the output with the normalizing factor sqrt(2/N).
156 /*-------- Pre-processing ------------*/
157 /* Multiplying input with cos factor i.e. r(n) = 2 * x(n) * cos(pi*(2*n+1)/(4*n)) */
158 arm_scale_f32(pInlineBuffer, 2.0f, pInlineBuffer, S->N);
159 arm_mult_f32(pInlineBuffer, cosFact, pInlineBuffer, S->N);
161 /* ----------------------------------------------------------------
162 * Step1: Re-ordering of even and odd elements as,
163 * pState[i] = pInlineBuffer[2*i] and
164 * pState[N-i-1] = pInlineBuffer[2*i+1] where i = 0 to N/2
165 ---------------------------------------------------------------------*/
167 /* pS1 initialized to pState */
168 pS1 = pState;
170 /* pS2 initialized to pState+N-1, so that it points to the end of the state buffer */
171 pS2 = pState + (S->N - 1U);
173 /* pbuff initialized to input buffer */
174 pbuff = pInlineBuffer;
176 #if defined (ARM_MATH_DSP)
178 /* Run the below code for Cortex-M4 and Cortex-M3 */
180 /* Initializing the loop counter to N/2 >> 2 for loop unrolling by 4 */
181 i = (uint32_t) S->Nby2 >> 2U;
183 /* First part of the processing with loop unrolling. Compute 4 outputs at a time.
184 ** a second loop below computes the remaining 1 to 3 samples. */
187 /* Re-ordering of even and odd elements */
188 /* pState[i] = pInlineBuffer[2*i] */
189 *pS1++ = *pbuff++;
190 /* pState[N-i-1] = pInlineBuffer[2*i+1] */
191 *pS2-- = *pbuff++;
193 *pS1++ = *pbuff++;
194 *pS2-- = *pbuff++;
196 *pS1++ = *pbuff++;
197 *pS2-- = *pbuff++;
199 *pS1++ = *pbuff++;
200 *pS2-- = *pbuff++;
202 /* Decrement the loop counter */
203 i--;
204 } while (i > 0U);
206 /* pbuff initialized to input buffer */
207 pbuff = pInlineBuffer;
209 /* pS1 initialized to pState */
210 pS1 = pState;
212 /* Initializing the loop counter to N/4 instead of N for loop unrolling */
213 i = (uint32_t) S->N >> 2U;
215 /* Processing with loop unrolling 4 times as N is always multiple of 4.
216 * Compute 4 outputs at a time */
219 /* Writing the re-ordered output back to inplace input buffer */
220 *pbuff++ = *pS1++;
221 *pbuff++ = *pS1++;
222 *pbuff++ = *pS1++;
223 *pbuff++ = *pS1++;
225 /* Decrement the loop counter */
226 i--;
227 } while (i > 0U);
230 /* ---------------------------------------------------------
231 * Step2: Calculate RFFT for N-point input
232 * ---------------------------------------------------------- */
233 /* pInlineBuffer is real input of length N , pState is the complex output of length 2N */
234 arm_rfft_f32(S->pRfft, pInlineBuffer, pState);
236 /*----------------------------------------------------------------------
237 * Step3: Multiply the FFT output with the weights.
238 *----------------------------------------------------------------------*/
239 arm_cmplx_mult_cmplx_f32(pState, weights, pState, S->N);
241 /* ----------- Post-processing ---------- */
242 /* DCT-IV can be obtained from DCT-II by the equation,
243 * Y4(k) = Y2(k) - Y4(k-1) and Y4(-1) = Y4(0)
244 * Hence, Y4(0) = Y2(0)/2 */
245 /* Getting only real part from the output and Converting to DCT-IV */
247 /* Initializing the loop counter to N >> 2 for loop unrolling by 4 */
248 i = ((uint32_t) S->N - 1U) >> 2U;
250 /* pbuff initialized to input buffer. */
251 pbuff = pInlineBuffer;
253 /* pS1 initialized to pState */
254 pS1 = pState;
256 /* Calculating Y4(0) from Y2(0) using Y4(0) = Y2(0)/2 */
257 in = *pS1++ * (float32_t) 0.5;
258 /* input buffer acts as inplace, so output values are stored in the input itself. */
259 *pbuff++ = in;
261 /* pState pointer is incremented twice as the real values are located alternatively in the array */
262 pS1++;
264 /* First part of the processing with loop unrolling. Compute 4 outputs at a time.
265 ** a second loop below computes the remaining 1 to 3 samples. */
268 /* Calculating Y4(1) to Y4(N-1) from Y2 using equation Y4(k) = Y2(k) - Y4(k-1) */
269 /* pState pointer (pS1) is incremented twice as the real values are located alternatively in the array */
270 in = *pS1++ - in;
271 *pbuff++ = in;
272 /* points to the next real value */
273 pS1++;
275 in = *pS1++ - in;
276 *pbuff++ = in;
277 pS1++;
279 in = *pS1++ - in;
280 *pbuff++ = in;
281 pS1++;
283 in = *pS1++ - in;
284 *pbuff++ = in;
285 pS1++;
287 /* Decrement the loop counter */
288 i--;
289 } while (i > 0U);
291 /* If the blockSize is not a multiple of 4, compute any remaining output samples here.
292 ** No loop unrolling is used. */
293 i = ((uint32_t) S->N - 1U) % 0x4U;
295 while (i > 0U)
297 /* Calculating Y4(1) to Y4(N-1) from Y2 using equation Y4(k) = Y2(k) - Y4(k-1) */
298 /* pState pointer (pS1) is incremented twice as the real values are located alternatively in the array */
299 in = *pS1++ - in;
300 *pbuff++ = in;
301 /* points to the next real value */
302 pS1++;
304 /* Decrement the loop counter */
305 i--;
309 /*------------ Normalizing the output by multiplying with the normalizing factor ----------*/
311 /* Initializing the loop counter to N/4 instead of N for loop unrolling */
312 i = (uint32_t) S->N >> 2U;
314 /* pbuff initialized to the pInlineBuffer(now contains the output values) */
315 pbuff = pInlineBuffer;
317 /* Processing with loop unrolling 4 times as N is always multiple of 4. Compute 4 outputs at a time */
320 /* Multiplying pInlineBuffer with the normalizing factor sqrt(2/N) */
321 in = *pbuff;
322 *pbuff++ = in * S->normalize;
324 in = *pbuff;
325 *pbuff++ = in * S->normalize;
327 in = *pbuff;
328 *pbuff++ = in * S->normalize;
330 in = *pbuff;
331 *pbuff++ = in * S->normalize;
333 /* Decrement the loop counter */
334 i--;
335 } while (i > 0U);
338 #else
340 /* Run the below code for Cortex-M0 */
342 /* Initializing the loop counter to N/2 */
343 i = (uint32_t) S->Nby2;
347 /* Re-ordering of even and odd elements */
348 /* pState[i] = pInlineBuffer[2*i] */
349 *pS1++ = *pbuff++;
350 /* pState[N-i-1] = pInlineBuffer[2*i+1] */
351 *pS2-- = *pbuff++;
353 /* Decrement the loop counter */
354 i--;
355 } while (i > 0U);
357 /* pbuff initialized to input buffer */
358 pbuff = pInlineBuffer;
360 /* pS1 initialized to pState */
361 pS1 = pState;
363 /* Initializing the loop counter */
364 i = (uint32_t) S->N;
368 /* Writing the re-ordered output back to inplace input buffer */
369 *pbuff++ = *pS1++;
371 /* Decrement the loop counter */
372 i--;
373 } while (i > 0U);
376 /* ---------------------------------------------------------
377 * Step2: Calculate RFFT for N-point input
378 * ---------------------------------------------------------- */
379 /* pInlineBuffer is real input of length N , pState is the complex output of length 2N */
380 arm_rfft_f32(S->pRfft, pInlineBuffer, pState);
382 /*----------------------------------------------------------------------
383 * Step3: Multiply the FFT output with the weights.
384 *----------------------------------------------------------------------*/
385 arm_cmplx_mult_cmplx_f32(pState, weights, pState, S->N);
387 /* ----------- Post-processing ---------- */
388 /* DCT-IV can be obtained from DCT-II by the equation,
389 * Y4(k) = Y2(k) - Y4(k-1) and Y4(-1) = Y4(0)
390 * Hence, Y4(0) = Y2(0)/2 */
391 /* Getting only real part from the output and Converting to DCT-IV */
393 /* pbuff initialized to input buffer. */
394 pbuff = pInlineBuffer;
396 /* pS1 initialized to pState */
397 pS1 = pState;
399 /* Calculating Y4(0) from Y2(0) using Y4(0) = Y2(0)/2 */
400 in = *pS1++ * (float32_t) 0.5;
401 /* input buffer acts as inplace, so output values are stored in the input itself. */
402 *pbuff++ = in;
404 /* pState pointer is incremented twice as the real values are located alternatively in the array */
405 pS1++;
407 /* Initializing the loop counter */
408 i = ((uint32_t) S->N - 1U);
412 /* Calculating Y4(1) to Y4(N-1) from Y2 using equation Y4(k) = Y2(k) - Y4(k-1) */
413 /* pState pointer (pS1) is incremented twice as the real values are located alternatively in the array */
414 in = *pS1++ - in;
415 *pbuff++ = in;
416 /* points to the next real value */
417 pS1++;
420 /* Decrement the loop counter */
421 i--;
422 } while (i > 0U);
425 /*------------ Normalizing the output by multiplying with the normalizing factor ----------*/
427 /* Initializing the loop counter */
428 i = (uint32_t) S->N;
430 /* pbuff initialized to the pInlineBuffer(now contains the output values) */
431 pbuff = pInlineBuffer;
435 /* Multiplying pInlineBuffer with the normalizing factor sqrt(2/N) */
436 in = *pbuff;
437 *pbuff++ = in * S->normalize;
439 /* Decrement the loop counter */
440 i--;
441 } while (i > 0U);
443 #endif /* #if defined (ARM_MATH_DSP) */
448 * @} end of DCT4_IDCT4 group