82 lines
2.3 KiB
C++
82 lines
2.3 KiB
C++
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/*
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* SnsQuantization.hpp
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*
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* Copyright 2019 HIMSA II K/S - www.himsa.dk. Represented by EHIMA - www.ehima.com
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#ifndef SNS_QUANTIZATION_H_
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#define SNS_QUANTIZATION_H_
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#include <cstdint>
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#include "Datapoints.hpp"
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namespace Lc3Enc
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{
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class SnsQuantization
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{
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public: // methods
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SnsQuantization();
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virtual ~SnsQuantization();
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void registerDatapoints(DatapointContainer* datapoints);
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void run(const double* const scf);
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private: // methods
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void normalizeCandidate(int8_t* y, double* XQ, uint8_t N);
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void MPVQenum (
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int32_t& index,
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int32_t& lead_sign_ind,
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uint8_t dim_in, /* i : dimension of vec_in */
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int8_t vec_in[] /* i : PVQ integer pulse train */
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);
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uint32_t encPushSign(
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int8_t val,
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int32_t& next_sign_ind_in,
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int32_t index_in
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);
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public: // members
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static const uint8_t Nscales = 16;
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double scfQ[Nscales];
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uint8_t ind_LF;
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uint8_t ind_HF;
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uint8_t shape_j;
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uint8_t Gind;
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int32_t LS_indA;
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int32_t LS_indB;
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uint32_t index_joint_j;
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private: // members
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int32_t idxA;
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int32_t idxB;
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double t2rot[Nscales];
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int8_t sns_Y0[16];
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int8_t sns_Y1[10];
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int8_t sns_Y2[16];
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int8_t sns_Y3[16];
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double sns_XQ0[Nscales];
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double sns_XQ1[Nscales]; // do not minimize to 10 -> last 6 values are all zeros which is important for the inverse D-transform
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double sns_XQ2[Nscales];
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double sns_XQ3[Nscales];
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DatapointContainer* datapoints;
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};
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}//namespace Lc3Enc
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#endif // SNS_QUANTIZATION_H_
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