math_07.cc

这是一个从音频信号里提取特征参量的程序

    else if (operation_d(j) == (long)ADD) {
      
      computeAddFloat(output_a, tmp_input);
    }

    //  Operation: SUBTRACT
    //
    else if (operation_d(j) == (long)SUBTRACT) {
      
      computeSubFloat(output_a, tmp_input);
    }

    //  Operation: MULTIPLY
    //
    else if (operation_d(j) == (long)MULTIPLY) {
      
      computeMultFloat(output_a, tmp_input);
    }
    
    //  Operation: DIVIDE
    //
    else if (operation_d(j) == (long)DIVIDE) {
      
      computeDivFloat(output_a, tmp_input);
    }
    
    // invalid operation
    //
    else {
      return Error::handle(name(), L"computeFuncCalcEnumerateFloat",
			   ERR_UNKOPE, __FILE__, __LINE__);
    }
  }
  
  // add the constant term
  //
  if (output_a.getDataType() == AlgorithmData::VECTOR_FLOAT) {
    output_a.getVectorFloat().add((float)const_d);
  }
  else {
    output_a.getMatrixFloat().add((float)const_d);
  }
  
  // exit gracefully
  //
  return true;
}

// method: computeAddFloat
//
// arguments:
//  AlgorithmData& output: (input/output) 1st operand and output
//  const AlgorithmData& input: (input) 2nd operand
//
// return: logical error status
//
boolean Math::computeAddFloat(AlgorithmData& output_a,
			      const AlgorithmData& input_a) const {
  
  if (input_a.getDataType() == AlgorithmData::VECTOR_FLOAT) {
    
    long ilen = input_a.getVectorFloat().length();
    
    if (output_a.getDataType() == AlgorithmData::VECTOR_FLOAT) {
      
      long olen = output_a.getVectorFloat().length();
      
      // if either input is of length 1, perform scalar addition
      //
      if (ilen == 1) {
	float scalar = input_a.getVectorFloat()(0);
	return output_a.getVectorFloat().add(scalar);
      }
      else if (olen == 1) {
	float scalar = output_a.getVectorFloat()(0);
	return output_a.getVectorFloat().add(input_a.getVectorFloat(), scalar);
      }
      
      // if they are the same length, do vector addition
      //
      else if (ilen == olen) {
	return output_a.getVectorFloat().add(input_a.getVectorFloat());
      }
      
      // else error
      //
      else {
	return Error::handle(name(), L"computeAddFloat", ERR_MATCH,
			     __FILE__, __LINE__);
      }
    }
    
    // 1 vector, 1 matrix. if the vector is of length 1, treat it as a
    // scalar
    //
    else if (output_a.getDataType() == AlgorithmData::MATRIX_FLOAT) {
      
      if (ilen == 1) {
	float scalar = input_a.getVectorFloat()(0);
	return output_a.getMatrixFloat().add(scalar);
      }
      else {
	return Error::handle(name(), L"computeAddFloat", ERR_MATCH,
			     __FILE__, __LINE__);
      }
    }
  }
  
  else if (input_a.getDataType() == AlgorithmData::MATRIX_FLOAT) {
    
    // 1 vector, 1 matrix. if the vector is of length 1, treat it as a
    // scalar
    //
    if (output_a.getDataType() == AlgorithmData::VECTOR_FLOAT) {
      long olen = output_a.getVectorFloat().length();
      if (olen == 1) {
	float scalar = output_a.getVectorFloat()(0);
	return output_a.makeMatrixFloat().add(input_a.getMatrixFloat(), scalar);
      }
      else {
	return Error::handle(name(), L"computeAddFloat", ERR_MATCH, __FILE__,
			     __LINE__);
      }
    }
    
    // if both are matrices, just add them
    //
    else if (output_a.getDataType() == AlgorithmData::MATRIX_FLOAT) {
      return output_a.getMatrixFloat().add(input_a.getMatrixFloat());
    }
  }
  
  // exit gracefully
  //
  return true;
}


// method: computeSubFloat
//
// arguments:
//  AlgorithmData& output: (input/output) 1st operand and output
//  const AlgorithmData& input: (input) 2nd operand
//
// return: logical error status
//
boolean Math::computeSubFloat(AlgorithmData& output_a,
			      const AlgorithmData& input_a) const {
  
  if (input_a.getDataType() == AlgorithmData::VECTOR_FLOAT) {
    
    long ilen = input_a.getVectorFloat().length();
    
    if (output_a.getDataType() == AlgorithmData::VECTOR_FLOAT) {
      
      long olen = output_a.getVectorFloat().length();
      
      // if either input is of length 1, perform scalar subtraction
      //
      if (ilen == 1) {
	float scalar = input_a.getVectorFloat()(0);
	return output_a.getVectorFloat().sub(scalar);
      }
      else if (olen == 1) {
	
	// note this is different from addition since the operation is
	// not cummative
	//
	float scalar = output_a.getVectorFloat()(0);
	output_a.getVectorFloat().setLength(ilen);
	output_a.getVectorFloat().assign(scalar);
	return output_a.getVectorFloat().sub(input_a.getVectorFloat());
      }
      
      // if they are the same length, do vector subtraction
      //
      else if (ilen == olen) {
	return output_a.getVectorFloat().sub(input_a.getVectorFloat());
      }
      
      // else error
      //
      else {
	return Error::handle(name(), L"computeSubFloat", ERR_MATCH,
			     __FILE__, __LINE__);
      }
    }
    
    // 1 vector, 1 matrix. if the vector is of length 1, treat it as a
    // scalar
    //
    else if (output_a.getDataType() == AlgorithmData::MATRIX_FLOAT) {
      
      if (ilen == 1) {
	float scalar = input_a.getVectorFloat()(0);
	return output_a.getMatrixFloat().sub(scalar);
      }
      else {
	return Error::handle(name(), L"computeSubFloat", ERR_MATCH,
			     __FILE__, __LINE__);
      }
    }
  }
  
  else if (input_a.getDataType() == AlgorithmData::MATRIX_FLOAT) {
    
    // 1 vector, 1 matrix. if the vector is of length 1, treat it as a
    // scalar
    //
    if (output_a.getDataType() == AlgorithmData::VECTOR_FLOAT) {
      long olen = output_a.getVectorFloat().length();
      if (olen == 1) {
	
	// note this is different from addition since the operation is
	// not cummative
	//
	float scalar = output_a.getVectorFloat()(0);
	output_a.makeMatrixFloat().setDimensions(input_a.getMatrixFloat());
	output_a.getMatrixFloat().assign(scalar);
	return output_a.getMatrixFloat().sub(input_a.getMatrixFloat());
      }
      else {
	return Error::handle(name(), L"computeSubFloat", ERR_MATCH, __FILE__,
			     __LINE__);
      }
    }
    
    // if both are matrices, just subtract them
    //
    else if (output_a.getDataType() == AlgorithmData::MATRIX_FLOAT) {
      return output_a.getMatrixFloat().sub(input_a.getMatrixFloat());
    }
  }
  
  // exit gracefully
  //
  return true;
}


// method: computeMultFloat
//
// arguments:
//  AlgorithmData& output: (input/output) 1st operand and output
//  const AlgorithmData& input: (input) 2nd operand
//
// return: logical error status
//
boolean Math::computeMultFloat(AlgorithmData& output_a,
			       const AlgorithmData& input_a) const {
  
  if (input_a.getDataType() == AlgorithmData::VECTOR_FLOAT) {
    
    long ilen = input_a.getVectorFloat().length();
    
    if (output_a.getDataType() == AlgorithmData::VECTOR_FLOAT) {
      
      long olen = output_a.getVectorFloat().length();
      
      // if either input is of length 1, perform scalar multiplication
      //
      if (ilen == 1) {
	float scalar = input_a.getVectorFloat()(0);
	return output_a.getVectorFloat().mult(scalar);
      }
      else if (olen == 1) {

	float scalar = output_a.getVectorFloat()(0);
	return output_a.getVectorFloat().mult(input_a.getVectorFloat(), scalar);
      }
      
      // if they are the same length, do vector multiplication
      //
      else if (ilen == olen) {
	return output_a.getVectorFloat().mult(input_a.getVectorFloat());
      }

      // else error
      //
      else {
	return Error::handle(name(), L"computeMultFloat", ERR_MATCH,
			     __FILE__, __LINE__);
      }
    }
    else if (output_a.getDataType() == AlgorithmData::MATRIX_FLOAT) {

      // if the vector is length 1, do scalar multiplication
      //
      if (ilen == 1) {
	float scalar = input_a.getVectorFloat()(0);
	return output_a.getMatrixFloat().mult(scalar);
      }
      
      // if the vector is the correct length for multv, do it
      //
      else if (ilen == output_a.getMatrixFloat().getNumColumns()) {
	VectorFloat tmp_out;
	output_a.getMatrixFloat().multv(tmp_out, input_a.getVectorFloat());
	output_a.makeVectorFloat().assign(tmp_out);
      }
      
      // else error
      //
      else {
	return Error::handle(name(), L"computeMultFloat", ERR_MATCH,
			     __FILE__, __LINE__);
      }
    }
  }
  
  // input is a matrix
  //
  else if (input_a.getDataType() == AlgorithmData::MATRIX_FLOAT) {
    
    if (output_a.getDataType() == AlgorithmData::VECTOR_FLOAT) {
      
      long olen = output_a.getVectorFloat().length();
      
      // if the vector is of length 1, do scalar multiplication
      //
      if (olen == 1) {
	float scalar = output_a.getVectorFloat()(0);
	output_a.makeMatrixFloat().assign(input_a.getMatrixFloat());
	return output_a.getMatrixFloat().mult(scalar);
      }
      
      // if the vector is the correct length for vmult, do it
      //
      else if (olen == input_a.getMatrixFloat().getNumRows()) {
	
	VectorFloat tmp_out;
	input_a.getMatrixFloat().vmult(tmp_out, output_a.getVectorFloat());
	output_a.getVectorFloat().assign(tmp_out);
      }
      
      // else error
      //
      else {
	return Error::handle(name(), L"computeMultFloat", ERR_MATCH,
			     __FILE__, __LINE__);
      }
    }
    else if (output_a.getDataType() == AlgorithmData::MATRIX_FLOAT) {
      
      return output_a.getMatrixFloat().mult(input_a.getMatrixFloat());
    }
  }
  
  // exit gracefully
  //
  return true;
}


// method: computeDivFloat
//
// arguments:
//  AlgorithmData& output: (input/output) 1st operand and output
//  const AlgorithmData& input: (input) 2nd operand
//
// return: logical error status
//
// this method compute value for float type
//
boolean Math::computeDivFloat(AlgorithmData& output_a,
			      const AlgorithmData& input_a) const {  
  
  // vector-matrix division is possible only if length of the
  // vector is 1. no other matrix division is possible
  //
  if ((input_a.getDataType() == AlgorithmData::VECTOR_FLOAT) &&
      (output_a.getDataType() == AlgorithmData::MATRIX_FLOAT)) {      
    
    if (input_a.getVectorFloat().length() > 1) {
      return Error::handle(name(), L"computeDiv_Float",
			   ERR_MATCH, __FILE__, __LINE__);
    }
    VectorFloat vec(input_a.getVectorFloat());
    float scalar = vec(0);
    output_a.getMatrixFloat().div(scalar);
  }
  
  // both inputs are vectors
  //
  else if ((input_a.getDataType() == AlgorithmData::VECTOR_FLOAT) &&
	   (output_a.getDataType() == AlgorithmData::VECTOR_FLOAT)) {
    
    // if the input is of length 1, do scalar division
    //
    if (input_a.getVectorFloat().length() == 1) {
      float scalar = input_a.getVectorFloat()(0);
      
      return output_a.getVectorFloat().div(scalar);
    }
    
    // if the lengths are equal, do element-wise division
    //
    else if (input_a.getVectorFloat().length() == output_a.getVectorFloat().length()) {
      
      return output_a.getVectorFloat().div(input_a.getVectorFloat());
      
    } 
    else {
      return Error::handle(name(), L"computeDivFloat", ERR_MATCH,
			   __FILE__, __LINE__);
    }
  }
  else {
    return Error::handle(name(), L"computeDivFloat", ERR_MATCH,
			 __FILE__, __LINE__);
  }
  
  // exit gracefully
  //
  return true;
}