diff armadillo-3.900.4/include/armadillo_bits/op_median_meat.hpp @ 49:1ec0e2823891

Switch to using subrepo copies of qm-dsp, nnls-chroma, vamp-plugin-sdk; update Armadillo version; assume build without external BLAS/LAPACK
author Chris Cannam
date Thu, 13 Jun 2013 10:25:24 +0100
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--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/armadillo-3.900.4/include/armadillo_bits/op_median_meat.hpp	Thu Jun 13 10:25:24 2013 +0100
@@ -0,0 +1,414 @@
+// Copyright (C) 2009-2013 NICTA (www.nicta.com.au)
+// Copyright (C) 2009-2013 Conrad Sanderson
+// Copyright (C) 2013 Ruslan Shestopalyuk
+// 
+// This Source Code Form is subject to the terms of the Mozilla Public
+// License, v. 2.0. If a copy of the MPL was not distributed with this
+// file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+
+//! \addtogroup op_median
+//! @{
+
+
+
+//! \brief
+//! For each row or for each column, find the median value.
+//! The result is stored in a dense matrix that has either one column or one row.
+//! The dimension, for which the medians are found, is set via the median() function.
+template<typename T1>
+inline
+void
+op_median::apply(Mat<typename T1::elem_type>& out, const Op<T1,op_median>& in)
+  {
+  arma_extra_debug_sigprint();
+  
+  typedef typename T1::elem_type eT;
+  
+  const uword dim = in.aux_uword_a;
+  arma_debug_check( (dim > 1), "median(): incorrect usage. dim must be 0 or 1");
+  
+  const Proxy<T1> P(in.m);
+  
+  typedef typename Proxy<T1>::stored_type P_stored_type;
+  
+  const bool is_alias = P.is_alias(out);
+  
+  if( (is_Mat<P_stored_type>::value == true) || is_alias )
+    {
+    const unwrap_check<P_stored_type> tmp(P.Q, is_alias);
+    
+    const typename unwrap_check<P_stored_type>::stored_type& X = tmp.M;
+    
+    const uword X_n_rows = X.n_rows;
+    const uword X_n_cols = X.n_cols;
+    
+    if(dim == 0)  // in each column
+      {
+      arma_extra_debug_print("op_median::apply(), dim = 0");
+      
+      arma_debug_check( (X_n_rows == 0), "median(): given object has zero rows" );
+      
+      out.set_size(1, X_n_cols);
+      
+      std::vector<eT> tmp_vec(X_n_rows);
+      
+      for(uword col=0; col < X_n_cols; ++col)
+        {
+        arrayops::copy( &(tmp_vec[0]), X.colptr(col), X_n_rows );
+        
+        out[col] = op_median::direct_median(tmp_vec);
+        }
+      }
+    else  // in each row
+      {
+      arma_extra_debug_print("op_median::apply(), dim = 1");
+      
+      arma_debug_check( (X_n_cols == 0), "median(): given object has zero columns" );
+      
+      out.set_size(X_n_rows, 1);
+      
+      std::vector<eT> tmp_vec(X_n_cols);
+        
+      for(uword row=0; row < X_n_rows; ++row)
+        {
+        for(uword col=0; col < X_n_cols; ++col)  { tmp_vec[col] = X.at(row,col); }
+        
+        out[row] = op_median::direct_median(tmp_vec);
+        }
+      }
+    }
+  else
+    {
+    const uword P_n_rows = P.get_n_rows();
+    const uword P_n_cols = P.get_n_cols();
+    
+    if(dim == 0)  // in each column
+      {
+      arma_extra_debug_print("op_median::apply(), dim = 0");
+      
+      arma_debug_check( (P_n_rows == 0), "median(): given object has zero rows" );
+      
+      out.set_size(1, P_n_cols);
+      
+      std::vector<eT> tmp_vec(P_n_rows);
+      
+      for(uword col=0; col < P_n_cols; ++col)
+        {
+        for(uword row=0; row < P_n_rows; ++row)  { tmp_vec[row] = P.at(row,col); }
+        
+        out[col] = op_median::direct_median(tmp_vec);
+        }
+      }
+    else  // in each row
+      {
+      arma_extra_debug_print("op_median::apply(), dim = 1");
+      
+      arma_debug_check( (P_n_cols == 0), "median(): given object has zero columns" );
+      
+      out.set_size(P_n_rows, 1);
+      
+      std::vector<eT> tmp_vec(P_n_cols);
+        
+      for(uword row=0; row < P_n_rows; ++row)
+        {
+        for(uword col=0; col < P_n_cols; ++col)  { tmp_vec[col] = P.at(row,col); }
+        
+        out[row] = op_median::direct_median(tmp_vec);
+        }
+      }
+    }
+  }
+
+
+
+//! Implementation for complex numbers
+template<typename T, typename T1>
+inline
+void
+op_median::apply(Mat< std::complex<T> >& out, const Op<T1,op_median>& in)
+  {
+  arma_extra_debug_sigprint();
+  
+  typedef typename std::complex<T> eT;
+  
+  arma_type_check(( is_same_type<eT, typename T1::elem_type>::value == false ));
+  
+  const unwrap_check<T1> tmp(in.m, out);
+  const Mat<eT>&     X = tmp.M;
+  
+  const uword X_n_rows = X.n_rows;
+  const uword X_n_cols = X.n_cols;
+  
+  const uword dim = in.aux_uword_a;
+  arma_debug_check( (dim > 1), "median(): incorrect usage. dim must be 0 or 1");
+  
+  if(dim == 0)  // in each column
+    {
+    arma_extra_debug_print("op_median::apply(), dim = 0");
+    
+    arma_debug_check( (X_n_rows == 0), "median(): given object has zero rows" );
+
+    out.set_size(1, X_n_cols);
+    
+    std::vector< arma_cx_median_packet<T> > tmp_vec(X_n_rows);
+    
+    for(uword col=0; col<X_n_cols; ++col)
+      {
+      const eT* colmem = X.colptr(col);
+      
+      for(uword row=0; row<X_n_rows; ++row)
+        {
+        tmp_vec[row].val   = std::abs(colmem[row]);
+        tmp_vec[row].index = row;
+        }
+      
+      uword index1;
+      uword index2;
+      op_median::direct_cx_median_index(index1, index2, tmp_vec);
+        
+      out[col] = op_mean::robust_mean(colmem[index1], colmem[index2]);
+      }
+    }
+  else
+  if(dim == 1)  // in each row
+    {
+    arma_extra_debug_print("op_median::apply(), dim = 1");
+    
+    arma_debug_check( (X_n_cols == 0), "median(): given object has zero columns" );
+    
+    out.set_size(X_n_rows, 1);
+    
+    std::vector< arma_cx_median_packet<T> > tmp_vec(X_n_cols);
+    
+    for(uword row=0; row<X_n_rows; ++row)
+      {
+      for(uword col=0; col<X_n_cols; ++col)
+        {
+        tmp_vec[col].val   = std::abs(X.at(row,col));
+        tmp_vec[col].index = col;
+        }
+      
+      uword index1;
+      uword index2;
+      op_median::direct_cx_median_index(index1, index2, tmp_vec);
+      
+      out[row] = op_mean::robust_mean( X.at(row,index1), X.at(row,index2) );
+      }
+    }
+  }
+
+
+
+template<typename T1>
+inline
+typename T1::elem_type
+op_median::median_vec
+  (
+  const T1& X,
+  const typename arma_not_cx<typename T1::elem_type>::result* junk
+  )
+  {
+  arma_extra_debug_sigprint();
+  arma_ignore(junk);
+  
+  typedef typename T1::elem_type eT;
+  
+  typedef typename Proxy<T1>::stored_type P_stored_type;
+    
+  const Proxy<T1> P(X);
+  
+  const uword n_elem = P.get_n_elem();
+  
+  arma_debug_check( (n_elem == 0), "median(): given object has no elements" );
+  
+  std::vector<eT> tmp_vec(n_elem);
+  
+  if(is_Mat<P_stored_type>::value == true)
+    {
+    const unwrap<P_stored_type> tmp(P.Q);
+    
+    const typename unwrap_check<P_stored_type>::stored_type& Y = tmp.M;
+    
+    arrayops::copy( &(tmp_vec[0]), Y.memptr(), n_elem );
+    }
+  else
+    {
+    if(Proxy<T1>::prefer_at_accessor == false)
+      {
+      typedef typename Proxy<T1>::ea_type ea_type;
+      
+      ea_type A = P.get_ea();
+      
+      for(uword i=0; i<n_elem; ++i)  { tmp_vec[i] = A[i]; }
+      }
+    else
+      {
+      const uword n_rows = P.get_n_rows();
+      const uword n_cols = P.get_n_cols();
+      
+      if(n_cols == 1)
+        {
+        for(uword row=0; row < n_rows; ++row)  { tmp_vec[row] = P.at(row,0); }
+        }
+      else
+      if(n_rows == 1)
+        {
+        for(uword col=0; col < n_cols; ++col)  { tmp_vec[col] = P.at(0,col); }
+        }
+      else
+        {
+        arma_stop("op_median::median_vec(): expected a vector" );
+        }
+      }
+    }
+  
+  return op_median::direct_median(tmp_vec);
+  }
+
+
+
+template<typename T1>
+inline
+typename T1::elem_type
+op_median::median_vec
+  (
+  const T1& X,
+  const typename arma_cx_only<typename T1::elem_type>::result* junk
+  )
+  {
+  arma_extra_debug_sigprint();
+  arma_ignore(junk);
+  
+  typedef typename T1::elem_type eT;
+  typedef typename T1::pod_type   T;
+  
+  const Proxy<T1> P(X);
+  
+  const uword n_elem = P.get_n_elem();
+  
+  arma_debug_check( (n_elem == 0), "median(): given object has no elements" );
+  
+  std::vector< arma_cx_median_packet<T> > tmp_vec(n_elem);
+  
+  if(Proxy<T1>::prefer_at_accessor == false)
+    {
+    typedef typename Proxy<T1>::ea_type ea_type;
+    
+    ea_type A = P.get_ea();
+    
+    for(uword i=0; i<n_elem; ++i)
+      {
+      tmp_vec[i].val   = std::abs( A[i] );
+      tmp_vec[i].index = i;
+      }
+    
+    uword index1;
+    uword index2;
+    op_median::direct_cx_median_index(index1, index2, tmp_vec);
+    
+    return op_mean::robust_mean( A[index1], A[index2] );
+    }
+  else
+    {
+    const uword n_rows = P.get_n_rows();
+    const uword n_cols = P.get_n_cols();
+    
+    if(n_cols == 1)
+      {
+      for(uword row=0; row < n_rows; ++row)
+        {
+        tmp_vec[row].val   = std::abs( P.at(row,0) );
+        tmp_vec[row].index = row;
+        }
+      
+      uword index1;
+      uword index2;
+      op_median::direct_cx_median_index(index1, index2, tmp_vec);
+      
+      return op_mean::robust_mean( P.at(index1,0), P.at(index2,0) );
+      }
+    else
+    if(n_rows == 1)
+      {
+      for(uword col=0; col < n_cols; ++col)
+        {
+        tmp_vec[col].val   = std::abs( P.at(0,col) );
+        tmp_vec[col].index = col;
+        }
+      
+      uword index1;
+      uword index2;
+      op_median::direct_cx_median_index(index1, index2, tmp_vec);
+      
+      return op_mean::robust_mean( P.at(0,index1), P.at(0,index2) );
+      }
+    else
+      {
+      arma_stop("op_median::median_vec(): expected a vector" );
+      
+      return eT(0);
+      }
+    }
+  }
+
+
+
+//! find the median value of a std::vector (contents is modified)
+template<typename eT>
+inline 
+eT
+op_median::direct_median(std::vector<eT>& X)
+  {
+  arma_extra_debug_sigprint();
+  
+  const uword n_elem = uword(X.size());
+  const uword half   = n_elem/2;
+  
+  std::nth_element(X.begin(), X.begin() + half, X.end());
+  
+  if((n_elem % 2) == 0)
+    {
+    return op_mean::robust_mean(*(std::max_element(X.begin(), X.begin() + half)), X[half]);
+    }
+  else
+    {
+    return X[half];
+    }
+  }
+
+
+
+template<typename T>
+inline 
+void
+op_median::direct_cx_median_index
+  (
+  uword& out_index1, 
+  uword& out_index2, 
+  std::vector< arma_cx_median_packet<T> >& X
+  )
+  {
+  arma_extra_debug_sigprint();
+  
+  const uword n_elem = uword(X.size());
+  const uword half   = n_elem/2;
+  
+  std::nth_element(X.begin(), X.begin() + half, X.end());
+  
+  if((n_elem % 2) == 0)
+    {
+    out_index1 = std::max_element(X.begin(), X.begin() + half)->index;
+    out_index2 = X[half].index;
+    }
+  else
+    {
+    out_index1 = X[half].index;
+    out_index2 = out_index1;
+    }
+  }
+
+
+
+//! @}
+