org.apache.commons.math3.transform
Class FastHadamardTransformer

java.lang.Object
  extended by org.apache.commons.math3.transform.FastHadamardTransformer
All Implemented Interfaces:
Serializable, RealTransformer

public class FastHadamardTransformer
extends Object
implements RealTransformer, Serializable

Implements the Fast Hadamard Transform (FHT). Transformation of an input vector x to the output vector y.

In addition to transformation of real vectors, the Hadamard transform can transform integer vectors into integer vectors. However, this integer transform cannot be inverted directly. Due to a scaling factor it may lead to rational results. As an example, the inverse transform of integer vector (0, 1, 0, 1) is rational vector (1/2, -1/2, 0, 0).

Since:
2.0
Version:
$Id: FastHadamardTransformer.java 1385310 2012-09-16 16:32:10Z tn $
See Also:
Serialized Form

Constructor Summary
FastHadamardTransformer()
           
 
Method Summary
protected  double[] fht(double[] x)
          The FHT (Fast Hadamard Transformation) which uses only subtraction and addition.
protected  int[] fht(int[] x)
          Returns the forward transform of the specified integer data set.
 double[] transform(double[] f, TransformType type)
          Returns the (forward, inverse) transform of the specified real data set.
 int[] transform(int[] f)
          Returns the forward transform of the specified integer data set.The integer transform cannot be inverted directly, due to a scaling factor which may lead to double results.
 double[] transform(UnivariateFunction f, double min, double max, int n, TransformType type)
          Returns the (forward, inverse) transform of the specified real function, sampled on the specified interval.
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Constructor Detail

FastHadamardTransformer

public FastHadamardTransformer()
Method Detail

transform

public double[] transform(double[] f,
                          TransformType type)
Returns the (forward, inverse) transform of the specified real data set.

Specified by:
transform in interface RealTransformer
Parameters:
f - the real data array to be transformed (signal)
type - the type of transform (forward, inverse) to be performed
Returns:
the real transformed array (spectrum)
Throws:
MathIllegalArgumentException - if the length of the data array is not a power of two

transform

public double[] transform(UnivariateFunction f,
                          double min,
                          double max,
                          int n,
                          TransformType type)
Returns the (forward, inverse) transform of the specified real function, sampled on the specified interval.

Specified by:
transform in interface RealTransformer
Parameters:
f - the function to be sampled and transformed
min - the (inclusive) lower bound for the interval
max - the (exclusive) upper bound for the interval
n - the number of sample points
type - the type of transform (forward, inverse) to be performed
Returns:
the real transformed array
Throws:
NonMonotonicSequenceException - if the lower bound is greater than, or equal to the upper bound
NotStrictlyPositiveException - if the number of sample points is negative
MathIllegalArgumentException - if the number of sample points is not a power of two

transform

public int[] transform(int[] f)
Returns the forward transform of the specified integer data set.The integer transform cannot be inverted directly, due to a scaling factor which may lead to double results.

Parameters:
f - the integer data array to be transformed (signal)
Returns:
the integer transformed array (spectrum)
Throws:
MathIllegalArgumentException - if the length of the data array is not a power of two

fht

protected double[] fht(double[] x)
                throws MathIllegalArgumentException
The FHT (Fast Hadamard Transformation) which uses only subtraction and addition. Requires N * log2(N) = n * 2^n additions.

Short Table of manual calculation for N=8

  1. x is the input vector to be transformed,
  2. y is the output vector (Fast Hadamard transform of x),
  3. a and b are helper rows.
x a b y
x0 a0 = x0 + x1 b0 = a0 + a1 y0 = b0+ b1
x1 a1 = x2 + x3 b0 = a2 + a3 y0 = b2 + b3
x2 a2 = x4 + x5 b0 = a4 + a5 y0 = b4 + b5
x3 a3 = x6 + x7 b0 = a6 + a7 y0 = b6 + b7
x4 a0 = x0 - x1 b0 = a0 - a1 y0 = b0 - b1
x5 a1 = x2 - x3 b0 = a2 - a3 y0 = b2 - b3
x6 a2 = x4 - x5 b0 = a4 - a5 y0 = b4 - b5
x7 a3 = x6 - x7 b0 = a6 - a7 y0 = b6 - b7

How it works

  1. Construct a matrix with N rows and n + 1 columns, hadm[n+1][N].
    (If I use [x][y] it always means [row-offset][column-offset] of a Matrix with n rows and m columns. Its entries go from M[0][0] to M[n][N])
  2. Place the input vector x[N] in the first column of the matrix hadm.
  3. The entries of the submatrix D_top are calculated as follows
    • D_top goes from entry [0][1] to [N / 2 - 1][n + 1],
    • the columns of D_top are the pairwise mutually exclusive sums of the previous column.
  4. The entries of the submatrix D_bottom are calculated as follows
    • D_bottom goes from entry [N / 2][1] to [N][n + 1],
    • the columns of D_bottom are the pairwise differences of the previous column.
  5. The consputation of D_top and D_bottom are best understood with the above example (for N = 8).
  6. The output vector y is now in the last column of hadm.
  7. Algorithm from chipcenter.

Visually

0123 n + 1
0 x0
← Dtop
1x1
2x2
N / 2 - 1xN/2-1
N / 2 xN/2
← Dbottom
N / 2 + 1xN/2+1
N / 2 + 2xN/2+2
NxN

Parameters:
x - the real data array to be transformed
Returns:
the real transformed array, y
Throws:
MathIllegalArgumentException - if the length of the data array is not a power of two

fht

protected int[] fht(int[] x)
             throws MathIllegalArgumentException
Returns the forward transform of the specified integer data set. The FHT (Fast Hadamard Transform) uses only subtraction and addition.

Parameters:
x - the integer data array to be transformed
Returns:
the integer transformed array, y
Throws:
MathIllegalArgumentException - if the length of the data array is not a power of two


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