Methods and appratus for characterizing media
View Patent ↗Methods and apparatus for characterizing media are described. In one example, a method of characterizing media includes capturing a block of audio; converting at least a portion of the block of audio into a frequency domain representation including a plurality of complex-valued frequency components; defining a band of complex-valued frequency components for consideration; determining a decision metric using the band of complex-valued frequency components; and determining a signature bit based on a value of the decision metric. Other examples are shown and described.
1. An apparatus to characterize media comprising:
a sample generator to capture a block of audio;
a transformer to convert at least a portion of the block of audio into a frequency domain representation including a plurality of complex-valued frequency components;
a decision metric computer to:
define a band of complex-valued frequency components for consideration;
determine a decision metric using the band of complex-valued frequency components by convolving a group of the complex-valued frequency components in the band with a pair of complex vectors, each of the pair of complex vectors and the group of the complex-valued frequency components having an odd number of elements greater than one; and
a signature determiner to determine a signature bit based on a value of the decision metric, wherein at least one of the decision metric computer or the signature determiner is implemented using a processor.
2. An apparatus as defined in claim 1 , wherein the group of complex-valued frequency components in the band has three of the complex-valued frequency components and the pair of complex vectors is a pair of three element complex vectors.
3. An apparatus as defined in claim 2 , wherein determining the decision metric comprises a sum of convolutions.
4. An apparatus as defined in claim 2 , wherein a sum of squares of a first three element vector is equal to a sum of squares of a second three element vector.
5. An apparatus as defined in claim 2 , wherein the pair of three element complex vectors is selected from a set of three or more three element complex vectors.
6. An apparatus as defined in claim 2 , wherein the pair of three element complex vectors is selected based on a band being processed.
7. An apparatus as defined in claim 1 , wherein the convolution of complex-valued frequency components with complex vectors represents energy distribution symmetry in the band.
8. An apparatus to characterize media comprising:
a sample generator to capture a block of audio;
a transformer to convert at least a portion of the block of audio into a frequency domain representation including a plurality of complex-valued frequency components;
a decision metric computer comprising a processor to:
define a band of complex-valued frequency components for consideration;
determine a decision metric using the band of complex-valued frequency components by convolving the complex-valued frequency components in the band with complex vectors, wherein the decision metric is based on differences of results of convolutions between the complex-valued frequency components with a first complex vector and results of convolutions between the complex-valued frequency components with a second complex vector; and
a signature determiner to determine a signature bit based on a value of the decision metric.
9. An apparatus as defined in claim 8 , wherein the decision metric is based on a sum of differences of results of convolutions between the complex-valued frequency components with a first complex vector and results of convolutions between the complex-valued frequency components with a second complex vector.
10. A method of characterizing media comprising:
capturing a block of audio;
converting at least a portion of the block of audio into a frequency domain representation including a plurality of frequency domain coefficients;
defining a band of frequency domain coefficients for consideration;
determining, using a processor, a decision metric by calculating a convolution of a group of the frequency domain coefficients in the band with a pair of complex vectors, the group of the frequency domain coefficients and each of the complex vectors having an odd number of elements greater than one; and
determining a signature bit based on a value of the decision metric.
11. A method as defined in claim 10 , wherein the group of frequency domain coefficients in the band has three of the frequency domain coefficients and the pair of complex vectors is a pair of three element complex vectors.