List of samples() Examples

Examples of samples()

edu.purdue.wind.Wave.samples()
Returns the number of total samples in the associated WAV file. This is the number of multi-channel samples, so there are this many samples in each channel. @return number of samples
org.jquantlib.math.statistics.GenericSequenceStatistics.samples()

Examples of edu.purdue.wind.Wave.samples()

      System.exit(1);
  }


  int nSamples = 0;
  for (int i = 0; i < 32; i++) {
      if ((1 << i) > wave.samples()) {
    break;
      }
      nSamples = 1 << i;
  }

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Examples of edu.purdue.wind.Wave.samples()

  }


  System.out.println("Bits per sample:   " + wave.sampleBits());
  System.out.println("Sample rate (Hz):  " + wave.sampleRate());
  System.out.println("Channels:          " + wave.channels());
  System.out.println("Number of samples: " + wave.samples());
    }
}

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Examples of edu.purdue.wind.Wave.samples()

  } catch (IOException e) {
      throw new RuntimeException(e);
  }


  final int[] samples = wave.sampleData((short)0);
  final int nSamples = wave.samples();


  for (int i = 0; i < nSamples; i++) {
      System.out.println("" + i + " " + samples[i]);
  }
    }

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Examples of edu.purdue.wind.Wave.samples()


  // Find the highest power of two smaller than wave.samples(),
  // the stupid way.  Assumes that there *are* samples.
  int bits = 0;
  for (bits = 0; bits < 32; bits++) {
      if (1 << (bits + 1) > wave.samples()) {
    break;
      }
  }


  int nSamples = 1 << bits;

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Examples of org.jquantlib.math.statistics.GenericSequenceStatistics.samples()

        }


        Array calculated;
        /*@Real*/ double expected, tolerance;


        if (ss.samples() != data.size())
            fail("SequenceStatistics<" + name + ">: "
                       + "wrong number of samples\n"
                       + "    calculated: " + ss.samples() + "\n"
                       + "    expected:   " + data.size());

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Examples of org.jquantlib.math.statistics.GenericSequenceStatistics.samples()

        /*@Real*/ double expected, tolerance;


        if (ss.samples() != data.size())
            fail("SequenceStatistics<" + name + ">: "
                       + "wrong number of samples\n"
                       + "    calculated: " + ss.samples() + "\n"
                       + "    expected:   " + data.size());


        expected = weights.accumulate(0.0);
        if (ss.weightSum() != expected)
            fail("SequenceStatistics<" + name + ">: "

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