Docs: Update JavaDocs for Visualizer.OnDataCaptureListener

        /**

         * Method called when a new waveform capture is available.

         * <p>Data in the waveform buffer is valid only within the scope of the callback.

         * Applications which needs access to the waveform data after returning from the callback

         * Applications which need access to the waveform data after returning from the callback

         * should make a copy of the data instead of holding a reference.

         * @param visualizer Visualizer object on which the listener is registered.

         * @param waveform array of bytes containing the waveform representation.

         * @param samplingRate sampling rate of the audio visualized.

         * @param samplingRate sampling rate of the visualized audio.

         */

        void onWaveFormDataCapture(Visualizer visualizer, byte[] waveform, int samplingRate);

        /**

         * Method called when a new frequency capture is available.

         * <p>Data in the fft buffer is valid only within the scope of the callback.

         * Applications which needs access to the fft data after returning from the callback

         * Applications which need access to the fft data after returning from the callback

         * should make a copy of the data instead of holding a reference.

         *

         * <p>In order to obtain magnitude and phase values the following formulas can

         * be used:

         *    <pre class="prettyprint">

         *       for (int i = 0; i < fft.size(); i += 2) {

         *           float magnitude = (float)Math.hypot(fft[i], fft[i + 1]);

         *           float phase = (float)Math.atan2(fft[i + 1], fft[i]);

         *       }</pre>

         * @param visualizer Visualizer object on which the listener is registered.

         * @param fft array of bytes containing the frequency representation.

         * @param samplingRate sampling rate of the audio visualized.

         *    The fft array only contains the first half of the actual

         *    FFT spectrum (frequencies up to Nyquist frequency), exploiting

         *    the symmetry of the spectrum. For each frequencies bin <code>i</code>:

         *    <ul>

         *      <li>the element at index <code>2*i</code> in the array contains

         *          the real part of a complex number,</li>

         *      <li>the element at index <code>2*i+1</code> contains the imaginary

         *          part of the complex number.</li>

         *    </ul>

         * @param samplingRate sampling rate of the visualized audio.

         */

        void onFftDataCapture(Visualizer visualizer, byte[] fft, int samplingRate);

    }