Filters the input signal by this analysis filter, decomposing it in a low-pass and a high-pass signal. This method performs the filtering and the subsampling with the low pass first filtering convention.

       <p>The input signal resides in the inSig array. The index of the first
       sample to filter (i.e. that will generate the first low-pass output
       sample) is given by inOff. The number of samples to filter is given by
       inLen. This array must be of the same type as the one for which the
       particular implementation works with (which is returned by the
       getDataType() method).</p><p>The input signal can be interleaved with other signals in the same
       inSig array, and this is determined by the inStep argument. This means
       that the first sample of the input signal is inSig[inOff], the second
       is inSig[inOff+inStep], the third is inSig[inOff+2*inStep], and so
       on. Therefore if inStep is 1 there is no interleaving. This feature
       allows to filter columns of a 2-D signal, when it is stored in a line
       by line order in inSig, without having to copy the data, in this case
       the inStep argument should be the line width.</p><p>This method also allows to apply the analysis wavelet filter by
       parts in the input signal using an overlap and thus producing the same
       coefficients at the output. The tailOvrlp argument specifies how many
       samples in the input signal, before the first one to be filtered, can
       be used for overlap. Then, the filter instead of extending the input
       signal will use those samples to calculate the first output
       samples. The argument tailOvrlp can be 0 for no overlap, or some value
       that provides partial or full overlap. There should be enough samples
       in the input signal, before the first sample to be filtered, to support
       the overlap. The headOvrlp provides the same functionality but at the
       end of the input signal. The inStep argument also applies to samples
       used for overlap. This overlap feature can be used for line-based
       wavelet transforms (in which case it will only be used when filtering
       the columns) or for overlapping block-based wavelet transforms (in
       which case it will be used when filtering lines and columns).</p><p>The low-pass output signal is placed in the lowSig array. The lowOff
       and lowStep arguments are analogous to the inOff and inStep ones, but
       they apply to the lowSig array. The lowSig array must be long enough to
       hold the low-pass output signal.</p><p>The high-pass output signal is placed in the highSig array. The
       highOff and highStep arguments are analogous to the inOff and inStep
       ones, but they apply to the highSig array. The highSig array must be
       long enough to hold the high-pass output signal.</p>