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| Direct-Form II Transpose Filter | See Also |
Apply an IIR filter to the input.
Library
Filter Realizations, in FilteringDescription
The Direct-Form II Transpose Filter block applies a transposed direct-form II IIR filter to the input.
This is a canonical form that has the minimum number of delay elements. The filter order is max(m,n)-1.
[b(1) b(2) ... b(m)]and the Denominator parameter specifies the vector of denominator coefficients,
[a(1) a(2) ... a(n)]Note that the filter coefficients are normalized by a1.
Initial Conditions
In its default form, the filter initializes the internal filter states to zero, which is equivalent to assuming past inputs and outputs are zero. The block also accepts optional nonzero initial conditions for the filter delays. Note that the number of filter states (delay elements) per input channel ismax(m,n)-1The Initial conditions parameter may take one of four forms:
The empty matrix, [], causes a zero (0) initial condition to be applied to all delay elements in each filter channel.
The scalar value is copied to all delay elements in each filter channel. Note that a value of zero is equivalent to setting the Initial conditions parameter to the empty matrix, [].
The vector has a length equal to the number of delay elements in each filter channel, max(m,n)-1, and specifies a unique initial condition for each delay element in the filter channel. This vector of initial conditions is applied to each filter channel.
The matrix specifies a unique initial condition for each delay element, and can specify different initial conditions for each filter channel. The matrix must have the same number of rows as the number of delay elements in the filter, max(m,n)-1, and must have one column per filter channel.
Sample-Based Operation
When the check box is not selected (default), the block assumes that the input is a 1-by-N sample vector or M-by-N sample matrix. Each of the N vector elements (or M*N matrix elements) is treated as an independent channel, and the block filters each channel over time.Frame-Based Operation
When the Frame-based inputs check box is selected, the block assumes that the input is an M-by-N frame matrix. Each of the N frames in the matrix contains M sequential time samples from an independent signal. The illustration below shows a 6-by-4 matrix input:
The Number of channels parameter specifies the number of independent channels (columns), N, in the matrix, and the block filters each channel independently over time. Frame-based operation provides substantial increases in throughput rates, at the expense of greater model latency.
NoteDialog Box

References
Oppenheim, A. V. and R. W. Schafer. Discrete-Time Signal Processing. Englewood Cliffs, NJ: Prentice Hall, 1989. Proakis, J. and D. Manolakis. Digital Signal Processing. 3rd ed. Englewood Cliffs, NJ: Prentice-Hall, 1996.See Also
Biquadratic Filterfilter (MATLAB)