Discrete-time, second-order section, direct-form I transposed filter
Hd = dfilt.df1tsos(s)
Hd = dfilt.df1tsos(b1,a1,b2,a2,...)
Hd = dfilt.df1tsos(...,g)
Hd = dfilt.df1tsos
Hd = dfilt.df1tsos(s)
returns
a discrete-time, second-order section, direct-form I, transposed filter, Hd
,
with coefficients given in the s
matrix. The filter
states for this object are stored in a filtstates
object.
Hd = dfilt.df1tsos(b1,a1,b2,a2,...)
returns
a discrete-time, second-order section, direct-form I, tranposed filter, Hd
,
with coefficients for the first section given in the b1
and a1
vectors,
for the second section given in the b2
and a2
vectors,
etc.
Hd = dfilt.df1tsos(...,g)
includes a gain vector g
. The elements of g
are
the gains for each section. The maximum length of g
is
the number of sections plus one. If g
is not specified,
all gains default to one.
Hd = dfilt.df1tsos
returns
a default, discrete-time, second-order section, direct-form I, transposed
filter, Hd
. This filter passes the input through
to the output unchanged.
Note
The leading coefficient of the denominator |
To display the filter states, use this code to access the filtstates
object.
Hs = Hd.states % Where Hd is the dfilt.df1 object and double (Hs) % Hs is the filtstates object
The matrix is
$$\left(\begin{array}{cc}zb1(1)& zb2(1)\\ zb1(2)& zb2(2)\\ za1(1)& za2(1)\\ za1(2)& za2(2)\end{array}\right)$$
Specify a second-order sections, direct-form I, transposed discrete-time filter with coefficients from a sixth order, lowpass, elliptical filter using the following code:
[z,p,k] = ellip(6,1,60,.4); % Obtain filter coefficients [s,g] = zp2sos(z,p,k); % Convert to SOS Hd = dfilt.df1tsos(s,g)