System object: comm.MLSEEqualizer
Equalize using maximum likelihood sequence estimation
Y = step(H,X)
Y = step(H,X,CHANNEL)
Y = step(H,X,RESET)
Starting in R2016b, instead of using the
step method to perform the operation defined by the System object™, you can call the object with arguments, as if it were a function. For example,
y = step(obj,x) and
y = obj(x) perform equivalent operations.
Y = step(H,X) equalizes the linearly modulated
X, using the Viterbi algorithm. The
step method outputs
Y, the maximum likelihood sequence
estimate of the signal. Input
X must be a column
vector of data type double or single.
Y = step(H,X,CHANNEL) uses
CHANNEL as the channel
coefficients when you set the
to 'Input port'. The channel coefficients input,
CHANNEL, must be a
numeric, column vector containing the coefficients of an FIR filter in descending order
of powers of z. The length of this vector is the channel memory, which must be an
integer multiple of the samples per input symbol specified in the
Y = step(H,X,RESET) uses
RESET as the reset signal
when you set the
TerminationMethod property to
'Continuous' and the
ResetInputPort property to true.
The object resets when
RESET has a non-zero value.
RESET must be a double precision or logical scalar. You can
combine optional input arguments when you set their enabling properties. Optional inputs
must be listed in the same order as the order of the enabling properties. For example,
Y = step(H,X,CHANNEL,RESET).
obj specifies the System object on which to run this
The object performs an initialization the first time the
step method is executed. This initialization locks nontunable properties and
input specifications. For more information on changing property values, see System Design in MATLAB Using System Objects.