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MMSE equalization

- example
`[out,csi] = lteEqualizeMMSE(rxgrid,channelest,noiseest)`

`[`

returns
equalized data in multidimensional array, `out`

,`csi`

]
= lteEqualizeMMSE(`rxgrid`

,`channelest`

,`noiseest`

)`out`

.
MMSE equalization is applied to the received data resource grid in
the matrix, `rxgrid`

, using the channel information
in the `channelest`

matrix. `noiseest`

is
an estimate of the received noise power spectral density.

Alternatively, the input `channelest`

can
be provided as a 3-D array of size *NRE*-by-`NRxAnts`

-by-*P*,
and the input `rxgrid`

can be provided as a matrix
of size *NRE*-by-`NRxAnts`

. In this
case, the first two dimensions have been reduced to one dimension
by appropriate indexing through the frequency and time locations of
the resource elements of interest, typically for a single physical
channel. The outputs, `out`

and `csi`

,
are of size (*N*×*M*)-by-*P*.

`lteDLChannelEstimate`

| `lteEqualizeMIMO`

| `lteEqualizeULMIMO`

| `lteEqualizeZF`

| `lteOFDMDemodulate`

| `lteSCFDMADemodulate`

| `lteULChannelEstimate`

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