Log minimums

`y = minlog(a)`

y = minlog(q)

`y = minlog(a)`

returns the smallest real-world
value of `fi`

object `a`

since logging
was turned on or since the last time the log was reset for the object.

Turn on logging by setting the `fipref`

object `LoggingMode`

property
to `on`

. Reset logging for a `fi`

object
using the `resetlog`

function.

`y = minlog(q)`

is the minimum value after
quantization during a call to `quantize(q,...)`

for `quantizer`

object `q`

.
This value is the minimum value encountered over successive calls
to `quantize`

since logging was turned on, and is
reset with `resetlog(q)`

. `minlog(q)`

is
equivalent to `get(q,'minlog')`

and `q.minlog`

.

P = fipref('LoggingMode','on'); a = fi([-1.5 eps 0.5], true, 16, 15); a(1) = 3.0; minlog(a) ans = -1

The smallest value `minlog`

can return is the
minimum representable value of its input. In this example, `a`

is
a signed `fi`

object with word length `16`

,
fraction length `15`

and range:

-1 ≤ *x* ≤
1 – 2^{-15}

You can obtain
the numerical range of any `fi`

object `a`

using
the `range`

function:

format long g r = range(a) r = -1 0.999969482421875

```
q = quantizer;
warning on
x = [-20:10];
y = quantize(q,x);
minlog(q)
Warning: 29 overflows.
> In embedded.quantizer.quantize at 74
ans =
-1
```

The smallest value `minlog`

can return is the
minimum representable value of its input. You can obtain the range
of `x`

after quantization using the `range`

function:

format long g r = range(q) r = -1 0.999969482421875

`fipref`

| `maxlog`

| `noverflows`

| `nunderflows`

| `reset`

| `resetlog`

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