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[CODE=csharp]

exists = true;
dbChannel = null;

int tuningOverallThreshold = 35;

int level = RemoteControl.Instance.SignalLevel(_cardNumber);
progressBarLevel.Value = Math.Abs(level);

// Normalise
if (level < 0) level = 0;
if (level > 100) level = 100;

// Filter weaker channels...
if (!( Math.Abs(RemoteControl.Instance.SignalLevel(_cardNumber)) > tuningOverallThreshold && RemoteControl.Instance.SignalQuality(_cardNumber) > tuningOverallThreshold)) {
continue;
}

// Darwinian channel natural selection...
if (RemoteControl.Instance.SignalLevel(_cardNumber) > 0)
if (Math.Abs(RemoteControl.Instance.SignalLevel(_cardNumber)) >= tuningOverallThreshold && Math.Abs(RemoteControl.Instance.SignalQuality(_cardNumber)) >= tuningOverallThreshold)
{
// add new strong channel
dbChannel = layer.AddNewChannel(channel.Name, channel.LogicalChannelNumber);
}
else
{
dbChannel = currentDetail.ReferencedChannel();
}
}

[/CODE]

A crude approximation without per-channel and overall level storage. Which wont work anyways logically coz you need a start point that then acts as a limiter in any comparitor... ???

You'd have to constantly reset and revise all stored levels, adjusting as the next highest level enters the system.

I've also introduced weak-channel ignore too, since under testing here a weak channel crept in under the radar.... don't worry - we'll show some mercy.

???

<blockquote data-quote="vapourEyes" data-source="post: 1270328" data-attributes="member: 143065">[CODE=csharp]&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; exists = true;&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; dbChannel = null;&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; int tuningOverallThreshold = 35;&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; int level = RemoteControl.Instance.SignalLevel(_cardNumber);&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; progressBarLevel.Value = Math.Abs(level);&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; // Normalise&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; if (level &lt; 0) level = 0;&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; if (level &gt; 100) level = 100;&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; // Filter weaker channels...&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; if (!( Math.Abs(RemoteControl.Instance.SignalLevel(_cardNumber)) &gt; tuningOverallThreshold &amp;&amp; RemoteControl.Instance.SignalQuality(_cardNumber) &gt; tuningOverallThreshold)) {&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; continue;&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; }&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; // Darwinian channel natural selection...&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; if (RemoteControl.Instance.SignalLevel(_cardNumber) &gt; 0)&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; if (Math.Abs(RemoteControl.Instance.SignalLevel(_cardNumber)) &gt;= tuningOverallThreshold &amp;&amp; Math.Abs(RemoteControl.Instance.SignalQuality(_cardNumber)) &gt;= tuningOverallThreshold)&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; {&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; // add new strong channel&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; dbChannel = layer.AddNewChannel(channel.Name, channel.LogicalChannelNumber);&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; }&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; else&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; {&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; dbChannel = currentDetail.ReferencedChannel();&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; }&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; }[/CODE]A crude approximation without per-channel and overall level storage. Which wont work anyways logically coz you need a start point that then acts as a limiter in any comparitor... ???You'd have to constantly reset and revise all stored levels, adjusting as the next highest level enters the system.I've also introduced weak-channel ignore too, since under testing here a weak channel crept in under the radar.... don't worry - we'll show some mercy.???</blockquote>

[QUOTE="vapourEyes, post: 1270328, member: 143065"] [CODE=csharp] exists = true; dbChannel = null; int tuningOverallThreshold = 35; int level = RemoteControl.Instance.SignalLevel(_cardNumber); progressBarLevel.Value = Math.Abs(level); // Normalise if (level < 0) level = 0; if (level > 100) level = 100; // Filter weaker channels... if (!( Math.Abs(RemoteControl.Instance.SignalLevel(_cardNumber)) > tuningOverallThreshold && RemoteControl.Instance.SignalQuality(_cardNumber) > tuningOverallThreshold)) { continue; } // Darwinian channel natural selection... if (RemoteControl.Instance.SignalLevel(_cardNumber) > 0) if (Math.Abs(RemoteControl.Instance.SignalLevel(_cardNumber)) >= tuningOverallThreshold && Math.Abs(RemoteControl.Instance.SignalQuality(_cardNumber)) >= tuningOverallThreshold) { // add new strong channel dbChannel = layer.AddNewChannel(channel.Name, channel.LogicalChannelNumber); } else { dbChannel = currentDetail.ReferencedChannel(); } } [/CODE] A crude approximation without per-channel and overall level storage. Which wont work anyways logically coz you need a start point that then acts as a limiter in any comparitor... ??? You'd have to constantly reset and revise all stored levels, adjusting as the next highest level enters the system. I've also introduced weak-channel ignore too, since under testing here a weak channel crept in under the radar.... don't worry - we'll show some mercy. ??? [/QUOTE]