public void Lib_Sin()
{
float stepDelta = FPGATrigonometryConstants.TwoPI / Steps;
var posError = double.MinValue;
var negError = double.MaxValue;
var absError = 0d;
// able to achieve about this accuracy
var eps = 3.7e-6;
for (var step = 0; step < Steps; step++)
{
var rad = step * stepDelta;
// calculate sin
var taylorSin = FPGATrigonometry.Sin(rad);
var calculatedSin = Math.Sin(rad);
var sinDelta = taylorSin - calculatedSin;
absError = Math.Max(absError, Math.Abs(sinDelta));
posError = Math.Max(sinDelta, posError);
negError = Math.Min(sinDelta, negError);
Assert.IsTrue(sinDelta < eps, $"Failed for sin({rad})");
}
}
public void Sin()
{
using (var port = new QuokkaPort())
{
var rnd = new Random(Environment.TickCount);
foreach (var idx in Enumerable.Range(-5000, 10000))
{
var value = (float)(idx * rnd.NextDouble() * FPGATrigonometryConstants.TwoPI);
port.WriteFloat(value);
var expected = FPGATrigonometry.Sin(value);
var actualBytes = port.Read(4, true, port.DefaultTimeout);
var actual = TestConverters.FloatFromByteArray(actualBytes);
Assert.AreEqual(expected, actual, $"Failed for {value}");
}
}
}
public static async Task Aggregator(
FPGA.InputSignal <bool> RXD,
FPGA.OutputSignal <bool> TXD
)
{
Sequential handler = () =>
{
FPU.FPUScopeNoSync();
while (true)
{
float data = 0;
UART.ReadFloat(115200, RXD, out data);
data = FPGATrigonometry.Sin(data);
UART.WriteFloat(115200, data, TXD);
}
};
FPGA.Config.OnStartup(handler);
}
