This calculator helps you estimate the fidelity rate, a crucial metric in various fields, particularly in signal processing, data transmission, and communication systems. The fidelity rate quantifies how accurately a transmitted signal or data is received at the destination compared to the original signal. A higher fidelity rate indicates less distortion or loss of information.
.calculator-container {
font-family: Arial, sans-serif;
border: 1px solid #ccc;
padding: 20px;
border-radius: 8px;
max-width: 500px;
margin: 20px auto;
background-color: #f9f9f9;
}
.calculator-container h2 {
text-align: center;
color: #333;
margin-bottom: 20px;
}
.input-section {
margin-bottom: 20px;
}
.form-group {
margin-bottom: 15px;
display: flex;
justify-content: space-between;
align-items: center;
}
.form-group label {
flex: 1;
margin-right: 10px;
font-weight: bold;
color: #555;
}
.form-group input[type="number"] {
flex: 1;
padding: 8px;
border: 1px solid #ccc;
border-radius: 4px;
box-sizing: border-box;
}
button {
width: 100%;
padding: 10px 15px;
background-color: #4CAF50;
color: white;
border: none;
border-radius: 4px;
cursor: pointer;
font-size: 16px;
transition: background-color 0.3s ease;
}
button:hover {
background-color: #45a049;
}
.result-section {
margin-top: 20px;
padding: 15px;
background-color: #e0ffe0;
border: 1px solid #a0d9a0;
border-radius: 4px;
text-align: center;
font-size: 18px;
color: #333;
min-height: 50px; /* Ensure it has some height even when empty */
display: flex;
align-items: center;
justify-content: center;
}
function calculateFidelityRate() {
var originalSignalPower = parseFloat(document.getElementById("originalSignalPower").value);
var receivedSignalPower = parseFloat(document.getElementById("receivedSignalPower").value);
var noisePower = parseFloat(document.getElementById("noisePower").value);
var resultElement = document.getElementById("result");
resultElement.innerHTML = ""; // Clear previous results
if (isNaN(originalSignalPower) || isNaN(receivedSignalPower) || isNaN(noisePower)) {
resultElement.innerHTML = "Please enter valid numbers for all fields.";
resultElement.style.backgroundColor = "#ffe0e0";
resultElement.style.borderColor = "#d9a0a0";
return;
}
if (originalSignalPower <= 0) {
resultElement.innerHTML = "Original Signal Power must be greater than zero.";
resultElement.style.backgroundColor = "#ffe0e0";
resultElement.style.borderColor = "#d9a0a0";
return;
}
if (noisePower < 0) {
resultElement.innerHTML = "Noise Power cannot be negative.";
resultElement.style.backgroundColor = "#ffe0e0";
resultElement.style.borderColor = "#d9a0a0";
return;
}
if (receivedSignalPower 0) {
fidelityRate = receivedSignalPower / totalPowerAtReceiver;
} else {
// This case should ideally not happen with valid inputs but included for robustness
resultElement.innerHTML = "Error: Total power at receiver is zero or negative.";
resultElement.style.backgroundColor = "#ffe0e0";
resultElement.style.borderColor = "#d9a0a0";
return;
}
// Additional check: ensure received signal power isn't greater than original if no amplification assumed
// This is more about physical plausibility, not strictly part of the fidelity rate calculation itself
// but can indicate an input issue.
if (receivedSignalPower > originalSignalPower && noisePower >= 0) {
// This might happen due to amplification, but if not explicitly modeled, it's an anomaly.
// We'll proceed with calculation but could add a note if this calculator were more complex.
}
resultElement.innerHTML = "Fidelity Rate: " + fidelityRate.toFixed(4);
resultElement.style.backgroundColor = "#e0ffe0";
resultElement.style.borderColor = "#a0d9a0";
}