LESSON 36 OF 52 · CHAPTER 04
Root Mean Square
Stable rms on signals and visible vector windows
12-root-mean-square.srp
// RMS measures signal magnitude per sample without changing its inputs.
bind balanced = [2.0, -2.0, 2.0, -2.0];
print("balanced", rms(balanced));
// The values at either edge are excluded from the selected window.
bind samples = [99.0, 3.0, 4.0, 0.0, 0.0, 99.0];
bind selected = window(samples, 1, 4);
print("window", rms(selected));
// Scaling avoids directly squaring a huge finite value.
print("finite", rms([1e308, -1e308]) == 1e308);
print("zero", rms([0.0, -0.0]));
stdout
balanced 2.0
window 2.5
finite true
zero 0.0
Write what you expect this program to print. Check prediction for a line-level hint without revealing the answer, or reveal the verified output when ready. This checks displayed text only; it does not run Scarp or save your input.
UNDERSTAND THE CODE
Explanation & practice
What this example teaches
Stable rms on signals and visible vector windows
Expected behavior
balanced 2.0, window 2.5, finite true, zero 0.0
Practice: Read the source before looking at the output. Predict the values and their order, then use the pinned compiler to execute this lesson and compare the exact fixture. Identify which operation produces the result.
मूल-माध्य-वर्ग (RMS)
rms(values) संख्यात्मक वेक्टर के वर्गों का औसत लेकर उसका वर्गमूल निकालता है। [2.0, -2.0, 2.0, -2.0] का RMS 2.0 है। window से [3.0, 4.0, 0.0, 0.0] चुनने पर RMS 2.5 आता है। बहुत बड़े सीमित फ्लोट मानों पर गणना स्थिर रखी जाती है; खाली वेक्टर पर रनटाइम त्रुटि आती है। इस पाठ के लिए Scarp v0.0.6-alpha.1 चाहिए।
आउटपुट: balanced 2.0, window 2.5, finite true और zero 0.0।
अभ्यास: चार मानों के वर्ग जोड़कर चार से भाग दें, फिर वर्गमूल निकालें। यह norm से कैसे अलग है?
Explanations are sourced from the project's English chapter guide and हिन्दी अध्याय. The Scarp program and output are unchanged.
LEARNING PROGRESS
Keep your place
Mark this lesson complete when you are ready.
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TRY IT LOCALLY
Verify, then execute
Use the pinned compiler from the course root. Keep any imported _support files next to the source.
scarp verify examples/04-collections/12-root-mean-square.srp
scarp exec examples/04-collections/12-root-mean-square.srpThe website does not run code. Read the CLI guide ↗
CHAPTER 04 · LAST LESSON
Ready for your next step? · आगे क्या सीखें?
This is the final example in this chapter. Try its verified coding lab before moving on. Your lesson progress changes only when you mark a lesson complete.
Pinned compiler: Scarp v0.0.6-alpha.3
· ceff07d9014f. No simulated output.