model analysis user risk: low
MDCT Implementation for Sequence [1,2,3,4]
Implement the Modified Discrete Cosine Transform (MDCT) for the input sequence x(n) = [1, 2, 3, 4]. Follow steps to identify N and 2N, apply the MDCT formula with clear cosine valu…
PROMPT
Implement MDCT for the input sequence: x(n) = [1, 2, 3, 4] Steps: 1. Identify N and 2N 2. Apply MDCT formula 3. Show cosine values clearly 4. Display step-by-step calculation table 5. Give final coefficients
REQUIRED CONTEXT
- input sequence
ROLES & RULES
- Identify N and 2N
- Apply MDCT formula
- Show cosine values clearly
- Display step-by-step calculation table
- Give final coefficients
EXPECTED OUTPUT
- Format
- table
- Schema
- table
- Constraints
-
- step-by-step calculation table
- show cosine values clearly
- identify N and 2N
- final coefficients
SUCCESS CRITERIA
- Identify N and 2N
- Apply MDCT formula
- Show cosine values clearly
- Display step-by-step calculation table
- Give final coefficients
FAILURE MODES
- Use incorrect MDCT formula
- Misidentify N or 2N
- Fail to display table or cosine values
CAVEATS
- Missing context
-
- Mathematical formula for MDCT.
- Confirmation of MDCT type and any windowing function.
- Precision requirements for cosine values and calculations.
- Ambiguities
-
- Does not specify the exact MDCT formula or type (e.g., Type-IV MDCT).
- Unclear how to determine N and 2N for input sequence of length 4 (typically 2N=4, N=2 for MDCT).
QUALITY
- OVERALL
- 0.65
- CLARITY
- 0.85
- SPECIFICITY
- 0.75
- REUSABILITY
- 0.20
- COMPLETENESS
- 0.65
IMPROVEMENT SUGGESTIONS
- Explicitly include the MDCT formula, e.g., 'X(k) = sqrt(2/N) * sum_{n=0}^{2N-1} x(n) * cos[π/(2N) * (2n+1+N+k)(2n+1)]' for Type-IV.
- Clarify: 'For input length 4, set 2N=4, N=2.'
- Replace specific x(n) with placeholder like 'x(n) = {sequence}' for reusability.
- Define table format: 'Columns: k, n, cos value, x(n), x(n)*cos, running sum.'
USAGE
Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.
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