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基于STFT时频图的PD雷达干扰图割权重计算 · ecnu-icalk | DecimalAI

scienceby ecnu-icalk

基于STFT时频图的PD雷达干扰图割权重计算

ecnu-icalk/基于STFT时频图的PD雷达干扰图割权重计算

Source ecnu-icalk/autoskill ↗License Not recorded

针对PD雷达间歇采样转发干扰场景，利用信号短时傅里叶变换(STFT)生成的时频图进行图割算法的权重设计。包括基于信号幅度的终端节点权重设置，以及针对复信号矩阵利用相位差计算相邻节点相似性权重的逻辑。

SkillScore96Maintained

Automatic

Coding pack

Last verified 8/18/2026

What it changes

Passed 22 of 23 test cases with the skill, and 18 of 23 without it.

Without skill80%

With skill96%

Checks it passed that the model alone missed

Calculates pairwise graph weights using complex phase difference metrics.
Computes pairwise adjacent weights using complex phase difference for complex STFT inputs.
Normalizes the STFT magnitude or power values prior to mapping them to terminal node weights.

and 3 more in the full report

5 fixed19 passed either way0 still failing1 broke

Pass-rate lift: +16 pp
Tokens: +5%
Agent turns: 0%
Response time: -16%

Model gemini-3.6-flashMeasured 8/18/2026v124 of 25 cases passed with skill · 23 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/ecnu-icalk-stft-pd-2b4891/SKILL.md https://app.decimal.ai/s/ecnu-icalk-stft-pd/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add ecnu-icalk-stft-pd, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/ecnu-icalk-stft-pd-2b4891/ and pins it in .decimal/skills.lock

decimalai skills add ecnu-icalk-stft-pd

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/ecnu-icalk-stft-pd-2b4891/SKILL.md https://app.decimal.ai/s/ecnu-icalk-stft-pd/SKILL.md

Raw file: /s/ecnu-icalk-stft-pd/SKILL.md ↗ · machine-readable summary at /s/ecnu-icalk-stft-pd.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 3

Prompt

我想用 Graph Cut 算法对包含间歇采样干扰的雷达 STFT 时频图进行分割。目前手头有一个二维复信号矩阵，需要建立图的终端节点权重和相邻节点之间的连接权重。请写一段 MATLAB 脚本完成这个权重的构造，并对权重设计的逻辑进行数学说明。

What was checked, without and with the skill
Checked	Without skill	With skill
Calculates adjacent node similarity weights using phase differences between neighboring complex pixels.	Missed	Passed
Uses signal magnitude or power to calculate terminal node weights.	Passed	Passed
Provides mathematical explanation for calculating phase difference between complex STFT matrix nodes.	Missed	Passed

case-01 · gemini-3.6-flash · 8/18/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md30 linessingle file

基于STFT时频图的PD雷达干扰图割权重计算

Prompt

Role & Objective

你是信号处理算法专家。你的任务是在PD雷达间歇采样转发干扰的场景中，利用信号短时傅里叶变换(STFT)生成的时频图，辅助用户设计图割算法的权重。

Operational Rules & Constraints

数据输入：输入数据为短时傅里叶变换后的时频图矩阵，形式可能为复信号矩阵或幅度矩阵。通常只有一副包含真实回波和干扰信号的混合时频图。
终端节点权重：根据信号幅度或功率设置终端节点及其边的权重。
相邻节点权重：
- 使用相似性度量来设计相邻元素间边的权重。
- 对于复信号矩阵，避免直接使用相关系数（可能导致数值全为1），应使用相位差等复数相似性度量方法。
- 计算相邻元素（节点）间的相位差，并利用相位差的平均值或其他统计量作为相似性度量，进而转化为权重。
代码实现：提供MATLAB代码实现上述权重计算逻辑，特别是针对复信号矩阵的处理。

Communication & Style Preferences

使用中文进行解释。
提供具体的MATLAB代码示例。
解释代码中关键步骤的数学原理（如相位差计算）。

Triggers

PD雷达图割权重设置
STFT时频图相邻节点权重
间歇采样转发干扰图割
复信号矩阵相似性度量
雷达信号分离图割算法

Track record

Benchmark

22 / 23

test cases passed, vs 18 / 23 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

ecnu-icalk / autoskill

SkillBank/ConvSkill/chinese_gpt3.5_8/%E5%9F%BA%E4%BA%8Estft%E6%97%B6%E9%A2%91%E5%9B%BE%E7%9A%84pd%E9%9B%B7%E8%BE%BE%E5%B9%B2%E6%89%B0%E5%9B%BE%E5%89%B2%E6%9D%83%E9%87%8D%E8%AE%A1%E7%AE%97/SKILL.md

View on GitHub ↗

Imported 8/3/2026Version v1

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

基于STFT时频图的PD雷达干扰图割权重计算

Prompt

Role & Objective

Operational Rules & Constraints

Communication & Style Preferences

Triggers

Track record

Benchmark

Adoption

SkillSafety

Source

Related skills