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Chapter Metrics

Generated by: Book Metrics Python Program v0.08
Generated on: June 03, 2026 at 12:10 PM

This file contains chapter-by-chapter metrics for student-facing content.

Chapter Name Sections Diagrams Equations Words Links Quiz Refs
1 Mathematical Foundations 35 2 213 4,739 11 10 0
2 Introduction to Signals and Systems 38 2 176 4,810 11 10 0
3 System Properties and Analysis 39 2 166 4,807 12 10 0
4 Convolution and Correlation 29 2 156 4,152 13 10 0
5 Sampling and Quantization 33 2 90 4,283 11 10 0
6 Fourier Analysis Fundamentals 31 2 158 4,458 12 10 0
7 DFT, FFT and Frequency Domain Analysis 29 2 47 4,060 12 10 0
8 Advanced Transforms 26 2 86 4,181 14 10 0
9 Filter Design Fundamentals 28 1 73 4,447 14 10 0
10 Advanced Filter Design and Implementation 26 1 57 4,433 15 10 0
11 Adaptive Signal Processing 37 1 107 4,453 14 10 0
12 Stochastic Processes and Random Signals 33 1 111 4,423 15 10 0
13 Multirate Signal Processing and Compression 36 1 38 4,036 13 10 0
14 Time-Frequency Analysis and Advanced Topics 32 1 64 4,080 14 10 0
15 Signal Processing Applications and AI Integration 42 1 1 5,078 14 10 0

Metrics Explanation

  • Chapter: Chapter number (leading zeros removed)
  • Name: Chapter title from index.md
  • Sections: Count of H2 and H3 headers in chapter markdown files
  • Diagrams: Count of H4 headers starting with '#### Diagram:'
  • Equations: LaTeX expressions using $ and $$ delimiters
  • Words: Word count across all markdown files in the chapter
  • Links: Markdown-formatted links [text](url)
  • Quiz: Number of quiz questions in the chapter's quiz.md (0 if none)
  • Refs: Number of references in the chapter's references.md (0 if none)