Digital Signal Processing By Sanjay Sharma Apr 2026

That’s where has earned its reputation. While not as globally famous as Oppenheim or Proakis, Sharma’s text is widely used across Indian and Asian technical universities for a very clear reason: it bridges the gap between theory and application without drowning the reader in proofs. What Makes This Book Stand Out? 1. Exam-Focused Without Being Superficial Unlike many Western textbooks that prioritize theoretical depth, Sharma structures content to align with standard university syllabi (e.g., RTU, AKTU, PTU). Each chapter explicitly targets common exam problems: finding the Z-transform of a sequence, designing an IIR filter via bilinear transformation, or computing the DFT.

Why Sanjay Sharma’s ‘Digital Signal Processing’ Remains a Core Text for Engineers digital signal processing by sanjay sharma

⬇️ Found this useful? Repost to help a fellow engineering student. That’s where has earned its reputation

If you’re struggling with your DSP course, buy this book—not as your only reference, but as your . Work through every example in Chapters 4 (Z-transform), 6 (DFT/FFT), and 8 (IIR filter design). By the end, the fog will lift. but as your .

Recommended pairing: Sharma’s book + a Jupyter notebook with numpy.fft and scipy.signal . Theory + code = real understanding.

But learning DSP is notoriously tough. The dual hurdles—complex mathematics (convolution, Z-transforms, FFT) and abstract conceptual leaps—trip up many students.