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Let’s be fair. Sanjay Sharma’s book is not for researchers or advanced mathematicians. If you want measure theory behind Fourier transforms or rigorous signal space analysis, look elsewhere. Also, some editions have minor typos in numerical answers—so always double-check critical problems.
But for 90% of engineering students? It’s more than enough.
Ask any student: the jump from continuous to discrete systems is where many fall. Sharma dedicates entire sections to mapping the relationship between Laplace, Fourier, and Z-transforms using tables and comparison charts. By the end, you’ll actually see the connection, not just memorize it. Signals And Systems By Sanjay Sharma Pdf
Week 1: Signals, operations, classification, basic examples.
Week 2: Convolution and LTI systems; impulse response practice.
Week 3: Fourier series and periodic signal analysis.
Week 4: Fourier transform and frequency-domain properties.
Week 5: Laplace transform, ROC, pole-zero intuition.
Week 6: Sampling theorem, discrete signals, introduction to z-transform.
Week 7: Z-transform practice, discrete-time LTI system analysis.
Week 8: Applications — filtering, modulation, review, and mixed problem sets.
Sanjay Sharma’s Signals and Systems is designed specifically for undergraduate students (particularly those preparing for university exams or the GATE exam in India). It is considered useful for the following reasons: Let’s be fair
1. Exam-Oriented Approach Unlike heavy theoretical texts (like Oppenheim or Haykin), Sharma’s book is concise. It focuses on the syllabus patterns of technical universities, making it highly efficient for exam preparation.
2. Solved Examples The book is famous for its step-by-step solved examples. It breaks down complex mathematical concepts—like Convolution, Fourier Transforms, and Laplace Transforms—into algorithmic steps that are easy to follow during exams. Also, some editions have minor typos in numerical
3. Coverage of Topics The book typically covers the standard curriculum:
