Title
Intuitive Probability and Random Processes using MATLAB,New
Sold by Ergodebooks, an authorized reseller.
Returns accepted within 30 days | support@ergodebooks.com
Shipping Information
- Free Standard Shipping — United States only
- Processing Time: 1–3 business days
- Estimated Delivery: 3–5 business days after dispatch
- Double-boxed, fully insured & discreetly packaged
- Tracking number sent via email once dispatched
- Orders over $250 require signature upon delivery. Taxes calculated at checkout.
Returns & Refund
Returns accepted within 30 days of delivery.
Damaged or Defective Item
Free return shipping + replacement or full refund
Wrong Item Received
Free return shipping + replacement or full refund
Change of Mind
Return shipping at customer's expense · 25% restocking fee applies
Payment Option
Intuitive Probability and Random Processes using MATLAB is an introduction to probability and random processes that merges theory with practice. Based on the authors belief that only 'handson' experience with the material can promote intuitive understanding, the approach is to motivate the need for theory using MATLAB examples, followed by theory and analysis, and finally descriptions of 'realworld' examples to acquaint the reader with a wide variety of applications. The latter is intended to answer the usual question 'Why do we have to study this?' Other salient features are:*heavy reliance on computer simulation for illustration and student exercises*the incorporation of MATLAB programs and code segments*discussion of discrete random variables followed by continuous random variables to minimize confusion*summary sections at the beginning of each chapter*inline equation explanations*warnings on common errors and pitfalls*over 750 problems designed to help the reader assimilate and extend the conceptsIntuitive Probability and Random Processes using MATLAB is intended for undergraduate and firstyear graduate students in engineering. The practicing engineer as well as others having the appropriate mathematical background will also benefit from this book.About the AuthorSteven M. Kay is a Professor of Electrical Engineering at the University of Rhode Island and a leading expert in signal processing. He has received the Education Award 'for outstanding contributions in education and in writing scholarly books and texts...' from the IEEE Signal Processing society and has been listed as among the 250 most cited researchers in the world in engineering.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.