It takes the average reader 7 hours and 10 minutes to read Modern Spectrum Analysis of Time Series by Prabhakar S. Naidu
Assuming a reading speed of 250 words per minute. Learn more
Spectrum analysis can be considered as a topic in statistics as well as a topic in digital signal processing (DSP). This book takes a middle course by emphasizing the time series models and their impact on spectrum analysis. The text begins with elements of probability theory and goes on to introduce the theory of stationary stochastic processes. The depth of coverage is extensive. Many topics of concern to spectral characterization of Gaussian and non-Gaussian time series, scalar and vector time series are covered. A section is devoted to the emerging areas of non-stationary and cyclostationary time series. The book is organized more as a textbook than a reference book. Each chapter includes many examples to illustrate the concepts described. Several exercises are included at the end of each chapter. The level is appropriate for graduate and research students.
Modern Spectrum Analysis of Time Series by Prabhakar S. Naidu is 424 pages long, and a total of 107,696 words.
This makes it 143% the length of the average book. It also has 132% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 9 hours and 48 minutes to read Modern Spectrum Analysis of Time Series aloud.
Modern Spectrum Analysis of Time Series is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
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