It takes the average reader 3 hours and 34 minutes to read Linear Algebra for Signal Processing by Adam Bojanczyk
Assuming a reading speed of 250 words per minute. Learn more
Signal processing applications have burgeoned in the past decade. During the same time, signal processing techniques have matured rapidly and now include tools from many areas of mathematics, computer science, physics, and engineering. This trend will continue as many new signal processing applications are opening up in consumer products and communications systems. In particular, signal processing has been making increasingly sophisticated use of linear algebra on both theoretical and algorithmic fronts. This volume gives particular emphasis to exposing broader contexts of the signal processing problems so that the impact of algorithms and hardware can be better understood; it brings together the writings of signal processing engineers, computer engineers, and applied linear algebraists in an exchange of problems, theories, and techniques. This volume will be of interest to both applied mathematicians and engineers.
Linear Algebra for Signal Processing by Adam Bojanczyk is 208 pages long, and a total of 53,664 words.
This makes it 70% the length of the average book. It also has 66% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 4 hours and 53 minutes to read Linear Algebra for Signal Processing aloud.
Linear Algebra for Signal Processing 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.
When deciding what to show young students always use your best judgement and consult a professional.
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