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What does it take to turn ideas into action? What are the elements of a perfect pitch? How do you win the war for talent? How do you establish a brand without bucks? These are some of the issues everyone faces when starting or revitalizing any undertaking, and Guy Kawasaki, former marketing maven of Apple Computer, provides the answers.
The Art of the Start will give you the essential steps to launch great products, services, and companies-whether you are dreaming of starting the next Microsoft or a not-for-profit that's going to change the world. It also shows managers how to unleash entrepreneurial thinking at established companies, helping them foster the pluck and creativity that their businesses need to stay ahead of the pack. Kawasaki provides readers with GIST-Great Ideas for Starting Things-including his field-tested insider's techniques for bootstrapping, branding, networking, recruiting, pitching, rainmaking, and, most important in this fickle consumer climate, building buzz.
At Apple, Kawasaki helped turn ordinary customers into fanatics. As founder and CEO of Garage Technology Ventures, he has tested his iconoclastic ideas on real- world start- ups. And as an irrepressible columnist for Forbes, he has honed his best thinking about The Art of the Start.
From Publishers Weekly
Kawasaki (Rules for Revolutionaries) draws upon his dual background as an evangelist for Apple's Macintosh computer and as a Silicon Valley venture capitalist in this how-to for lau Read more...
Draft of "Mathematics of the Discrete Fourier Transform (DFT)," by J.O. Smith, CCRMA, Stanford, Winter 2002. The latest draft as linked HTML version are available on-line at http://www-ccrma.stanford.edu/~jos/mdft/.
Book Excerpts:
The Discrete Fourier Transform (DFT) can be understood as a numerical approximation to the Fourier Transform. However, the DFT has its own exact Fourier theory, which is the main focus of this book. The DFT is normally encountered in practice as the Fast Fourier Transform (FFT) -- a high-speed algorithm for computing the DFT. The FFT is used extensively in a wide range of digital signal processing applications, including spectrum analysis, high-speed convolution (linear filtering), filter banks, signal detection and estimation, system identification, audio compression (e.g., MPEG-II AAC), spectral modeling sound synthesis, and many other applications; some of these will be discussed in Chapter 8.
This book chooses to discuss DFT over the FT since the FT demands readers to use calculus right off the bat, while the DFT, on the other hand, replaces the infinite integral with a finite sum of various quantities. Calculus is not needed to define the DFT (or its inverse, as this book will show), and with finite summation limits, readers cannot encounter difficulties with infinities. Moreover, in the field of digital signal processing, signals and spectra are processed only in sampled form, so that the DFT is what readers really need anyway. In s Read more... 