Logo

DSP: Designing for Optimal Results

Small book cover: DSP: Designing for Optimal Results

DSP: Designing for Optimal Results

Publisher: Xilinx, Inc.
Number of pages: 116

Description:
This book is a must-read for DSP designers who want to tap the power of the Virtex™-4 XtremeDSP™ Slice. It provides a detailed description of the multiple features of the slice as well as providing multiple examples that show you how to harness the power and flexibility of this powerful IP block. Tap into the XtremeDSP Slice and reap the rewards of highest performance, lowest power at the lowest cost.

Home page url

Download or read it online for free here:
Download link
(940KB, PDF)

Similar books

Book cover: Fourier Transform: Signal Processing and Physical SciencesFourier Transform: Signal Processing and Physical Sciences
by - InTech
The book covers fast hybrid recursive FT based on Jacket matrix, acquisition algorithm for global navigation system, determining the sensitivity of output parameters based on FFT, convergence of integrals based on Riemann-Lebesgue Lemma function, ...
(1539 views)
Book cover: Introduction To Random ProcessesIntroduction To Random Processes
by - McGraw-Hill
A first course on random processes for graduate engineering and science students, particularly those with an interest in the analysis and design of signals and systems. The book includes detailed coverage of minimum-mean-squared-error estimation.
(7200 views)
Book cover: Notes on the Design of Optimal FIR FiltersNotes on the Design of Optimal FIR Filters
by - Connexions
This book examines how to convert a typical filter specification into a reasonably accurate estimate of the length of the impulse response. The text covers filter sizing, performance comparisons with other FIR design methods, etc.
(4893 views)
Book cover: An Introduction to Statistical Signal ProcessingAn Introduction to Statistical Signal Processing
by - Cambridge University Press
The book covers basic probability, random objects, expectation, second order moment theory with examples of the random process models and their basic properties, specific applications for communication, estimation, detection, modulation.
(17524 views)