KurzbeschreibungThe Most Complete, Modern, and Useful Collection of DSP Recipes: More Than 50 Practical Solutions and More than 30 Summaries of Pertinent Mathematical Concepts for Working Engineers Notes on Digital Signal Processing is a comprehensive, easy-to-use collection of step-by-step procedures for designing and implementing modern DSP solutions. Leading DSP expert and IEEE Signal Processing Magazine associate editor C. Britton Rorabaugh goes far beyond the basic procedures found in other books while providing the supporting explanations and mathematical materials needed for a deeper understanding. Rorabaugh covers the full spectrum of challenges working engineers are likely to encounter and delves into crucial DSP nuances discussed nowhere else. Readers will find valuable, tested recipes for working with multiple sampling techniques; Fourier analysis and fast Fourier transforms; window functions; classical spectrum analysis; FIR and IIR filter design; analog prototype filters; z-transform analysis; multirate and statistical signal processing; bandpass and quadrature techniques; and much more. Notes on Digital Signal Processing begins with mapping diagrams that illuminate the relationships between all topics covered in the book. Many recipes include examples demonstrating actual applications, and most sections rely on widely used MATLAB tools. DSP fundamentals: ideal, natural, and instantaneous sampling; delta functions; physical signal reconstruction; and more Fourier Analysis: Fourier series and transforms; discrete-time and discrete Fourier transforms; signal truncation; DFT leakage and resolution Fast Fourier transforms: decimation in time and frequency; prime factor algorithms; and fast convolution Window techniques: sinusoidal analysis; window characteristics and choices; Kaiser windows; and more Classical spectrum analysis: unmodified and modified periodograms; Bartlett's and Welch's periodograms; and periodogram performance FIR filters: design options; linear-phase FIR filters; periodicities; basic and Kaiser window methods; and the Parks-McClellan algorithm Analog prototype filters: Laplace transforms; characterization; and Butterworth, Chebyshev, elliptic, and Bessel filters z-Transform analysis: computation and transforms using partial fraction expansion IIR filters: design options; impulse invariance methods; and bilinear transformation Multirate signal processing: decimation and interpolation fundamentals; multistage and polyphase decimators and interpolation Bandpass and quadrature techniques: bandpass sampling; wedge diagrams; complex and analytic signals; and advanced signal generation techniques Statistical signal processing: parametric modeling of discrete-time signals; autoregressive signal models; fitting AR and All-Pole models; and more SynopsisThe perfect DSP working desk reference:complete guide to applying DSP techniques in advanced, practical applications - 42 step-by-step recipes for implementing advanced DSP techniques that were once restricted to "DSP gurus" - Includes design algorithms, processing sequences, and reference designs - Presents new spectral estimation techniques that achieve much finer resolution - An ideal complement to Lyons' best-selling Understanding Digital Signal Processing, Second Edition Summary From cellphones to iPods, every leading-edge communications and multimedia device is made possible by Digital Signal Processing technology. That's why there are dozens of books on DSP principles (including our best-selling Understanding Digital Signal Processing, Second Edition by Richard Lyons.)Few books show working engineers exactly how to apply these DSP techniques, one step at a time. That's where Gourmet Recipes for Digital Signal Processing comes in. This relentlessly practical, down-to-earth book cuts through all the theory and math, to show engineers exactly what each DSP technique can do, and how to implement it in real applications.This action-focused book presents 42 DSP "recipes" covering advanced techniques that were formerly restricted to "DSP gurus." Each contains at least one step-by-step design algorithm or processing sequence; many contain two or three, covering key variants of the basic technique. Coverage includes: " Modern spectral estimation techniques that provide much finer spectral resolution than older techniques based on the discrete Fourier transform " Advanced DSP techniques for tomorrow's communications applications " Tools for assessing the impact of quantization and finite-precision arithmetic upon proposed implementations of each processing technique " Guidance on choosing the right design techniques from the multitude of options now available

Notes on Digital Signal Processing: Practical Recipes for Design, Analysis, and Implementation PDF

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