文件名称：Digital Signal Processing An Experimental Approach
文件大小：5.23MB
文件格式：RAR
更新时间：2021-01-17 04:49:30
DSP IIR FIR LMS
"Digital Signal Processing" is a mathematically rigorous but accessible treatment of digital signal processing that intertwines basic theoretical techniques with hands-on laboratory instruction. Divided into three parts, the book covers various aspects of the digital signal processing (DSP) 'problem'. It begins with the analysis of discrete-time signals and explains sampling and the use of the discrete and fast Fourier transforms. The second part of the book - covering digital to analog and analog to digital conversion - provides a practical interlude in the mathematical content before Part III lays out a careful development of the Z-transform and the design and analysis of digital filters. MATLAB[registered] and Simulink[registered] are employed extensively to allow the reader to experience the beautiful mathematics underlying this important discipline, and to demonstrate the subject's engineering relevance. The practical microprocessor-oriented parts of Digital Signal Processing are introduced with special reference to the ADuC841, a lab manual for which can be downloaded from online. These labs can be easily transposed for other microprocessors. Problems are provided at the end of each chapter and an electronic solutions manual is available for tutors. Academic tutors of courses in DSP will find this book to be an invaluable aid in explaining the fundamental mathematics of digital signal processing and drawing out its significance for engineers. Electrical and computer engineers working in signals- and communications-related fields can use the book as a reference or for self-tuition and for deepening their understanding of the techniques they use. Graduate applied mathematics, electrical, electronic and computer engineering students interested in DSP will learn the underlying mathematics of a vital engineering discipline and how to apply it in practical laboratory situations.
【文件预览】：
Digital Signal Processing An Experimental Approach
----16Resistor-chain Converters.pdf(232KB)
----22Very-narrow-band Filters.pdf(111KB)
----Part III.pdf(17KB)
----14The Single- and Dual-slope Analog to Digital Converters.pdf(359KB)
----19Filter Types.pdf(114KB)
----18Discrete-time Systems and the Z-transform.pdf(279KB)
----12The R-2R Ladder DAC.pdf(148KB)
----30The Goertzel Algorithm.pdf(131KB)
----back-matter.pdf(64KB)
----13The Successive Approximation Analog to Digital Converter.pdf(126KB)
----6Signal Generation with the Help of MATLAB.pdf(98KB)
----28Design of FIR Filters.pdf(219KB)
----21Two Simple FIR Filters.pdf(119KB)
----17Sigma-Delta Converters.pdf(268KB)
----front-matter.pdf(317KB)
----Part II.pdf(17KB)
----25Implementing an IIR Digital Filter.pdf(266KB)
----29Implementing a Hilbert Filter.pdf(102KB)
----8The General Structure of Sampled-data Systems.pdf(104KB)
----15The Pipelined AD.pdf(158KB)
----1Understanding Sampling.pdf(285KB)
----3Time-limited Functions Are Not Band-limited.pdf(160KB)
----9The operational Amplifier.pdf(181KB)
----5Windowing.pdf(258KB)
----23Design of IIR Digital Filters The Old-fashioned Way.pdf(250KB)
----7The Spectral Analysis of Random Signals.pdf(280KB)
----27Group Delay and Phase Delay in Filters.pdf(197KB)
----24New Filters from Old.pdf(197KB)
----26IIR Filter Design Using MATLAB.pdf(122KB)
----11The Binary Weighted DAC.pdf(150KB)
----Part I.pdf(17KB)
----20When to Use C (Rather than Assembly Language).pdf(141KB)
----2Signal Reconstruction.pdf(128KB)
----10A Simple Digital to Analog Converter.pdf(179KB)
----4Fourier Analysis and the Discrete Fourier Transform.pdf(457KB)