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hussain z digital signal processing intr matlab app 2011

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Textbook in PDF format In three parts, this book contributes to the advancement of engineering education and that serves as a general reference on digital signal processing. Part I presents the basics of analog and digital signals and systems in the time and frequency domain. It covers the core topics: convolution, transforms, filters, and random signal analysis. It also treats important applications including signal detection in noise, radar range estimation for airborne targets, binary communication systems, channel estimation, banking and financial applications, and audio effects production. Part II considers selected signal processing systems and techniques. Core topics covered are the Hilbert transformer, binary signal transmission, phase-locked loops, sigma-delta modulation, noise shaping, quantization, adaptive filters, and non-stationary signal analysis. Part III presents some selected advanced DSP topics. Theory and Selected Applications Analog Signals and Systems Definitions, Classifications, and Overview Time-Domain / Frequency-Domain Representations Random Signals Applications of Analog Signal Analysis Analog Filters Discrete and Digital Signals and Systems Introduction Ideal Sampling and Reconstruction Time-Domain / Frequency-Domain Representations A Discrete-Time and Discrete-Frequency Representation Signal Correlation, Power, and Energy Digital Filters and Their Applications Applied Signal Processing Selected Topics in Applied Signal Processing Introduction Binary Signal Transmission The Hilbert Transform and the Analytic Signal Phase-Locked Loops Linear Estimation and Adaptive Filtering Sigma-Delta Modulation & Noise Shaping Non-Stationary Signal Analysis Advanced Topics The Impact of Finite Word length Implementation Introduction Overview of Number Formats The Quantization Process Coefficient Quantization Error in Digital Filters Quantization Errors in Arithmetic Operations Limit Cycle Phenomena Multirate Digital Signal Processing Introduction Basic Elements of Multirate Processing Sampling Rate Conversion Using Multirate Structures Efficient Implementation of Multirate Systems Appendix A: Tutorials Appendix B: Miscellaneous Exercises Appendix C: Tables and Formulas Appendix D: Dsp Lab Experiments

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Hussain Z. Digital Signal Processing. An Intr. MATLAB...App 2011.pdf 4.9 MB

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hussain z digital signal processing intr matlab app 2011

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