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Introduction | |
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A brief History of Communications | |
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Basics of Wireless Communications | |
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Digital Communications | |
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Why Discrete-Time Processing is so Popular | |
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Organization of the Text | |
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Notes and References | |
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Signals and Systems 1: A Review of the Basics | |
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Introduction | |
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Signals | |
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Continuous-Time Signals | |
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Discrete-Time Signals | |
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Systems | |
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Continuous-Time Systems | |
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Discrete- Time Systems | |
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Frequency Domain Characterization | |
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Laplace Transform | |
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Continuous-Time Fourier Transform | |
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Z Transform | |
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Discrete-Time Fourier Transform | |
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The Discrete Fourier Transform | |
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The Relationship Between Discrete-Time and Continuous-Time Systems | |
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The Sampling Theorem | |
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Discrete-Time Processing of Continuous-Time Signals | |
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Discrete-Time Processing of Bandpass Signals | |
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Notes and References | |
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Exercises | |
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Signals and Systems 2: Some Useful Discrete-Time Techniques for Digital Communications | |
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Introduction | |
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Multirate | |
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Impulse Train Sampling | |
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Downsampling | |
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Upsampling | |
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The Noble Identities | |
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Polyphase Filterbanks | |
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Discrete-Time Filters Design Methods | |
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IIR Filter Design | |
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FIR Filter Design | |
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Two Important Filters: The Differentiator and the Intergrator | |
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Notes and References | |
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Exercises | |
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A Review of Probability Theory | |
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Basic Definitions | |
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Gaussian Random Variables | |
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Density and Distribution Functions | |
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Product Moments | |
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Bivariate Gaussian Distribution | |
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Functions of Random Variables | |
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Multivariate Gaussian Random Variables | |
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Random Sequences | |
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Power Spectral Density | |
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Random Sequences and Discrete-Time LTI Systems | |
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Additive White Gaussian Noise | |
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Continuous Time Random Processes | |
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The White Gaussian Random Process: A Good Model For Noise | |
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White Gaussian Noise in a sampled data System | |
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Notes and References | |
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Exercises | |
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Linear Modulation 1: Demodulation, and Detection | |
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Signal Spaces | |
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Definitions | |
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The Synthesis Equation and Linear Modulation | |
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The Analysis Equation and Detection | |
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The matched Filter | |
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M-ary Baseband Pulse Amplitude Modulation (PAM) | |
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Continuous-Time Realization | |
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Discrete-Time Realization | |
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M-ary Quadrature Amplitude Modulation (MQAM) | |
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Continuous-Time Realization | |
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Discrete-Time Realization | |
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Offset QPSK | |
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Multicarrier | |
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Maximum Likelihood detection | |
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Introduction | |
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Preliminaries | |
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Maximum Likelihood Decision Rule | |
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Notes and References | |
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Exercises | |
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Linear Modulation 2: Performance | |
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Performance of PAM | |
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Bandwidth | |
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Probability of Error | |
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Performance of QAM | |
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Bandwidth | |
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Probability of Error | |
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Comparisons | |
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Link Budgets | |
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Received Power and The Friis equation | |
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Equivalent Noise Temperature and Noise Figure | |
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The Link Budget Equation | |
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Projection White Noise Onto An Orthonormal Basis Set | |
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Notes and References | |
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Exercises | |
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Carrier Phase Synchronization | |
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Basics Problem Formulation | |
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Carrier Phase Synchronization for QPSK | |
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A Heuristic Phase Error Det | |