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| Preface | |
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| Signals and Systems | |
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| Tutorial: Basic MATLAB Functions for Representing Signals | |
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| Discrete-Time Sinusoidal Signals | |
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| Transformations of the Time Index for Discrete-Time Signals | |
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| Properties of Discrete-Time Systems | |
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| Implementing a First-Order Difference Equation | |
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| Continuous-Time Complex Exponential Signals | |
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| Transformations of the Time Index for Continuous-Time Signals | |
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| Energy and Power for Continuous-Time Signals | |
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| Linear Time-Invariant Systems | |
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| Tutorial: conv | |
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| Tutorial: filter | |
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| Tutorial: lsim with Differential Equations | |
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| Properties of Discrete-Time LTI Systems | |
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| Linearity and Time-Invariance | |
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| Noncausal Finite Impulse Response Filters | |
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| Discrete-Time Convolution | |
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| Numerical Approximations of Continuous-Time Convolution | |
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| The Pulse Response of Continuous-Time LTI Systems | |
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| Echo Cancellation via Inverse Filtering | |
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| Fourier Series Representation of Periodic Signals | |
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| Tutorial: Computing the Discrete-Time Fourier Series with fft | |
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| Tutorial: freqz | |
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| Tutorial: lsim with System Functions | |
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| Eigenfunctions of Discrete-Time LTI Systems | |
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| Synthesizing Signals with the Discrete-Time Fourier Series | |
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| Properties of the Continuous-Time Fourier Series | |
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| Energy Relations in the Continuous-Time Fourier Series | |
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| First-Order Recursive Discrete-Time Filters | |
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| Frequency Response of a Continuous-Time System | |
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| Computing the Discrete-Time Fourier Series | |
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| Synthesizing Continuous-Time Signals with the Fourier Series | |
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| The Fourier Representation of Square and Triangle Waves | |
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| Continuous-Time Filtering | |
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| The Continuous-Time Fourier Transform | |
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| Tutorial: freqs | |
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| Numerical Approximation to the Continuous-Time Fourier Transform | |
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| Properties of the Continuous-Time Fourier Transform | |
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| Time- and Frequency-Domain Characterizations of Systems | |
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| Impulse Responses of Differential Equations by Partial Fraction Expansion | |
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| Amplitude Modulation and the Continuous-Time Fourier Transform | |
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| Symbolic Computation of the Continuous-Time Fourier Transform | |
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| The Discrete-Time Fourier Transform | |
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| Computing Samples of the DTFT | |
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| Telephone Touch-Tone | |
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| Discrete-Time All-Pass Systems | |
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| Frequency Sampling: DTFT-Based Filter Design | |
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| System Identification | |
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| Partial Fraction Expansion for Discrete-Time Systems | |
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| Time and Frequency Analysis of Signals and Systems | |
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| A Second-Order Shock Absorber | |
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| Image Processing with One-Dimensional Filters | |
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| Filter Design by Transformation | |
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| Phase Effects for Lowpass Filters | |
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| Frequency Division Multiple-Access | |
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| Linear Prediction on the Stock Market | |
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| Sampling | |
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| Aliasing due to Undersampling | |
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| Signal Reconstruction from Samples | |
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| Upsampling and Downsampling | |
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| Bandpass Sampling | |
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| Half-Sample Delay | |
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| Discrete-Time Differentiation | |
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| Communications Systems | |
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| The Hilbert Transform and Single-Sideband AM | |
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| Vector Analysis of Amplitude Modulation with Carrier | |
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| Amplitude Demodulation and Receiver Synchronization | |
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| Intersymbol Interference in PAM Systems | |
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| Frequency Modulation | |
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| The Laplace Transform | |
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| Tutorial: Making Continuous-Time Pole-Zero Diagrams | |
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| Pole Locations for Second-Order Systems | |
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| Butterworth Filters | |
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| Surface Plots of Laplace Transforms | |
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| Implementing Noncausal Continuous-Time Filters | |
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| The z-Transform | |
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| Tutorial: Making Discrete-Time Pole-Zero Diagrams | |
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| Geometric Interpretation of the Discrete-Time Frequency Response | |
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| Quantization Effects in Discrete-Time Filter Structures | |
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| Designing Discrete-Time Filters with Euler Approximations | |
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| Discrete-Time Butterworth Filter Design Using the Bilinear Transformation | |
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| Feedback Systems | |
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| Feedback Stabilization: Stick Balancing | |
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| Stabilization of Unstable Systems | |
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| Using Feedback to Increase the Bandwidth of an Amplifier | |
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| Bibliography | |
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| Index | |