Friday, April 29, 2011

General * Digital Vs Analog Signal Processing * Applications of DSP Analog Signals and Transforms * Concept of a Time-Frequency Transform * Common Signals * Finding System Response Directly via Differential Equation * Applications of Concepts in Signals and Systems Discrete Signals, Sampling, and Transforms * Definition of Common Terms * Properties of DT Systems * Practical A/D's D/A's and the Sampling Process * Frequency of Aliased Signals * Useful Transforms and Relationships * Sound I/O, Plotting Signals & Spectrums in SciLab * Butterfly Diagram of 4-Point FFT * Butterfly Diagram of 8-Point FFT * Explanation of Musical Staff, with Analog Frequencies of Notes * Hardware Structures for Digital Filters * Formal Solution of Differential Equations * Linear Phase FIR Filters Analog Filters * Grid Paper for Constructing Bode Plots * Finding the Corner Frequencies of an Unknown System * Capturing a Frequency Response Plot on the Scope Digital Filters * Filter Analysis * Filter Design by Pole/Zero Placement * Filter Design by Windowing * Filter Design by Frequency Sampling * Developing a Digital Filter to Process WAV Files * Developing a Digital Filter on the TI-DSK Board * Using the Daughter Card Interface on the TI DSK * SciLab Version 3.0, with Additional Functions for Filter Analysis * Check out this image of |H(z)| for a notch filter, made with 'zplane3d_fwd()' by SciLab! The surface is clipped at the unit circle, revealing the contour of |H(z)|. The Filter Analysis notes explain the usage of SciLab with digital filters. Advanced DSP * Phased Array Signal Processing * Adaptive Filters Analog Control Systems * Simplifying Block Diagrams * Finding a Transfer Function via Mason's Gain Rule * Finding Stability via Routh-Hurwitz * Determining Performance Measures * Introduction to Root Locus Plots * Finding a Root Locus: Step-By-Step * Finding Bode Plots and Gain & Phase Margin * Designing a Lead Compensator * Compensator Example * Nyquist Stability Criterion Probability & Random Signals * Basic Probability 1 * Basic Probability 2 * Basic Probability 3 * Multiple Random Variables * Random Processes Kalman Filter * Kalman Filter * Kalman Filter - Summary for [PVA] State * Kalman Filter Derivation Applied Math * Example of a Least-Squares Fit * Constrained Optimization via Lagrange Multipliers

General
Analog Signals and Transforms
Discrete Signals, Sampling, and Transforms
Analog Filters
Digital Filters
Advanced DSP
Analog Control Systems
Probability & Random Signals
Kalman Filter
Applied Math

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