This undergraduate lab course provides analysis, design and practical Insights into waveform generation and filtering, signals, sampling, filtering, quantization, oversampling, noise shaping, and data converters, system training and calibration communication transmission and reception, Other applications include audio, biomedical and image processing. This course emphasizes tradeoffs in signal quality vs. implementation complexity in algorithm design, and is accessible by first-semester third-year undergraduates. In the course, students use signal processing theory to derive signal processing algorithms, convert signal processing algorithms to desktop simulations in Matlab, and map the algorithms onto embedded real-time software running on a Texas Instruments digital signal processor board.