DSP analyses and derivations are typically performed on discrete-time signal models with no amplitude inaccuracies, "created" by the abstract process of sampling. With applications and demand for high-performing digital signal processors expanding rapidly, it is becoming increasingly important to master real-time digital signal processing (DSP) techniques. This laboratory provides theory, design and practical insights into waveform generation and filtering. Other applications include audio processing. This course emphasizes tradeoffs in signal quality vs. implementation complexity in algorithm design. To reinforce fundamentals of discrete-time linear systems and digital signal processing through computer laboratory exercises. Digital Signal Processing Laboratory Experiments Using MATLAB, C and the TMS320C6713 and TMS320C 5416 DSK offer users a practical--and economical approach to understand DSP principles, designs, and applications.