1. explain the concepts of sampling and reconstruction;

2. convert decimal numbers into unsigned binary, 2’s complement signed or floating-point formats, and convert binary numbers back to decimal;

3. explain quantization and signal-to-noise ratio (SNR);

4. be able to use difference equations and manipulate them for a given task;

5. be able to iterate difference equations and turn this into code for a digital signal processing (DSP) implementation; and

6. explain ideal reconstruction and derive the polynomial interpolation for a signal.