Chapter 1 (Introduction and Organization, pp. 3-10) involves the reader with familiar MATLAB environment to performing DSP operations on realistic hardware target. Specifically, the TMS320C6713 digital signal processing starter kit (called a C6713 DSK) is chose.
Chapter 2 (Sampling and reconstruction, pp. 11-23) provides a through treatment of sampling of continuous-time signals and reconstruction of signal from their samples.
Chapter 3 (FIR Digital filters, pp. 25-46) deals only with sample domain filter implementation on a sample-by-sample basic.
Techniques for designing IIR filters are presented in Chapter 4 (IIR Digital Filters, pp. 47- 70). This design techniques include methods involving the conversion of analog filters into digital filters by various transformation.
In order to limit chapter length, Chapter 5 (Periodic Signal Generation, pp. 71-90) only the following techniques to generate periodic signals discusses: direct digital synthesizer, digital resonator, and impulse modulator.
Chapter 6 (Frame-based DSP, 91-110) contain frame-based processing and frequency domain filter implementation. The CPU performing of the signal processing algorithm is only interrupted at the end of frames rather than at every sample.
The only change in Chapter 7 (Digital Filtering using Frames, pp. 111-116) that reader is dealing with samples a frame at a time, rather than a sample at a time.
Chapter 8 (The Fast Fourier Transform, pp. 117-130) contains the introduction the FFT algorithm by Cooly and Tukey, and application of FFT algorithm to the computation of convolution, correlation, and filtering.
In chapter 9 (Spectral analysis and Windowing, pp. 131-141) we will see how FFT can be used for practical spectral analysis. This chapter also investigates how the FFT can be used for efficiency implementing digital filters.