PREFACE
Chapter 1: INTRODUCTION
1.1. Introduction
1.2. Signals – concept and categorization
1.3. Advantages and distadvantages of digital signal processing
1.4. Applications
1.5. Using MATLAB
1.6. Summary 
Chapter 2: DISCRETE-TIME SIGNALS IN FREQUENCY DOMAIN 
2.1. Discrete-time signals in time domain
2.2. Discrete-time signals in frequency domain
2.3. Summary
2.4. Problems
Chapter 3: DISCRETE-TIME SYSTEMS 
3.1. Definition and properties of discrete-time systems
3.2. Systems described by difference equations
3.3. Systems described by impulse response 
3.4. Convolution
3.5. Systems described by frequency responses
3.6. Summary
3.7. Problems
Chapter 4: DISCRETE-TIME SIGNALS AND SYSTEMS IN Z-DOMAIN
4.1. Definition and examples 
4.2. The region of convergence of the z-transform
4.3. The inverse z-transform
4.4. Properties of the z-transform
4.5. Systems described by transfer functions
4.6. Systems described by poles and zeros
4.7. Fourier transform and z-transform
4.8. Summary
4.9. Problems
Chapter 5: THE DISCRETE FOURIER TRANSFORM
5.1. Introduction
5.2. The discrete fourier transform (DFT) 
5.3. Properties of DFT
5.4. Circular convolution
5.5. Fast Fourier transform
5.6. Windows for Fast Fourier Transform
5.7. Spectrogram 
5.8. Summary
5.9. Problems 
Chapter 6: DIGITAL FILTERS
6.1. Introduction
6.2. Classification of filters
6.3. Finite Impulse Response (FIR) filters 
6.4. Infinite Impulse Response (IIR) filters
6.5. Adaptive filters
6.6. Digital filter characteristics
6.7. Applications
6.8. Summary 
6.9. Problems 
BIBLIOGRAPHY