Digital Signal Processing Experiments with MATLAB Implementation

Comprehensive digital signal processing experiments with detailed MATLAB source code implementation. Experiment 1: System Response and System Stability This experiment explores fundamental DSP concepts and principles, demonstrating system characterization using MATLAB's filter() and impz() functions for impulse response analysis. The implementation includes stability verification through pole-zero plotting using zplane() function and transfer function analysis. Experiment 2: Time-Domain Sampling and Frequency-Domain Sampling This module covers sampling theorem principles with MATLAB implementations using stem() for discrete-time signals and fft() for frequency analysis. The code demonstrates aliasing effects and proper sampling techniques with practical examples of sampling rate selection and reconstruction. Experiment 3: Spectral Analysis Using FFT This experiment introduces Fast Fourier Transform (FFT) algorithms with MATLAB's fft() and fftshift() functions. The implementation includes windowing techniques using hamming() and hanning() functions, power spectral density estimation, and frequency resolution analysis with practical signal processing examples. Experiment 4: IIR Digital Filter Design and Software Implementation Covers Infinite Impulse Response (IIR) filter design using butter(), cheby1(), and ellip() functions for various filter types (low-pass, high-pass, band-pass). The implementation includes frequency response analysis using freqz(), filter coefficient quantization effects, and real-time filtering applications. Experiment 5: FIR Digital Filter Design and Software Implementation Focuses on Finite Impulse Response (FIR) filter design using fir1() and firls() functions with windowing methods. The implementation demonstrates linear phase characteristics, filter order optimization, and practical applications using conv() function for signal filtering with stability analysis. Experiment 6: DSP Application in DTMF Dialing Systems This experiment demonstrates digital signal processing applications in Dual-Tone Multi-Frequency (DTMF) systems using Goertzel algorithm implementation for tone detection. The MATLAB code includes tone generation using sin() function, frequency detection algorithms, and complete dialing system simulation with error rate analysis. Through these comprehensive experiments, students gain thorough understanding of digital signal processing fundamentals and practical implementation skills using MATLAB for analysis, design, and real-world application development.