Dec 16, 2015 · Exercise 2.1: Basic digital signals (a) Write a MATLAB program to generate and display (using the stem function) the signals defined in Table 1. The MATLAB code of the first signal (dirac) is given in the report template as an example. (b) Write a MATLAB function [x, t] = sin_NU(f0, fs, T) to generate a sine signal. The output parameters x

Feb 14, 2021 · This collection contains the solutions of "Introduction to Digital Signal Processing: A Computer Laboratory Textbook" by M.J.T. Smith and R.M. Mersereau. All laboratory exercises of the following chapters are graphically solved in MatLab: Ilias Konsoulas (2025).

Digital signal processing (DSP) is the process of analyzing and modifying a signal to optimize or improve its efficiency or performance. It involves applying various mathematical and computational algorithms to analog and digital signals to produce a signal that's of higher quality than the original signal.

PROGRAM OUTCOMES (POs) Engineering Graduates will be able to: 1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems. 2. Problem analysis: Identify, formulate, review research literature, and analyze

A collection of MATLAB files and projects exploring key concepts in Digital Signal Processing (DSP), with a focus on audio processing, data compression, and image analysis. These files are based on lab sessions from 'Signal Processing First'.

Dec 16, 2015 · Write a MALTLAB program to (a) Convert a RGB image1 into a grayscale image using the luminance transformation; (b) Threshold a grayscale image2 at its mean gray level value;

Practical Guide to the Digital Signal Processing with multiple solved projects and downlodable source codes

Digital Signal Processing Using Matlab 8 (Discrete Fourier Transform 3) properties of DTFT, linearity, modulation (freq-shift), time-shift, conjugation. Write DFT from scratch. compare our own DFT and matlab’s FFT.

Digital Signal Processing Lab- Matlab Codes for functions such as DFT, IDFT, Impulse, Sampling Theorem, Autocorrelation, Cross Correlation, Analog and IIR Butterworth Filter, Analog and IIR Chebyshev Filter, Linear and Circular Convolution.

We begin with the concepts of signals in discrete time. A number of important types of signals and their operations are introduced. The emphasis in this chapter is on the representations and implementation of signals using MATLAB. Signals are broadly classified into …