Digital Signal Processing Essentials From Signals to Filter

signals classifications, system classifications, DTFT, Discrete Fourier Transform, FFT, Convolutions & filter designing
What you'll learn
Represent signals mathematically in discrete-time and sketch its frequency response
Compute DFT using Radix-2 FFT algorithms.
Design different types of digital filters in various domains.
Design the realizations of circuits
Requirements
signals & systems
Description
Signal processing is a fundamental area in electronics and communication engineering, focusing on the analysis and manipulation of signals. Signals can be broadly classified into continuous-time and discrete-time signals, as well as periodic, aperiodic, deterministic, and random types. Similarly, systems are categorized based on their properties such as linear or nonlinear, time-invariant or time-variant, causal or non-causal, and stable or unstable. Understanding these classifications is essential for predicting system behavior.In the frequency domain, the Discrete-Time Fourier Transform (DTFT) provides a representation of discrete signals, showing how energy is distributed across frequencies. Its computational counterpart, the Discrete Fourier Transform (DFT), is widely used in digital applications, although it can be computationally intensive for large datasets. To address this, the Fast Fourier Transform (FFT) was developed, offering a highly efficient way to compute the DFT, making real-time applications like communications, audio, and image processing possible.Another important concept is convolution, which describes how an input signal interacts with a system's impulse response to produce an output. Convolution is closely linked with filter design, where digital filters (FIR or IIR) are created to modify signals-whether for noise reduction, signal enhancement, or extracting useful information. Together, these concepts form the backbone of digital signal processing.
Who this course is for
This course is designed for engineering students, aspiring signal processing professionals, and educators who want to build a strong foundation in Digital Signal Processing and its practical applications.
beginners to signal processing learners
Homepage