Embedded Files
Prerequisites:
List of Experiments
Introduction to MATLAB and Generation of Basic Signals
Linear convolution & Circular Convolution
Matrix Representation of Linear Convolution
Impulse and Step Responses of Discrete-Time Systems
Filtering a Noisy Sine Wave using a Moving Average Filter
Filtering of Long Sequences using Block Convolution
Discrete-Time Fourier Transform (DTFT) of signals and frequency response of systems
Discrete Fourier Transform (DFT) of a sequence
Matrix Representation and Computation of the DFT and IDFT
Study and Verification of the Relation Between DTFT and DFT Using MATLAB
Verification of the Properties of Discrete Fourier Transform (DFT)
Verification of Parseval’s Theorem for Complex Sequences
Design and Realization of FIR Low-Pass Filter Using Window Method (Rectangular & Hamming Windows) in MATLAB
IIR Filter Design Using Impulse Invariant and Bilinear Transformation
Video leactures
Each experiments step by step explanation in Malayalam
Impulse & Step Responses of Discrete-Time Systems in MATLAB | DSP Lab - Exp 4 | KTU
Filtering a Noisy Sine Wave using a Moving Average Filter in MATLAB | DSP Lab | Exp No 5 | KTU
In this video, we cover the complete simulation and design of an M-point Moving Average (MA) filter to remove high-frequency noise from a sinusoidal signal using MATLAB. This tutorial is specially prepared for KTU Engineering students (ECE and allied branches) following the DSP Lab syllabus.
DSP Lab Manual: 👉 Download
MATLAB Live script 👉Download
Filtering of Long Sequences Using Block Convolution in MATLAB | DSP Lab | Exp No 6 | KTU
DTFT of Signals & Frequency Response of Systems | MATLAB | DSP Lab | Exp No 7 | KTU
In this 7th DSP Lab experiment, we study the Discrete-Time Fourier Transform (DTFT) of signals and the frequency response of systems using MATLAB.This experiment helps you understand how a discrete-time signal can be represented in the frequency domain and how the frequency response of a system can be analyzed using MATLAB. The concepts and MATLAB implementation are explained in Simple Malayalam, making it easier for KTU Engineering students to follow the experiment step by step.
DSP Lab Manual: 👉 Download
MATLAB Live script 👉Download
DFT of a Sequence | Matrix Representation and DFT & IDFT | MATLAB | DSP Lab | Exp No 8 & 9 | KTU
In this video, we combine Experiments 8 and 9 of the KTU DSP Lab, since both experiments deal with the Discrete Fourier Transform (DFT) and are closely related. In Experiment 8, we calculate the Discrete Fourier Transform (DFT) of a sequence. In Experiment 9, we study the Matrix Representation and Computation of the DFT and IDFT. The concepts and MATLAB implementation are explained in simple Malayalam, with a step-by-step approach suitable for KTU Engineering students.
DSP Lab Manual:
Exp No 8 👉 Download
Exp No 9 👉 Download
MATLAB Live script 👉Download
Relationship between DTFT & DFT | MATLAB | DSP Lab | Exp No 10 | KTU
In this 10th DSP Lab experiment, we study and verify the important relationship between the Discrete-Time Fourier Transform (DTFT) and the Discrete Fourier Transform (DFT) using MATLAB. This experiment helps you understand how the DFT can be obtained from the DTFT by sampling the DTFT at specific frequency points. The concept is demonstrated practically using MATLAB through signal generation, computation, and graphical comparison.
DSP Lab Manual 👉 Download
MATLAB Live script 👉Download
Verification of the Properties of DFT | Parseval's Theorem | MATLAB | DSP Lab | Exp 11 & 12 | KTU
In this video, we cover Experiments 11 and 12 of the KTU Digital Signal Processing Lab. These two experiments focus on important properties of the Discrete Fourier Transform (DFT) and the verification of Parseval's theorem using MATLAB. The experiments are explained together in simple Malayalam, with step-by-step MATLAB implementation, making it easier for students to understand the concepts, verify the results, and prepare for their DSP Lab examination and viva.
DSP Lab Manual 👉 Download
MATLAB Live script 👉Download
FIR LP Filter Design Using Window Method | Rectangular & Hamming | MATLAB | DSP Lab | Exp 13 | KTU
LAB Manual
Digital Signal Processing Lab Manual IMPLearn.pdfTMS320 C6748 DSP kit - lectures
Fundamental steps for using TMS320 C6748 DSP kit and getting output
How to set up TMS320 C6748 - DSP kit | Complete setup procedure | Step by step | Part 1
Setting up - TMS320 C6748
CCS Software Initial setup, CCS Software Working Procedure
Project Creating Method, Build and Executing Method
Program Implementation and Input / Output View Procedure
How to implement Linear convolution in TMS320 C6748 -DSP kit | Step by step procedure | Part 2
Linear convolution in TMS320 C6748 DSP kit
Download Project here - https://bit.ly/3VCd2o3
TMS 320 C6748- Manual - http://bit.ly/3FsJtP5
Common files - http://bit.ly/3FtFgeZ
How to implement Circular convolution in TMS320 C6748 - DSP kit | Step by step procedure | Part 3
Circular convolution in TMS320 C6748 DSP kit
Download Project here - http://bit.ly/3FxCtBC
TMS 320 C6748- Manual - http://bit.ly/3FsJtP5
Common files - http://bit.ly/3FtFgeZ
Sine wave generation in TMS320 C6748 - DSP kit | Complete step by step procedure | Part 4
How to generate sine wave in TMS320 C6748 DSP kit
Download Project here - http://bit.ly/3Hs3JTc
TMS 320 C6748- Manual - http://bit.ly/3FsJtP5
Common files - http://bit.ly/3FtFgeZ
Triangular wave generation in TMS320 C6748 - DSP kit | Complete step by step procedure | Part 5
How to generate triangular wave in TMS320 C6748 DSP kit
Download Project here - http://bit.ly/3h6K94p
TMS 320 C6748- Manual - http://bit.ly/3FsJtP5
Common files - http://bit.ly/3FtFgeZ
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