MATLAB Simulink model full video with telugu explanation

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SIMULINK:MATLAB Simulink is a graphical programming environment integrated with MATLAB, used for modeling, simulating, and analyzing multidomain dynamic systems. It enables system-level design and simulation with customizable block libraries and solvers, allowing users to build models visually using block diagrams. Simulink supports automatic code generation and continuous test and verification of embedded systems, making it a powerful tool for designing and testing complex systems before hardware implementation.

Key features include a graphical editor for designing systems, a range of prebuilt blocks for modeling algorithms and physical systems, solvers for continuous, discrete, and mixed systems, and integration with MATLAB for further analysis and automation of simulations. Simulink also supports reusable custom blocks, modular design through subsystems, and parallel simulations to speed up analysis. It is widely used in engineering fields like control systems, signal processing, and embedded system design, and supports hardware like Arduino and Raspberry Pi for deployment and testing.

Users can run simulations interactively, analyze the results graphically, debug by setting breakpoints, and optimize model performance. Simulink facilitates Agile development practices by shortening development cycles through simulation, automated testing, and code generation. It is also useful in research and industry for visualizing system behavior, testing algorithms, and generating production code efficiently from a model-based design approach.​
Steps to design FIR LOW AND HIGH PASS FILTERS:
Steps: FIR high-pass in Simulink
Add a second filter design block

Drag another Digital Filter Design block (or Highpass FIR Filter Design block) into the same model.​

Configure as FIR high-pass

Double-click and set:

Response Type = Highpass.​

Filter type / Design Method = FIR (Equiripple or window).​

Filter Order = Minimum order or specify N.​

Frequency units = Normalized (0–1) or Hz.​

Set stopband and passband edges, e.g., wstop = 0.2, wpass = 0.55 in normalized units (complementary to low-pass).​

Set ripple and attenuation specs.​

Choose implementation structure

Again select Direct-Form FIR Transposed if using the convert-structure option.​

Connect and test

Use the same input source.

Connect source → high-pass filter → another Scope or Spectrum Analyzer.​

Run the model and confirm that high frequencies pass and low frequencies are attenuated.

Typical lab-style settings (example)
Low-pass FIR:

Type: FIR, Equiripple, Minimum order.

Normalized
w
p
a
s
s
=
0.2
w
pass
=0.2,
w
s
t
o
p
=
0.55
w
stop
=0.55.​

High-pass FIR:

Type: FIR, Equiripple, Minimum order.

Normalized
w
s
t
o
p
=
0.2
w
stop
=0.2,
w
p
a
s
s
=
0.55
w
pass
=0.55.​