Fundamental continuous and discrete-time signals and their implementations using Matrix laboratory. Concepts include CTS, DTS, Amplitude modulation, Amplitude demodulation, Double sideband suppressed carrier (DSB-SC), single-sideband suppressed carrier (SSB-SC), PAM (Pulse Amplitude Modulation), PWM (Pulse Width Modulation), PPM (Pulse Position …

• UpdatedMar 22, 2022
• Python

A Python/MATLAB project which implements pulse-code modulation (PCM) and delta modulation (DM).

• UpdatedAug 8, 2022
• Jupyter Notebook

Demos for some basic DSP concepts

• UpdatedJul 18, 2021
• MATLAB

• UpdatedSep 18, 2023
• MATLAB

A project focused on sampling, pulse code modulation (PCM), and adaptive differential pulse code modulation (ADPCM) techniques using MATLAB. The implementation includes signal conversion and bit rate analysis.

• UpdatedAug 18, 2024

Digital Communication Techniques with MATLAB(Simulation)

• UpdatedDec 14, 2017
• MATLAB

Encosing a sine wave into PCm and then decoding it using Sinc interpolation

• UpdatedOct 10, 2017
• MATLAB

Digital Communication Techniques with Code Composer Studio(Simulation)

• UpdatedDec 14, 2017
• C

A PCM-Based Vocoder/Decoder, a voice codec software based on PCM of voice signals to send over data network, whose quantizer provides both mid-rise and mid-tread quantization techniques, and an encoder with both Manchester and AMI signaling, providing the concept of AWGN channel, in addition to regenerative repeaters.

• UpdatedJul 2, 2023
• MATLAB

play .wav files on raspberry pi

• UpdatedJul 19, 2020

Python Codes for Digital Communications Course

• UpdatedDec 7, 2020
• Jupyter Notebook

MATLAB PCM System Simulator demonstrating digital signal processing fundamentals. Features sampling, quantization (uniform/μ-law), multiple encoding schemes, and signal reconstruction. Includes interactive parameter selection, visualization tools, and frequency analysis. Written for a communications course.

• UpdatedDec 10, 2024
• MATLAB