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 …

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

Demos for some basic DSP concepts

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

Digital Communication Techniques with MATLAB(Simulation)

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.

Digital Communication Techniques with Code Composer Studio(Simulation)

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.

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.

Python Codes for Digital Communications Course

play .wav files on raspberry pi