OMACS Sandbox for Current Digital Age

Explore wireless communication concepts through 12 experiments, Starting from understanding AWGN and Fading channel generation, its impact on Transmitted symbols, BER analysis, path loss, Doppler effects, OFDM, to channel capacity in SISO, MISO, SIMO, &MIMO systems. Gain practical insights into by visualizing and algorithm design using python programming.

Explore digital signal processing concepts through 15 experiments. Start from generating fundamental signals such as unit impulse, step, and ramp, to analyzing convolution techniques, DTFT, and FFT. Delve into the impact of zero padding, circular and linear convolution methods, and frequency response verification of sinusoidal signals. Gain practical insights into power spectrum visualization, windowing techniques, FIR and IIR filter design, and advanced concepts like decimation and interpolation. Enhance your understanding through hands-on algorithm design and visualization using Python programming.

Explore the fundamentals of Artificial Intelligence (AI) and Machine Learning (ML) through core concepts, algorithms. Understand the differences between AI, ML, and Deep Learning while diving into key topics such as supervised and unsupervised learning, classification, regression, clustering. Learn about model training, evaluation, and optimization techniques. Gain hands-on experience by implementing AI/ML algorithms using Python, enabling practical insights into data-driven decision-making and intelligent systems.

Explore fundamental signal processing concepts through 18 experiments, starting from generating continuous and discrete time signals, performing mathematical operations, and analyzing their properties. Understand signal decomposition, sampling effects, convolution, and spectral representations through Fourier and Laplace transforms. Delve into system analysis using pole-zero representation, Z-Transform, DTFT, and power-energy computations. Gain practical insights by visualizing and designing algorithms using Python programming.