signal-ICT-AhujaSlock-92400133041 1.0.0

A Python package for signal generation and operations

signal_ICT_AhujaSlock_92400133041

A Python package for generating and operating on signals, demonstrating fundamental concepts of Signals and Systems.

Installation

From Source

1. Clone the repository:

   git clone https://github.com/yourusername/signal_ICT_AhujaSlock_92400133041.git
   cd signal_ICT_AhujaSlock_92400133041
   

2. Install the package:

   pip install .
   

From Wheel

1. Download the .whl file from the dist/ folder.
2. Install using pip:

   pip install signal_ICT_AhujaSlock_92400133041-1.0.0-py3-none-any.whl
   

From TestPyPI

pip install -i https://test.pypi.org/simple/ signal_ICT_AhujaSlock_92400133041

Usage

Importing the Package

from signal_ICT_AhujaSlock_92400133041 import unit_step, unit_impulse, ramp_signal
from signal_ICT_AhujaSlock_92400133041 import sine_wave, cosine_wave, exponential_signal
from signal_ICT_AhujaSlock_92400133041 import time_shift, time_scale, signal_addition, signal_multiplication

Example Usage

import numpy as np
import matplotlib.pyplot as plt

# Generate unit step signal
step = unit_step(20)

# Generate sine wave
t = np.linspace(0, 1, 500)
sine = sine_wave(A=2, f=5, phi=0, t=t)

# Time shift
shifted = time_shift(sine, 5)

# Addition
ramp = ramp_signal(20)
added = signal_addition(step, ramp)

# Multiplication
cosine = cosine_wave(A=2, f=5, phi=0, t=t)
multiplied = signal_multiplication(sine, cosine)

Modules

unitary_signals.py

• unit_step(n): Generates a unit step signal of length n.
• unit_impulse(n): Generates a unit impulse signal of length n.
• ramp_signal(n): Generates a ramp signal of length n.

trigonometric_signals.py

• sine_wave(A, f, phi, t): Generates a sine wave with amplitude A, frequency f, phase phi, over time vector t.
• cosine_wave(A, f, phi, t): Generates a cosine wave.
• exponential_signal(A, a, t): Generates an exponential signal.

operations.py

• time_shift(signal, k): Shifts the signal by k units.
• time_scale(signal, k): Scales the time axis by factor k.
• signal_addition(signal1, signal2): Adds two signals.
• signal_multiplication(signal1, signal2): Multiplies two signals point-wise.

Dependencies

• numpy
• matplotlib

License

MIT License