Signals, Systems, and 5G Network Fundamentals

Signal Transformation for Continuous-Time Signals

Q1 (a) — Explain the signal transformation needed for transforming the independent variable for continuous-time signals.

Signal transformation changes the independent variable (usually time) to modify or analyze signals. Common transformations include:

  • Time shifting: Shifts the signal by a time constant t₀.
  • Time scaling: Compresses the signal (if a > 1) or expands it (if a < 1).
  • Time reversal: Flips the signal around the vertical axis.

These

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Essential Data Structures and Algorithms Reference: DSA Core Concepts

Lesson 2: Object-Oriented Programming and Linked Lists

OOP Fundamentals

  • Class: The blueprint for creating objects. Object: An instance of a class.
  • Attribute: A variable stored within an object. Method: A function defined within a class.
  • The self keyword refers to the object instance. __init__ is the constructor method.

OOP Example (Python)

class Car:
    def __init__(self, make, model, year):
        self.make = make; self.model = model; self.year = year
    def info(self):
        return f"{self.year}
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Fundamental C Algorithms: Search, Sort, Recursion, and Optimization

Fundamental C Algorithms: Search, Sort, and Optimization

This document presents implementations of several core algorithms in C, including searching, sorting, recursion, and optimization techniques like the Traveling Salesman Problem (TSP) and the Fractional Knapsack problem.

1. Linear Search Algorithm

Linear search is a straightforward method for finding an element within a list. It sequentially checks each element until a match is found or the entire list has been traversed.

C Code for Linear Search

#

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Understanding Recurrent Neural Networks and Their Applications

🧠 Recurrent Neural Network (RNN)
A neural network for sequential data (time series, speech, text).
It has memory of past inputs to affect current output.

Simple: “RNN past data yaad rakh kar next output predict karta hai.”

x1 → x2 → x3 → ... ↓ ↓ ↓ h1 → h2 → h3 → ... ↓ ↓ ↓ y1 y2 y3

Stepwise:
1️⃣ Input – Sequential data (text/audio)
2️⃣ Hidden Layer – Current input + previous hidden state
  Eq: hₜ = f(Wxₜ + Uhₜ₋₁ + b)
3️⃣

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Cloud Computing and Virtualization Fundamentals

Virtualization: Core Concepts and Benefits

Defining Virtualization

Virtualization is the creation of a virtual rather than actual version of something, such as hardware, an operating system, a storage device, or a network device. This process includes splitting a single physical computer into multiple virtual computers (Virtual Machines), each with its own software-based resources: CPU, RAM, hard disk, and Network Interface Card (NIC).

Virtual Machine (VM) Key Features

  • Isolation: The VM’s operating
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Compiler Design Fundamentals: Phases, Parsing, and Optimization Techniques

Phases of a Compiler Design Process

A compiler converts source code into machine code. The main phases are:

  • Lexical Analysis: Breaks code into tokens and removes spaces/comments.
  • Syntax Analysis: Checks the grammar structure of tokens.
  • Semantic Analysis: Checks meaning, types, and logical correctness.
  • Intermediate Code Generation: Creates machine-independent middle code.
  • Optimization: Improves code efficiency.
  • Code Generation: Converts intermediate code into machine code.
  • Symbol Table & Error Handling:
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