Skip to main content

Posts

Search

Search Search Any Topic from Any Website Search
Recent posts

Important Types of Computer Memory - ROM, RAM, Cache Memory, Register, etc.

Important Types of Computer Memory Besides cache memory and RAM , computers use several other important types of memory. Here are the most common ones: 1. ROM (Read-Only Memory) Stores permanent instructions needed to start the computer. Data remains even when power is off. Used for firmware like the BIOS. Examples of ROM types: PROM (Programmable ROM) EPROM (Erasable PROM) EEPROM (Electrically Erasable PROM) 2. Registers The fastest memory in a computer . Located inside the CPU . Stores very small pieces of data temporarily while the CPU processes instructions. 3. Virtual Memory Uses part of the hard drive or SSD to act like extra RAM. Helps when the system runs out of RAM. Slower than real RAM. 4. Secondary Memory (Storage) Used for long-term storage . Examples: Hard Disk Drive (HDD) Solid State Drive (SSD) USB Flash Drive Memory Cards 5. Flash Memory Non-volatile memory (data stays without powe...

Cache Memory vs RAM

Why Cache Memory Is Faster Closer to the CPU Cache memory is built inside or very close to the CPU, while RAM sits on the motherboard. The shorter distance means much lower latency. Faster Technology Cache usually uses SRAM (Static RAM) , which is faster but more expensive. Regular RAM (like DDR4 or DDR5) uses DRAM (Dynamic RAM) , which is slower but cheaper and allows larger capacity. Smaller Size Cache is very small (KB–MB) but optimized for speed. RAM is much larger (GB) but slower. Speed Comparison Memory Type Approx Speed Location Cache (L1/L2/L3) Fastest (nanoseconds) Inside CPU RAM Slower than cache Motherboard Storage (SSD/HDD) Much slower Storage device Simple Analogy Cache → Notes on your desk (instant access) RAM → Books on a nearby shelf Storage → Books in another room The CPU checks cache first , then RAM if the data isn’t found. Summary: Cache memory is significantly faster than RAM...

Superheterodyne Receiver Online Simulator

Superheterodyne Receiver Simulator Simulation Controls Message Frequency (Hz): Carrier Frequency (Hz): Intermediate Frequency (Hz): Sampling Frequency (Hz): Simulation Duration (s): Run Simulation Signal Plots Numerical Values (first 10 samples) Superheterodyne Receiver Workflow The superheterodyne receiver converts a received RF signal to an intermediate frequency (IF) to simplify filtering and amplification, and finally recovers the original message signal. Steps: Input Message Signal: A low-frequency signal m(t) (e.g., sine wave). RF Modulation (AM): The message modulates the carrier with amplitude modulation: RF(t) = [1 + K_a * m(t)] * cos(2Ï€ f_c t) Mixing with Local Oscillator (LO): The RF signal is multiplied by a local oscillator LO(t) = cos(2Ï€ f_LO t) to produce: IF(t) = RF(t) * LO(t) Intermediate Frequency Filtering: A low-pass filter extracts t...

MATLAB Code for Superheterodyne Receiver

  MATLAB Code % Superheterodyne Receiver Simulator in MATLAB % Parameters fm = 5; % Message frequency (Hz) fc = 50; % Carrier frequency (Hz) fIF = 100; % Intermediate frequency (Hz) Fs = 1000; % Sampling frequency (Hz) T = 1; % Simulation duration (seconds) Ka = 0.8; % AM modulation index (0 < Ka <= 1) % Time vector t = (0:1/Fs:T-1/Fs)'; % Local Oscillator frequency (high-side injection) fLO = fc + fIF; % Original message signal m(t) message = sin(2*pi*fm*t); % AM RF signal: RF(t) = (1 + Ka*m(t)) * cos(2*pi*fc*t) rf = (1 + Ka*message) .* cos(2*pi*fc*t); % Local Oscillator signal lo = cos(2*pi*fLO*t); % Mixed IF signal: RF * LO ifSignal = rf .* lo; % Low-pass filter to extract IF component around fm*2 Hz filtered = lowPass(ifSignal, fm*2, Fs); % Envelope detection: % 1. Rectify rectified = abs(filtered); % 2. Low-pass filter to smooth envelope (cutoff slightly above fm) recovered = lowPass(rectified, fm*2, Fs); % Plotting results figure; subpl...

How to Mount Google Drive in Google Colab

How to Mount Google Drive in Google Colab Google Colab provides temporary storage during a session. Any files stored in the /content directory will be deleted when the runtime disconnects. To store datasets, trained models, and results permanently, it is recommended to mount your Google Drive in Colab. Mounting Google Drive allows your notebook to access files directly from your Drive and save outputs there so they remain available even after the Colab session ends. Step 1: Import the Drive Module First import the Google Colab drive module. from google.colab import drive Step 2: Mount Google Drive Run the following command to mount your Google Drive. from google.colab import drive drive.mount('/content/drive') After running the command: A link will appear in the output. Click the link and log in to your Google account. Copy the authentication code provided. Paste the code back into the notebook. Or, a Google authentication page will a...

FSD in Ammeter | Full Scale Deflection Explained with Examples

FSD in an Ammeter or Electric Circuit  FSD in an ammeter or electrical measuring instrument stands for Full Scale Deflection . What Full Scale Deflection (FSD) Means Full Scale Deflection is the maximum current that causes the pointer (needle) of an analog meter to move to the end of the scale . In simple words: When the meter needle goes all the way to the maximum reading , The current flowing through the meter is the FSD current . Example Suppose an ammeter has: FSD current = 5 mA This means: When 5 mA flows through the meter movement , The needle will reach the maximum mark on the scale . Why FSD is Important FSD helps in: Designing ammeters and voltmeters Calculating shunt resistors (to measure larger currents) Determining the range of the instrument Example in Circuit Design If a meter movement has: FSD current = 1 mA To make it measure 10 A , engineers add a shunt resistor so that: Only 1 mA goes thr...

Using python -m http.server to Start a Local Web Server

Using python -m http.server to Start a Local Web Server python -m http.server is a simple command used to start a local web server using Python. It allows you to serve files such as HTML, CSS, JavaScript, images, and other resources from a folder so they can be accessed through a web browser. Basic Command python -m http.server This command: Starts a local HTTP server Serves files from the current directory Uses port 8000 by default After running the command, open a browser and go to: http://localhost:8000 or http://127.0.0.1:8000 You will see a directory listing of the folder , and you can open your HTML files directly in the browser. Example Workflow Suppose you have the following project folder: myproject/ index.html script.js style.css Open a terminal inside that folder and run: python -m http.server Then visit: http://localhost:8000/index.html Your page will load just like a normal website. Why Deve...

How High-Pass and Low-Pass Filters Attenuate Signals – Real DSP Examples

Hands-On Example: How Signals Are Attenuated To understand attenuation clearly, let us test simple filters using real numeric signals. We will use two filters: Low-pass filter: h = [1/2, 1/2] High-pass filter: h = [1, -1] We will apply these filters to two different signals: A slowly varying signal (low frequency) A rapidly changing signal (high frequency) Example 1: Slowly Varying Signal (Low Frequency) Suppose the input signal is: x[n] = [10, 11, 12, 13, 14] This signal changes slowly from one sample to the next. Low-Pass Filter Impulse response: h = [1/2, 1/2] Output equation: y[n] = 1/2 x[n] + 1/2 x[n−1] n x[n] Calculation y[n] 1 11 0.5(11) + 0.5(10) 10.5 2 12 0.5(12) + 0.5(11) 11.5 3 13 0.5(13) + 0.5(12) 12.5 4 14 0.5(14) + 0.5(13) 13.5 The output signal remains almost the same as the input signal. This means low-frequency signals pass through the low-pass filter. High-Pass ...

People are good at skipping over material they already know!

View Related Topics to







Contact Us

Name

Email *

Message *