#What is a 8 bit microcontroller
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addohaislam2000 · 5 months ago
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What is an 8 bit Microcontroller, Programming microcontroller, lcd microcontrollers
PIC16F Series 7 kB Flash 256 B RAM 18 I/O SMT 8-Bit Microcontroller - SSOP-20
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dgls2nett · 6 months ago
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https://www.futureelectronics.com/p/semiconductors--microcontrollers--8-bit/pic18f4520-i-pt-microchip-3154588
low power 8 bit microcontrollers, lcd microcontrollers, Microcontroller software
PIC18F Series 32 KB Flash 1.5 kB RAM 40 MHz 8-Bit Microcontroller - TQFP-44
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dvid2leds · 6 months ago
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https://www.futureelectronics.com/p/semiconductors--microcontrollers--8-bit/pic12f629t-i-sn-microchip-8748717
What is a microcontroller, programming microcontroller, lcd microcontrollers
PIC12F Series 1.75 kB Flash 64 B SRAM SMT 8-Bit Microcontroller - SOIC-8
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shrm2lph · 10 months ago
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https://www.futureelectronics.com/p/semiconductors--microcontrollers--8-bit/atmega128l-8au-microchip-2038197
lcd microcontrollers, Low power microcontroller, microcontroller software
ATmega Series 128 KB Flash 4 KB SRAM 8 MHz 8-Bit Microcontroller - TQFP-64
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ryy2gton · 1 year ago
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https://www.futureelectronics.com/p/semiconductors--microcontrollers--8-bit/pic18f6520-i-pt-microchip-7337520
8-bit microprocessor, 8 bit embedded microcontroller, Low power microcontroller
PIC18F Series 32 kB Flash 2 kB RAM 40 MHz 8-Bit Microcontroller - TQFP-64
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rndy2prkr · 1 year ago
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https://www.futureelectronics.com/p/semiconductors--microcontrollers--8-bit/pic16c73b-04i-so-microchip-9673831
lcd microcontrollers, Microcontrollers software, Wireless microcontroller
PIC16 Series 192 B RAM 4 K x 14 Bit EPROM 8-Bit CMOS Microcontroller - SPDIP-28
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egns2fern · 1 year ago
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https://www.futureelectronics.com/p/semiconductors--microcontrollers--8-bit/pic16c73b-20i-sp-microchip-1279256
Programmable microcontrollers, embedded microcontroller, Pic microcontrollers
PIC16 Series 192 B RAM 4 K x 14 Bit EPROM 8-Bit CMOS Microcontroller - SPDIP-28
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rdlof2llins · 1 year ago
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https://www.futureelectronics.com/p/semiconductors--microcontrollers--8-bit/pic16f872-i-so-microchip-8119406
Low power microcontroller, embedded microcontroller, embedded microcontroller
PIC16F Series 3.5 kB Flash 128 B RAM 20 MHz 8-Bit Microcontroller - SOIC-28
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nicla2llard · 2 years ago
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Pic microcontroller, Programmable lcd microcontrollers, embedded microcontroller
PIC16F Series 1.75 kB Flash 224 B RAM 20 MHz 8-Bit Microcontroller - SOIC-18
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synths-and-sensibility · 8 months ago
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Feeling kind of inspired by the baby 8 sequencer and it's simplicity, but the CD4017 seems a bit minimal (even for me). I was thinking of just doing a microcontroller, but now I'm taking a look at the CD4510 and it looks like it supports exactly what I'm looking for. Slight downside that I'll need a demultiplexer, but that's fine.
The problem is now I'm in a scope creep spiral where I try to see what sort of features I can cram into it (random jumps, cv controlled step offset, repeats, step skips)
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stevebattle · 2 years ago
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Rug Warrior II (1993) by Joseph Jones (iRobot) and Anita Flynn (MIT AI Laboratory), MA. “The tank” has the same electronics and sensor suite as the first Rug Warrior, but its mechanical base is built from a LEGO tracked locomotion system. The control board on top contains a Motorola MC68HC11A0 8-bit microcontroller. “In open-loop control, there is no feedback from the motors, telling the robot’s program how fast the wheels are turning or how far the robot has gone. Rather, the motors are just given different commanded voltages. But depending on terrain, surface obstacles, slippage in wheel contacts, or load on the robot, the commanded voltages do not necessarilly imply particular speeds. To implement a true velocity- or position-control algorithm, the robot needs sensors on the wheels. … Such feedback enables what are known as closed-loop control algorithms. … The simple control loop we will use on Rug Warrior [is] called a P-I controller, for proportional-integral controller.” – Mobile Robots: Inspiration to Implementation, by Joseph Jones and Anita Flynn.
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electronic-component · 1 year ago
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Arduino Due vs. Mega: A Comprehensive Comparison
What is Arduino Due and Mega?
The Arduino platform has revolutionized the world of DIY electronics, providing hobbyists and professionals alike with versatile and powerful microcontroller boards. Among the myriad of options, the Arduino Due and Arduino Mega stand out for their advanced features and robust performance. The Arduino Due, introduced in 2012, is the first Arduino board based on a 32-bit ARM core microcontroller, the Atmel SAM3X8E. In contrast, the Arduino Mega, built around the 8-bit ATmega2560 microcontroller, is known for its abundant I/O pins and memory. Understanding the differences between these two boards can help in selecting the right one for specific projects, enhancing both functionality and efficiency.
Processing Power and Performance
The processing capabilities of the Arduino Due and Mega are distinctly different, primarily due to their core microcontrollers. The Arduino Due, with its 32-bit ARM Cortex-M3 processor running at 84 MHz, offers significantly higher processing power compared to the Arduino Mega's 8-bit ATmega2560, which operates at 16 MHz. This difference in architecture and clock speed means that the Due can handle more complex calculations and tasks faster and more efficiently than the Mega. For projects requiring high computational power, such as real-time data processing or handling multiple sensors simultaneously, the Due is the superior choice. However, for simpler tasks, the Mega's processing power may suffice.
Memory and Storage Capabilities
Memory is another critical aspect where the Arduino Due and Mega diverge. The Arduino Due is equipped with 512 KB of flash memory for code storage and 96 KB of SRAM for data. On the other hand, the Arduino Mega has 256 KB of flash memory and 8 KB of SRAM. Additionally, the Due features a Direct Memory Access (DMA) controller, which allows for efficient memory operations, freeing up the CPU to handle other tasks. These memory enhancements make the Due more suitable for applications requiring large codebases and significant data handling, such as advanced robotics or sophisticated control systems. The Mega, with its more modest memory, is ideal for less demanding applications.
Input/Output Capabilities and Expansion
Both the Arduino Due and Mega are renowned for their extensive input/output (I/O) capabilities, yet they cater to different needs. The Mega boasts a whopping 54 digital I/O pins, 16 analog inputs, and 4 UARTs, making it ideal for projects that require multiple sensors, actuators, or communication interfaces. The Due, while offering fewer digital I/O pins at 54, includes 12 analog inputs and 4 UARTs, along with additional features like two DAC outputs for analog signal generation and enhanced PWM capabilities. These features provide the Due with superior analog output capabilities, making it suitable for applications like audio processing or advanced signal generation.
Power Consumption and Compatibility
Power consumption and compatibility are practical considerations when choosing between the Arduino Due and Mega. The Due operates at 3.3V logic levels, which makes it more power-efficient than the Mega, which uses 5V logic levels. This lower voltage operation is beneficial for battery-powered projects where energy efficiency is crucial. However, the 3.3V logic also means that the Due is not directly compatible with 5V components without level shifters. The Mega, with its 5V logic, offers broader compatibility with existing Arduino shields and components, making it a versatile choice for a wide range of projects. Understanding these power and compatibility nuances can help in making an informed decision based on the project's specific requirements.
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jaysnsahu · 10 days ago
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Global Pocket Lighters Market Analysis Report (2025–2031)
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The global Pocket Lighters market is expected to experience consistent growth between 2025 and 2031. This in-depth report offers expert insights into emerging trends, leading companies, regional performance, and future growth opportunities. Its a valuable resource for businesses, investors, and stakeholders seeking data-driven decisions.
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Hefeng Industry
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Strong focus on R&D and next-generation Pocket Lighters products
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Real-world examples from top players using cost-effective strategies
The report showcases top-performing companies in the Pocket Lighters industry, examining their strategic initiatives, innovations, and future roadmaps. This helps you understand the competitive landscape and plan ahead effectively.
Product Types Covered:
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Sales Channels Covered:
Direct Channel
Distribution Channel
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North America (United States, Canada, Mexico)
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Market size, share, and CAGR forecast to 2031
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Demand outlook for standard vs. premium products
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siliconsignalsblog · 1 month ago
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Getting Started with Audio Design in Embedded Systems
Adding audio capabilities to embedded systems can make a big difference in the user experience, whether you are creating home automation, wearable, or industrial devices. Even just simple sound prompts or alerts can improve user interaction considerably.
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This article takes you through the ways embedded devices process, store, and play back audio—without getting too involved in the subjective realm of "sound quality."
Audio Begins as Analog
In the real world, sound is analog. That is to say, any audio we wish to record and play back must first be converted from analog to digital—because embedded systems process digital data.
This conversion to digital involves two important parameters: sampling rate and bit depth.
Sampling rate is the number of times the sound signal is recorded per second. The Nyquist-Shannon Sampling Theorem states that your sampling rate needs to be a minimum of twice the highest frequency sound you'll be recording.
Bit depth is the degree of precision with which each of those sound samples is recorded—more bits = more detail, but also more memory consumption.
A real-world example: Telephone audio uses just 400–3400 Hz bandwidth, far lower than the full range of human hearing (20 Hz to 20 kHz), yet it’s good enough to understand speech and even recognize a person’s voice.
Choosing the Right Bit Depth
Bit depth specifies how much volume each audio sample can represent. For instance, an 8-bit sample can have 256 levels, and a 16-bit sample can have 65,536.
In embedded systems, ADCs (Analog-to-Digital Converters) accomplish this task. But the usable resolution in practice is usually a bit less than what's on the datasheet because of such imperfections as noise and signal distortion. A useful rule of thumb: deduct 2 bits from the advertised bit depth to arrive at a realistic expectation (e.g., use a 12-bit ADC as if it were really 10-bit).
Storing and Compressing Audio
Most embedded systems keep audio in PCM (Pulse Code Modulation) or WAV format. Both are straightforward and convenient but tend to use a lot of memory space. For example, CD-quality audio at 44.1 kHz with 16 bits of depth can occupy more than 700 KB for a single second of mono sound.
To conserve space, programmers usually:
Compact audio using MP3 (although this needs more processing power).
Pre-process the sound to restrict bandwidth and dynamic range through software such as Audacity.
Lower the sampling rate and bit depth to accommodate the hardware's capabilities better.
In the event of a limited processing power, external decoders can decode MP3 files in order to remove the workload from the primary processor.
Playing the Audio
Once the audio is ready, it has to be converted back to analog for playback. This is where DACs (Digital-to-Analog Converters) come in. PCM data goes directly to a DAC, while compressed formats need to be decoded first.
You’ll also need a low-pass filter after the DAC to remove high-frequency noise caused by sampling. If your system handles stereo output, you’ll need two DACs and filters.
Alternatively, many microcontrollers use I2S (Inter-IC Sound)—a digital audio protocol designed for efficient transmission of stereo sound using just three wires. I2S is flexible with sampling rates and bit depths, making it ideal for embedded applications.
Amplifying the Sound
Whether using DAC or I2S, the output signal is too weak to drive a speaker directly. That’s where audio amplifiers come in.
There are three main types:
Class-A: Great quality, but inefficient—rarely used in embedded systems.
Class-AB: More efficient, commonly used in chip form.
Class-D: Highly efficient, compact, and perfect for embedded devices.
Class-D amplifiers work by converting the signal to PWM (Pulse Width Modulation), then driving a transistor (like a MOSFET) on and off rapidly. This approach saves energy and reduces heat.
Just like with DACs, a low-pass filter is needed to clean up the output before it reaches the speaker.
Speaker Output
The sound is produced by converting the electrical signal into motion, and that motion is used to drive a coil that's suspended from a diaphragm. Depending on your application, you might require different kinds of speakers, such as woofers for low frequencies or tweeters for high frequencies. High-fidelity systems tend to use both for improved sound quality.
In Summary
Audio design in embedded systems involves a series of careful trade-offs—balancing storage, processing power, and playback quality. Whether you’re building simple voice alerts or adding rich audio playback, understanding how digital audio works from input to output is key to making smart design choices.
Ready to Add Audio to Your Embedded Product?
At Silicon Signals, we specialize in integrating high-performance audio solutions into embedded systems—whether it’s playback via I2S, class-D amplification, or optimizing audio storage for your platform.
🔊 Let’s build the future of sound, together. 📩 Reach out today at www.siliconsignals.io or connect with us directly to explore our custom audio design services.
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rapidise · 1 month ago
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The Evolution of Embedded Hardware: From Simple Circuits to Smart Devices
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Embedded systems are all around us in today's hyperconnected world, from the sophisticated electronics controlling your car's engine to the smart thermostat that regulates the temperature in your house. One of the most amazing changes in technology is the progression from simple circuits to the advanced smart devices of today. This evolution, which has been fuelled by necessity and creativity, has been an intriguing one that has taken place over many decades. Understanding this history is essential for developers and businesses traversing this terrain, particularly when thinking about an embedded hardware design service that could help them realise their next big idea.
The Pioneer Days: Early Embedded Systems
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The 1960s and 1970s marked the dawn of embedded computing, though it looked nothing like what we recognize today:
The Apollo Guidance Computer, which helped navigate astronauts to the moon, represented one of the first mission-critical embedded systems
Early embedded systems relied on discrete components rather than integrated circuits
These systems were enormous by today’s standards—filling entire cabinets
Programming was done through hard-wired logic or assembly language
Each system was custom-designed for a specific purpose with little flexibility
These primitive beginnings laid groundwork for what would become a technological revolution, yet the limitations were substantial. Memory was measured in kilobytes, processing power was minimal, and development required specialized expertise that few possessed.
The Microprocessor Revolution
Everything changed in the early 1970s with the introduction of the microprocessor:
Intel’s 4004, introduced in 1971, became the first commercially available microprocessor
For the first time, computing power could fit on a single chip
Development costs dropped dramatically, making embedded systems accessible to more industries
Early applications included calculators, cash registers, and industrial controllers
The 8-bit microcontroller era began, with chips like the Intel 8051 becoming industry standards
This miniaturization represented the first major leap toward modern embedded systems. Suddenly, intelligence could be added to previously “dumb” devices, creating new possibilities across industries from manufacturing to consumer electronics.
From Industrial to Consumer Applications
The 1980s and 1990s witnessed embedded systems transitioning from purely industrial uses to consumer products:
Video game consoles like the Nintendo Entertainment System introduced millions to embedded technology
Household appliances began incorporating microcontrollers for improved functionality
Automotive applications expanded rapidly, with engine control units becoming standard
Personal digital assistants (PDAs) showcased the potential for portable computing
Cell phones emerged as perhaps the most transformative embedded systems of the era
At this time, there started to appear specialized embedded hardware design service providers which assists businesses with intricate hardware designs. These services helped translate creative concepts into functioning products, allowing companies without internal capabilities to join the growing competition in the electronics industry.
The Networking Revolution and Embedded Connectivity
By the late 1990s and early 2000s, embedded systems gained a critical new capability—connectivity:
First-generation embedded networks often used proprietary protocols
Industry standards like CAN bus revolutionized automotive electronics
TCP/IP implementation in embedded devices paved the way for Internet connectivity
Wireless technologies like Bluetooth and later Wi-Fi liberated devices from physical connections
Remote monitoring and management became possible, changing service models forever
This networking capability transformed embedded systems from standalone devices to interconnected nodes, creating new possibilities for data collection and device management. Industries from healthcare to manufacturing began reimagining their processes around these newly connected devices.
The Rise of the Internet of Things (IoT)
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The 2010s saw embedded systems become truly ubiquitous through the Internet of Things:
Consumer IoT products like smart thermostats, lighting, and speakers entered millions of homes
Industrial IoT revolutionized manufacturing through predictive maintenance and asset tracking
Agriculture embraced precision farming techniques using embedded sensor networks
Healthcare innovations included remote patient monitoring and smart medical devices
Urban infrastructure began incorporating embedded systems for “smart city” initiatives
With this explosion in applications came increasing complexity. An embedded hardware design service became essential for many companies looking to enter the IoT market, providing expertise in not just hardware but the integration of sensors, connectivity, and power management that modern IoT devices require.
Read Also: The Role of Embedded Hardware in IoT Devices
The Miniaturization Miracle
Throughout this evolution, one trend has remained constant—the drive toward smaller, more efficient devices:
Component sizes shrank from through-hole to surface-mount to microscopic
Power consumption decreased dramatically, enabling battery-operated portable devices
Wearable technology emerged as components became small enough to integrate into clothing and accessories
Medical implants shrank to minimize invasiveness while increasing capability
Sensors became small and inexpensive enough to deploy in massive numbers
This miniaturization has opened new frontiers in what’s possible with embedded systems. Today’s embedded hardware design services often specialize in extreme miniaturization, developing sophisticated systems that fit into spaces previously thought impossible.
The Processing Power Explosion
Modern embedded systems bear little resemblance to their ancestors in processing capability:
32-bit and 64-bit processors have replaced 8-bit chips in many applications
Multi-core processors enable complex real-time processing
Specialized hardware accelerators handle tasks like AI inference and video processing
For specific applications, field-programmable gate arrays (FPGAs) offer hardware that can be reconfigured.
 System-on-Chip (SoC) designs combine peripherals, memory, and CPUs into one unit.
With this processing capability, embedded systems can now perform tasks like computer vision and natural language processing that were previously only possible with general-purpose computers, all while retaining the dependability and deterministic behaviour that embedded systems need.
The Future: AI at the Edge and Beyond
Looking ahead, embedded systems continue evolving at a breathtaking pace:
Edge AI is pushing intelligence to embedded devices rather than relying on cloud processing
New materials and manufacturing techniques are enabling flexible and biodegradable electronics
Energy harvesting is reducing or eliminating battery dependencies
Quantum computing principles may eventually transform embedded processing
Neuromorphic computing aims to make embedded systems think more like biological brains
These frontiers represent both challenge and opportunity. Companies seeking to navigate this complexity increasingly turn to specialized embedded hardware design services that can transform cutting-edge concepts into viable products.
The evolution of embedded hardware marks one of the most remarkable journeys of technology, progressing from circuits to devices that think for us and are a part of our lives. This journey continues to accelerate as we enter the following decades which promise even more astonishing innovations. For companies that want to take part in the ongoing revolution, collaborating with specialized embedded hardware design services is crucial for changing futuristic concepts into reality.
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addohaislam2000 · 3 months ago
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Microcontroller programming, what is a microcontroller, microcontroller software
PIC12F Series 1.75 kB Flash 64 B SRAM SMT 8-Bit Microcontroller - SOIC-8
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