When a design needs auxiliary voltage rails and the associated current loads are modest, capacitor pump voltage multipliers are often the simplest, cheapest, and most efficient way to make them...
Articles and news - 4
Efficient voltage doubler is made from generic CMOS inverters
Voltage inverter uses gate's output pins as inputs and its ground pin as output
When analog circuits mix with digital, the former are sometimes dissatisfied with the latter’s usual single supply rail. This creates a need for additional, often negative polarity, voltage sources that are commonly provided by capacitive charge pumps...
First GaN FET with 1 milliohms on-resistance announced by EPC
EPC introduces the 100 V, 1 mOhm EPC2361 GaN FET in compact 3 mm × 5 mm QFN package, offering higher power density for DC-DC conversion...
Logic Probe has a wide voltage range
The logic probe is powered from the device under test – it may be any binary logic, which can be powered in the range +2 V to +6 V...
∆Vbe differential thermometer needs no calibration
Differential temperature measurement is a handy way to quantify the performance of heatsinks, thermoelectric coolers, and thermal control in electronic assemblies. Figure illustrates an inexpensive design for a high-resolution differential thermometer utilizing the ∆VBE effect to make accurate measurements with ordinary uncalibrated transistors as precision temperature sensors...
Hotwire thermostat: Using fine copper wire as integrated sensor and heater for temperature control
Conventional thermostats are based on separate temperature sensor and heater devices with means for feedback between them. But in some recent EDN design ideas we’ve seen thermostat designs that meld the functions of sensor and heater into a single active device...
What Is Machine Learning? Part 3 - Hardware Conversion of Convolutional Neural Networks
Part 3 will explain the hardware conversion of a CNN and specifically the benefits of using an artificial intelligence microcontroller with a hardware-based CNN accelerator...
What is machine learning? Part 2 - Training convolutional neural networks
This is part 2 in a series of articles focusing on the properties and applications of convolutional neural networks, which are mainly used for pattern recognition and the classification of objects...
What is machine learning? Part 1 - Introduction to convolutional neural networks
The world of artificial intelligence (AI) is rapidly evolving, and AI is increasingly enabling applications that were previously unattainable or very difficult to implement. This series of articles explains convolutional neural networks and their significance in machine learning within AI systems...
Lowering quiescent current by a factor of 4 in an electronic latching switch
The circuit shows an electronic switch driven by a momentary pushbutton, which turns the power alternately on and off. It was designed for battery-powered equipment...
