Sk hynix inc. (20240340023). SIGMA-DELTA MODULATOR, ADC USED TO READ INFORMATION OF RESISTIVE MEMORY USING THE SIGMA-DELTA MODULATOR, AND DEEP LEARNING NEURAL NETWORK COMPUTING SYSTEM INCLUDING THE ADC simplified abstract
SIGMA-DELTA MODULATOR, ADC USED TO READ INFORMATION OF RESISTIVE MEMORY USING THE SIGMA-DELTA MODULATOR, AND DEEP LEARNING NEURAL NETWORK COMPUTING SYSTEM INCLUDING THE ADC
Organization Name
Inventor(s)
Chang Yeop Lee of Daejeon (KR)
Jun Ho Cheon of Icheon-si (KR)
Woo Yeong Cho of Icheon-si (KR)
SIGMA-DELTA MODULATOR, ADC USED TO READ INFORMATION OF RESISTIVE MEMORY USING THE SIGMA-DELTA MODULATOR, AND DEEP LEARNING NEURAL NETWORK COMPUTING SYSTEM INCLUDING THE ADC - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240340023 titled 'SIGMA-DELTA MODULATOR, ADC USED TO READ INFORMATION OF RESISTIVE MEMORY USING THE SIGMA-DELTA MODULATOR, AND DEEP LEARNING NEURAL NETWORK COMPUTING SYSTEM INCLUDING THE ADC
The abstract describes a sigma-delta modulator that converts a current signal into digital data, an ADC utilizing the modulator, and a neural network computing system using the ADC. The modulator includes a delta circuit, integration circuit, and quantization circuit to minimize noise generation and increase signal processing speed.
- Delta circuit generates a differential current between an analog current signal and a first current determined by a digital modulation signal.
- Integration circuit integrates the differential current to generate an integration current.
- Quantization circuit generates the digital modulation signal corresponding to the integration current.
- No capacitor is used, minimizing noise generation, and allowing the signal processing speed to be determined by one element.
Potential Applications: - Digital signal processing systems - Neural network computing systems - High-speed data conversion applications
Problems Solved: - Minimization of noise in signal conversion - Increase in signal processing speed
Benefits: - Improved accuracy in digital data conversion - Enhanced speed in signal processing - Reduction in noise interference
Commercial Applications: - High-speed data acquisition systems - Communication systems - Medical imaging devices
Questions about Sigma-Delta Modulator: 1. How does the sigma-delta modulator improve signal processing speed?
The sigma-delta modulator allows the signal processing speed to be determined by one element, enhancing the overall speed of data conversion.
2. What are the potential applications of a sigma-delta modulator in neural network computing systems?
A sigma-delta modulator can be utilized in neural network computing systems to convert analog signals into digital data for processing, improving the efficiency of the system.
Original Abstract Submitted
disclosed are a sigma-delta modulator that directly converts a current signal into digital data, an adc utilizing the sigma-delta modulator, and a neural network computing system utilizing the adc. the sigma-delta modulator includes: a delta circuit to generate a differential current between an analog current signal output from a resistive memory and a first current included in the analog current signal, the first current having an amount of current determined by a digital modulation signal; an integration circuit to generate an integration current by integrating the differential current; and a quantization circuit to generate the digital modulation signal corresponding to the integration current. the sigma-delta modulator can minimize the generation of noise by using no capacitor that performs a function by a switch, and can increase a signal processing speed for conversion by allowing the signal processing speed to be determined by a signal processing speed of one element.
