Samsung electronics co., ltd. (20240106692). ELECTRONIC DEVICE FOR MODELING NON-LINEAR MEMORY SYSTEM AND OPERATION METHOD THEREFOR simplified abstract
Contents
- 1 ELECTRONIC DEVICE FOR MODELING NON-LINEAR MEMORY SYSTEM AND OPERATION METHOD THEREFOR
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ELECTRONIC DEVICE FOR MODELING NON-LINEAR MEMORY SYSTEM AND OPERATION METHOD THEREFOR - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
ELECTRONIC DEVICE FOR MODELING NON-LINEAR MEMORY SYSTEM AND OPERATION METHOD THEREFOR
Organization Name
Inventor(s)
HYUNG SUN Lim of SUWON-SI (KR)
ELECTRONIC DEVICE FOR MODELING NON-LINEAR MEMORY SYSTEM AND OPERATION METHOD THEREFOR - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240106692 titled 'ELECTRONIC DEVICE FOR MODELING NON-LINEAR MEMORY SYSTEM AND OPERATION METHOD THEREFOR
Simplified Explanation
The abstract describes an electronic device that processes data in the time domain to generate filters for different amplitudes, performs convolution on input signals, and models a non-linear memory system.
- The processor converts AM-AM and AM-PM data into complex domains for different amplitudes.
- The preprocessed data parts are converted into a time domain to create filters for each amplitude.
- The output signal is generated by convolving the input signal with the filters.
- A non-linear memory system is modeled using the input and output signals.
Potential Applications
This technology could be applied in signal processing, communication systems, and machine learning algorithms.
Problems Solved
This innovation helps in improving signal processing efficiency, enhancing communication system performance, and optimizing machine learning models.
Benefits
The benefits of this technology include better data processing accuracy, increased system reliability, and improved overall performance.
Potential Commercial Applications
Potential commercial applications of this technology include telecommunications equipment, data processing systems, and machine learning software.
Possible Prior Art
One possible prior art for this technology could be existing signal processing methods using convolution and complex domain analysis.
Unanswered Questions
How does this technology compare to existing signal processing techniques?
This technology offers a unique approach by modeling a non-linear memory system, but further comparison with traditional methods is needed to assess its effectiveness.
What are the limitations of this technology in real-world applications?
Understanding the constraints and challenges of implementing this technology in practical scenarios is crucial for its successful adoption.
Original Abstract Submitted
an electronic device includes a processor that converts am-am data and am-pm data into complex domains for each of a plurality of different amplitudes to acquire a plurality of preprocessed data parts, converts the plurality of preprocessed data parts into a time domain to generate a plurality of filters for each of a plurality of different amplitudes, generates an output signal by performing a convolution on an input signal with the plurality of filters, and models a non-linear memory system using the input signal and the output signal.
