Telefonaktiebolaget lm ericsson (publ) (20240120941). ENCODING AND DECODING COMPLEX DATA simplified abstract

ENCODING AND DECODING COMPLEX DATA

Organization Name

telefonaktiebolaget lm ericsson (publ)

Inventor(s)

Miguel Berg of Sollentuna (SE)

[[:Category:Per Ola B�rjesson of Mörrum (SE)|Per Ola B�rjesson of Mörrum (SE)]][[Category:Per Ola B�rjesson of Mörrum (SE)]]

Chenguang Lu of Sollentuna (SE)

ENCODING AND DECODING COMPLEX DATA - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240120941 titled 'ENCODING AND DECODING COMPLEX DATA

Simplified Explanation

The method described in the abstract is for encoding complex data by processing an input signal, applying window functions, performing a complex discrete Fourier-related transform, quantizing the data, and outputting the encoded data.

• Obtaining an input signal made up of numerically represented samples
• Determining a time frame of the input signal to process
• Applying a window function on data in the time frame to taper sample magnitude towards the edges
• Performing a windowed complex discrete Fourier-related transform on the windowed data
• Quantizing the frequency domain data
• Outputting the quantized data as encoded data
• Repeating the method with overlapping time frames in subsequent iterations

Potential Applications

The technology described in this patent application could be applied in fields such as audio signal processing, telecommunications, data compression, and image processing.

Problems Solved

This technology solves the problem of efficiently encoding complex data by using window functions and Fourier-related transforms to process input signals and output quantized data.

Benefits

The benefits of this technology include improved data encoding efficiency, reduced data size, and potentially better signal processing performance in various applications.

Potential Commercial Applications

One potential commercial application of this technology could be in the development of data compression algorithms for audio and video files, where efficient encoding of complex data is crucial for reducing file sizes without significant loss of quality.

Possible Prior Art

One possible prior art for this technology could be existing methods for data encoding using Fourier transforms and quantization techniques in signal processing applications.

How does this technology compare to existing data encoding methods in terms of efficiency and performance?

This article does not provide a direct comparison between this technology and existing methods in terms of efficiency and performance.

What are the potential limitations or challenges in implementing this technology in real-world applications?

The article does not address the potential limitations or challenges in implementing this technology in real-world applications.

Original Abstract Submitted

it is provided a method for encoding complex data. the method includes the steps of: obtaining an input signal made up of a series of numerically represented samples; determining a time frame of the input signal to process; applying a first window function on data in the time frame, resulting in first windowed data, wherein the first window function tapers sample magnitude towards the edges of the first window function; performing a windowed complex discrete fourier-related transform on the first windowed data, resulting in frequency-domain data including a plurality of coefficients, keeping only the real part or the imaginary part of each coefficient; quantizing the frequency domain data resulting in quantized data; outputting the quantized data as encoded data; and repeating the method, wherein each subsequent iteration of the step of determining a time frame includes determining a time frame that overlaps in time with a preceding time frame.