18276066. ENCODING AND DECODING COMPLEX DATA simplified abstract (Telefonaktiebolaget LM Ericsson (publ))

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 18276066 titled 'ENCODING AND DECODING COMPLEX DATA

Simplified Explanation

The method described in the patent application involves encoding complex data using a series of steps, including obtaining an input signal, applying a window function, 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
• Applying a window function to taper sample magnitude towards the edges
• Performing a complex discrete Fourier-related transform on the windowed data
• Quantizing the frequency domain data
• Outputting the quantized data as encoded data
• Repeating the process with overlapping time frames

Potential Applications

This technology could be applied in fields such as audio signal processing, image compression, and data transmission where complex data encoding is required.

Problems Solved

This method solves the problem of efficiently encoding complex data while maintaining accuracy and reducing data size for storage or transmission purposes.

Benefits

The benefits of this technology include improved data compression, reduced storage requirements, and enhanced data transmission efficiency.

Potential Commercial Applications

With its ability to efficiently encode complex data, this technology could find applications in industries such as telecommunications, multimedia, and data storage.

Possible Prior Art

One possible prior art for this technology could be similar methods used in audio or image compression algorithms, such as those based on Fourier transforms and quantization techniques.

How does this method compare to existing data encoding techniques in terms of efficiency and accuracy?

This article does not provide a direct comparison with existing data encoding techniques, so it is unclear how this method stacks up against current practices in terms of efficiency and accuracy.

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

The article does not address any potential limitations or constraints that may arise when implementing this technology in real-world applications, leaving room for further exploration into practical challenges that may be encountered.

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.