Pulse Signal Encoding with Hidden Variables for Low-Bandwidth Links
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing brain-machine interface technologies face challenges in transmitting high-throughput pulse signals over low-bandwidth wireless channels, leading to issues with precision, real-time performance, and storage requirements.
Innovation Solution
An encoding method that compresses pulse signals into hidden variables using convolutional neural networks, performs quantization and index encoding to generate a vector index, which is transmitted to a decoding apparatus for reconstruction, reducing data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If pulse signals are transmitted directly without compression, then signal accuracy is maintained, but data transmission volume is too large for low-bandwidth wireless channels
Solution Approach 1:
The patent extracts essential features from the original pulse signal by encoding it into a hidden variable representation. The encoder extracts the most important signal characteristics while discarding redundant information, transforming the high-dimensional pulse signal into a lower-dimensional hidden variable that can be efficiently transmitted over bandwidth-limited channels while preserving the essential information needed for accurate reconstruction.
Solution Approach 2:
The patent changes the parameter representation of the pulse signal by transforming it from time-domain amplitude values into a hidden variable space through neural network encoding. This parameter transformation allows the signal to be represented more compactly, reducing the data volume required for transmission while maintaining the ability to reconstruct the original signal at the decoder.
2Measurement precision
If high-throughput pulse signals are generated for brain-machine interface, then precision and sampling rate are improved, but power consumption and chip area requirements increase
Solution Approach 1:
The patent creates a compressed copy of the pulse signal in the form of a hidden variable representation. Instead of transmitting or processing the full high-resolution pulse signal, the system works with this compressed copy that contains the essential information. This copying approach allows high-precision signal processing to be performed on a reduced data set, thereby reducing power consumption while maintaining measurement precision.
Solution Approach 2:
The patent segments the pulse signal processing into two distinct stages: encoding at the transmitter to create hidden variables, and decoding at the receiver to reconstruct the signal. This segmentation allows the computationally intensive processing to be distributed, with the encoder performing feature extraction and the decoder performing reconstruction, thereby reducing the power consumption burden on any single component while maintaining high signal precision.
3Quantity of substance
If pulse signals are compressed into hidden variables and transmitted as vector indices, then data transmission volume is reduced, but system complexity increases
Solution Approach 1:
The patent introduces hidden variables as an intermediary representation between the original pulse signal and the transmitted data. This intermediary layer serves as a bridge that transforms the complex high-dimensional pulse signal into a compact index form suitable for transmission. The hidden variable acts as a mediator that simplifies the data while preserving the essential information, making the overall system more manageable despite the added encoding and decoding steps.
Data Source
Figure 1~2
Figure 3~4(h)
Figure 5~6
AI summary
Embodiments of this application provide an encoding method, a decoding method, an encoding apparatus, and a decoding apparatus, and relate to the field of chip technologies, to resolve a problem of pulse signal transmission in a high-throughput and low-bandwidth scenario. A specific solution is: obtaining a first pulse signal; encoding the first pulse signal to obtain a hidden variable; quantizing the hidden variable, and performing index encoding on a quantized hidden variable to obtain a vector index of the first pulse signal, where the vector index is used by a decoding apparatus to reconstruct the first pulse signal with reference to the hidden variable; and sending the vector index to the decoding apparatus. Embodiments of this application are applied to a process in which the encoding apparatus transmits a pulse signal to the decoding apparatus.