Least Significant Bit Noise Floor Reduction in Digital Signal Processing
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Solution Overview
Problem
Existing data transmission systems face challenges in reducing noise floor effectively, especially in analog components, where noise leads to signal corruption and is difficult to address with existing error detection and correction mechanisms, which are often expensive and complex.
Innovation Solution
A noise floor reduction system that determines and sets the least significant bits of binary samples to specified values, balancing them to minimize noise impact without introducing DC bias, allowing for low-cost implementation in devices like cordless phones and other communications systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If error detection and correction techniques are used to protect signals from noise, then signal reliability is improved, but system cost and complexity increase
Solution Approach 1:
The patent extracts and processes only the least significant bits of the digital signal, which contain the noise information, while leaving the most significant bits unchanged. This selective processing reduces complexity compared to processing the entire signal with complex error correction codes.
Solution Approach 2:
The patent uses a simple noise estimation and subtraction approach instead of expensive high-performance analog-to-digital converters or complex error correction systems. The solution replaces costly hardware with a computationally simple digital signal processing technique.
2Object-affected harmful factors
If high-performance analog-to-digital converters are used to reduce noise floor, then noise floor is reduced, but system cost increases
Solution Approach 1:
The patent replaces expensive high-performance analog-to-digital converters with standard converters followed by digital signal processing. The noise reduction is achieved through software-based noise estimation and subtraction rather than through expensive hardware specifications.
Solution Approach 2:
The patent substitutes a hardware-based noise reduction approach (high-performance converters) with a software-based digital signal processing approach. The noise floor reduction is achieved through algorithmic processing of the digital signal rather than through superior analog-to-digital conversion hardware.
3Object-affected harmful factors
If noise reduction processing is applied to digital signal, then noise floor is reduced, but signal precision may be affected
Solution Approach 1:
The patent applies noise reduction only to the least significant bits of the signal, which contain the noise information, while preserving the most significant bits that contain the essential signal information. This localized processing maintains signal precision while reducing noise floor.
Solution Approach 2:
The patent creates an estimate of the noise component and subtracts it from the original signal. By working with a copy/estimate of the noise rather than directly manipulating the original signal, the method reduces noise while preserving the essential signal characteristics.
Data Source
AI summary
A method and system to reduce the noise floor of a communications system is disclosed. The system may be incorporated into any device that provides binary samples from a datastream, such as a cordless telephone system. The system is configured to determine a number of bits of the binary samples that are affected by noise. The system is then able to remove the noise by setting those bits to a fixed value. The fixed value may depend on whether the sample is positive or negative. The value to set may be chosen so that the least significant bits of each sample come as close as possible to 0 for that particular numerical representation system. The system can be integrated with other known signal processing methods.