Data Recovery Equalizer Using Statistical Analysis
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Solution Overview
Problem
Data recovery circuits face issues with signal amplitude attenuation and waveform distortions due to transmission medium and electromagnetic interferences, leading to erroneous parameter adjustments and positive feedback, which can render data recovery impossible.
Innovation Solution
A data recovery apparatus and method that performs statistical calculations on sampled and equalized signals to dynamically adjust the equalizer parameters, avoiding erroneous adjustments and positive feedback by analyzing multiple sampling results and signal levels, thereby maintaining optimal equalizer settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If adaptive equalizer dynamically adjusts parameters based on single sampling points, then equalization speed is improved, but parameter adjustment accuracy deteriorates leading to erroneous adjustments and positive feedback
Solution Approach 1:
The patent applies over-sampling (excessive sampling) by taking multiple sampling points instead of a single sampling point to determine equalizer parameters. This excessive action provides redundant information that enables statistical analysis, thereby improving parameter adjustment accuracy while maintaining fast equalization speed through efficient statistical processing of the multiple samples.
Solution Approach 2:
The patent implements a feedback mechanism where multiple sampling results are statistically analyzed to determine whether parameter adjustments are appropriate. The system uses the statistical results from multiple samples to feedback and control the equalizer parameter adjustments, preventing erroneous adjustments and positive feedback loops while maintaining dynamic adaptability.
2Speed
If equalizer high-frequency gain is increased to accelerate signal transition, then transition speed is improved, but signal bouncing phenomenon worsens causing erroneous data determination
Solution Approach 1:
The patent uses statistical analysis of multiple sampling points as a feedback mechanism to monitor signal transition quality. When signal bouncing occurs due to excessive high-frequency gain, the statistical results from multiple samples detect the anomaly and prevent erroneous parameter adjustments, thereby maintaining data determination reliability while allowing aggressive equalization for fast transitions.
Solution Approach 2:
By using multiple sampling points (excessive sampling) rather than a single point, the system can tolerate higher equalizer gains that produce bouncing phenomena. The multiple samples provide statistical redundancy that allows the system to distinguish between legitimate signal transitions and bouncing artifacts, enabling faster transitions without sacrificing reliability.
3Measurement precision
If over-sampling with doubled sampling frequency is performed, then data recovery accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent changes the processing approach by applying statistical analysis (calculating means, variances, or other statistical parameters) to the multiple sampling points. This parameter transformation converts the raw multiple samples into condensed statistical descriptors that capture the essential signal characteristics, thereby reducing computational complexity while preserving the accuracy benefits of over-sampling.
Solution Approach 2:
The patent extracts only the essential statistical features from the multiple sampling points rather than processing all raw sample data. By taking out and utilizing only the relevant statistical parameters (such as mean and variance of the sampling points), the system achieves data recovery accuracy with reduced computational complexity compared to processing every individual sample point.
Data Source
AI summary
A data recovery apparatus applied to a receiving device. The receiving device include an interface, an equalizer, a sampling unit, and an analyzing unit. The method of the present invention includes steps of the interface unit receiving an input signal, and the equalizer equalizing the input signal. Then the sampling unit sampling the equalized input signal. the analyzing unit analyzing and statistical calculating the sampled and equalized digital image signal, generating a statistically calculation results, and adjusting parameters of the equalizer according to the statistical calculation results. Therefore, when determining whether the parameters of the equalizer occurs the predetermined effort, changing the adjusting of parameters of the equalizer in the direction.