一种数据处理方法、电子设备及计算机可读存储介质
By determining the distance between the acquisition point and the storage point during data processing, constructing an elliptical rotating gate, and optimizing the dictionary index table, the problem of poor data compression in existing technologies is solved, achieving efficient data storage and transmission.
CN115774714BActive Publication Date: 2026-07-17CHINA ELECTRONICS CORP 6TH RES INST
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA ELECTRONICS CORP 6TH RES INST
- Filing Date
- 2022-09-28
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Existing data compression methods are ineffective, resulting in large storage space consumption and difficulties in data transmission and analysis.
Method used
By determining whether the distance between the collection point and the storage point is less than the noise threshold, extreme points are identified and saved. The SDT algorithm is used to construct an elliptical rotating gate for lossy compression, and the LZW algorithm is combined to optimize the dictionary index table for lossless compression.
Benefits of technology
It improves the effectiveness and efficiency of data compression, reduces the amount of computation, and ensures the accuracy and compression rate of the data.
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Figure CN115774714B_ABST
Abstract
本申请提供一种数据处理方法、电子设备及计算机可读存储介质，涉及数据处理领域，该数据处理方法，包括：获取待压缩数据，所述待压缩数据包括存储点和采集点；判断第一测量值是否小于噪音阈值，所述第一测量值为所述采集点和最新的存储点在时间‑特征值坐标系中的距离；若所述第一测量值大于所述噪音阈值，则存储所述采集点，并将所述最新的存储点更新为所述采集点。通过判断当前采集点与最新的存储点的距离是否小于噪音阈值，确定将大于噪音阈值的采集点进行存储，避免漏存该采集点，从而不必要地增加压缩数据的长度，甚至影响后续对压缩数据的还原度。
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