General Administration of Quality Supervision, Inspection and Quarantine of the People‘s Republic of China
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GB/T 26958.61-2023
Introduction
The GB/T 26958.61-2023 Geometrical Product Specifications (GPS) Filter - Part 61: Linear Area Filters Gaussian Filters is a technical specification that outlines the requirements for linear area filters, specifically Gaussian filters, used in product geometry analysis.
Gaussian filters are widely employed in various industries for their ability to smooth out noisy or irregular data, ensuring accurate measurement and analysis of product geometries. This standard provides guidelines for the design, characteristics, and performance evaluation of Gaussian filters, enabling consistent and reliable application across different manufacturing processes.
Key features of the GB/T 26958.61-2023 include the determination of filter parameters, such as the filter size and cutoff frequency, as well as the evaluation of filter performance through metrics like passband ripple, stopband attenuation, and phase response. The standard also covers the calculation methods for filter coefficients and the implementation of these filters in digital systems.
By adhering to the specifications outlined in this standard, manufacturers can ensure the quality and precision of their product geometries, leading to improved product performance and customer satisfaction. Additionally, the use of standardized Gaussian filters promotes interoperability and compatibility between different measurement systems, facilitating data exchange and comparability in a global manufacturing context.
Overall, the GB/T 26958.61-2023 Geometrical Product Specifications (GPS) Filter - Part 61: Linear Area Filters Gaussian Filters plays a crucial role in enhancing the accuracy and reliability of product geometry analysis, ultimately contributing to the advancement of manufacturing processes and quality control.
GB/T 26958.61-2023 history
2023GB/T 26958.61-2023 Product Geometric Specifications (GPS) Filtering Part 61: Linear Domain Filters Gaussian Filters