লক্ষ্য করুন: এই এন্ট্রির অনুবাদ বর্তমানে মান পর্যালোচনার অধীনে রয়েছে, তাই কিছু বিষয়বস্তু সাময়িকভাবে শুধুমাত্র ইংরেজিতে প্রদর্শিত হচ্ছে।
এই এন্ট্রিটি এখনও আপনার ভাষায় অনুবাদ করা হয়নি, তাই নিচে মূল লেখাটি দেখানো হচ্ছে।
Gaussian
This term is a proper adjective derived from the name of Carl Friedrich Gauss. In technical contexts, it is almost exclusively used to describe the normal distribution or mathematical processes based on it. It carries a highly formal, academic register and is standard in fields such as statistics, quantum physics, and signal processing.
When used in image processing or data analysis, a Gaussian blur or filter refers to a specific smoothing technique that uses a weighted average of neighboring pixels. It is distinct from other types of filters (like median or bilateral filters) because it specifically mimics the bell curve of a normal distribution to reduce high-frequency noise.
Meanings
Relating to the mathematician Carl Friedrich Gauss or his theories, particularly in mathematics and physics.
Examples
The height of adult males typically follows a gaussian distribution.
The height of adult males typically follows a gaussian distribution.
I need to apply a gaussian blur to the background of this photo.
Does the noise in this signal have a gaussian profile?
We assumed a gaussian error model for the initial calculations.
The probability density function is essentially a gaussian curve.
The probability density function is essentially a gaussian curve.
Let's use a gaussian kernel to smooth out these data points.
The sensor output is roughly gaussian, which simplifies the analysis.
Wait, is this a gaussian process or something more complex?