quantisation error
量化誤差
quantisation noise
量化噪聲
quantisation level
量化級別
quantisation process
量化過程
quantisation method
量化方法
quantisation scheme
量化方案
quantisation step
量化步長
quantisation function
量化函數
quantisation threshold
量化閾值
quantisation range
量化範圍
quantisation is essential in digital signal processing.
量化在數字信號處理中的重要性不容忽視。
the quantisation error can affect the accuracy of measurements.
量化誤差會影響測量的準確性。
in quantum mechanics, quantisation refers to discrete energy levels.
在量子力學中，量化指的是離散的能量級。
understanding quantisation helps in better data compression techniques.
理解量化有助於更好的數據壓縮技術。
quantisation can lead to loss of information in audio files.
量化可能導致音頻文件信息的丟失。
researchers are exploring new methods of quantisation in machine learning.
研究人員正在探索機器學習中新的量化方法。
quantisation levels determine the quality of digital images.
量化級別決定了數字圖像的質量。
improving quantisation algorithms can enhance video streaming quality.
改進量化算法可以提升視頻流的質量。
quantisation noise is a common issue in digital communications.
量化噪聲是數字通信中的常見問題。
the process of quantisation is crucial in converting analog signals to digital.
量化過程在將模擬信號轉換爲數字信號時至關重要。
quantisation error
量化誤差
quantisation noise
量化噪聲
quantisation level
量化級別
quantisation process
量化過程
quantisation method
量化方法
quantisation scheme
量化方案
quantisation step
量化步長
quantisation function
量化函數
quantisation threshold
量化閾值
quantisation range
量化範圍
quantisation is essential in digital signal processing.
量化在數字信號處理中的重要性不容忽視。
the quantisation error can affect the accuracy of measurements.
量化誤差會影響測量的準確性。
in quantum mechanics, quantisation refers to discrete energy levels.
在量子力學中，量化指的是離散的能量級。
understanding quantisation helps in better data compression techniques.
理解量化有助於更好的數據壓縮技術。
quantisation can lead to loss of information in audio files.
量化可能導致音頻文件信息的丟失。
researchers are exploring new methods of quantisation in machine learning.
研究人員正在探索機器學習中新的量化方法。
quantisation levels determine the quality of digital images.
量化級別決定了數字圖像的質量。
improving quantisation algorithms can enhance video streaming quality.
改進量化算法可以提升視頻流的質量。
quantisation noise is a common issue in digital communications.
量化噪聲是數字通信中的常見問題。
the process of quantisation is crucial in converting analog signals to digital.
量化過程在將模擬信號轉換爲數字信號時至關重要。
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