zero frequency component 中文意思是什麼
zero frequency component
解釋
直林量-
This text divides into five chapters altogether : chapter one in the introduction, have introduced the common sensor of displacement, has pointed out the fine characteristic of hall ' s sensor, put forward the basic task ; chapter two have introduced the basic operation principle of hall ' s component ; chapter three introduce hall temperature performance, electromagnetic characteristic, zero error, frequency characteristic and these parameter commonly used compensation method and hall simple application of component ; chapter four having recommended the measurement principle of the feedback servo mechanism, systematic implementation method, the experimental result has appeared, structure the mathematics model, and has analysed the error ; chapter five have pointed out the developing direction in the future while looking forward to
本文共分為五章：第一章緒論中，介紹了常見的位移傳感器，指出了霍爾傳感器的優良特性，提出了基本任務；第二章介紹了霍爾元件的基本工作原理；第三章介紹了霍爾元件的溫度性能、電磁特性、零位誤差、頻率特性以及這些參數常用的補償方法和霍爾元件的簡單應用；第四章介紹了反饋隨動機構的測量原理，系統的實現方法，給出了實驗結果，構建了數學模型，並對誤差進行了分析；第五章展望中指出了今後的發展方向。 -
One is to use fourier transformation to convert the source signal from time domain to frequency domain and to discard high frequency harmonious components upwards of 19 ( gb / t14953 - 93 d5. 3 demanding ), then to have static huffman coding to the quantized char array which is composed of reserved direct current component and basic wave and each high frequency " s amplitudes and angles. the other is to use discrete wavelet transformation to convert the source signal from time domain to frequency domain and to set the high frequency coefficients that its absolute value is smaller than the given threshold to zero, then to have dynamic huffman coding to the quantized char array which is composed of multiple, wavelet ' s level, datum length, low frequency coefficients and reserved high frequency coefficients. mass simulinks and analyses under the two circumstances have done to show that data compression ratio is small and the relative error is also small and within the permission of engineering and the compression problem can be solved in theory of measured datum of power system
第一種情況的壓縮方法為：採用傳統的傅立葉變換把原始信號從時間域變換到頻率域，舍棄20次及其以上的高次諧波成分（保證了gb / t14953 ? 93d5 . 3要求） ，然後對保留的直流分量、基波和各次諧波的幅值和相角數據量化后和量化時分別乘以的倍數系數構成一個數組，以字元形式保存，採用靜態huffman編碼對變換數據進行壓縮；採用離散小波變換把原始信號從時間域變換到頻率域，然後對分解得到的高頻系數進行閾值量化處理，對乘以的倍數系數、小波變換的階數、小波變換后的低頻、各級高頻以及原始數據長度、量化后的低頻系數以及保留的高頻系數大小、位置構成一個數組，以字元形式保存，採用動態huffman編碼對這個文件進行壓縮。
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