Using noise octave analyzer and order analyzer for rotating machine as example , the application of modular modeling method is introduced 并以噪聲倍頻程分析儀和旋轉(zhuǎn)機械階比分析儀為例,介紹了模塊化建模方法在具體儀器建模中的應(yīng)用。
In a word , this thesis makes breakthroughs in both theory and application . in theory , multiresolution spectrum estimation method , multiresolution random vibration control algorithm and high resolution octave analysis algorithm are developed ; in practice , two types of dsp hardware are designed and implemented with all the algorithms mentioned above , all of them meet product level demands 在理論上,提出了多分辨譜估計理論、多分辨隨機振動控制算法和高分辨率倍頻程分析算法;在應(yīng)用上,完成了兩種類型實時dsp硬件電路的設(shè)計,并將上述算法在硬件系統(tǒng)中得到了成功的應(yīng)用,取得了很好的效果,達到了產(chǎn)品級的設(shè)計要求。
It is a well - compromised solution to both the computation resource problem and measure time problem . compared to the integrate average method , which is found widely used in octave analysis , this algorithm saves much computation . dsp - based real time hardware design is also studied in this thesis 本文提出了基于多分辨譜估計理論的高分辨率倍頻程分析算法,能夠在普通的dsp上實現(xiàn)高精度的倍頻程分析,與傳統(tǒng)的時域積分平均算法相比,在計算效率上有著明顯的優(yōu)勢。
Octave analysis is widely used in acoustic signal analysis , whose resolution needs to be enhanced greatly in order to describe the sound signal in more detail . today multi - channel real - time octave analysis may need to be processed at 1 / 48 - octave or even 1 / 96 - octave , which is impossible for some platforms unless more expensive hardware enhancement provided . the high - resolution octave analysis algorithm provided in this thesis is based on the multiresolution spectrum estimation theory 倍頻程分析是聲學(xué)分析的一個重要工具,隨著人們對聲音信號頻率成分刻劃要求的提高,對倍頻程分析的頻率分辨率要求也越來越高,目前要求實現(xiàn)多通道同時處理的1 / 48甚至1 / 96的倍頻程分析,使得傳統(tǒng)算法很難實現(xiàn)或?qū)崿F(xiàn)的硬件成本很高。