signal recognition time 中文意思是什麼

signal recognition time 解釋
信號識別時間
  • signal : n 1 信號，暗號；信號器。2 動機，導火線 （for）。3 預兆，徵象。adj 1 暗號的，作信號用的。2 顯著的...
  • recognition : n. 1. 認識；識出；識別；面熟，認得；招呼。2. 承認，認可。3. 褒獎，表揚；感謝，酬勞。
  • time : n 1 時，時間，時日，歲月。2 時候，時刻；期間；時節，季節；〈常pl 〉時期，年代，時代； 〈the time ...
  1. This thesis tries to update the cmdsr system to achieve the characters below : real - time, better robust, higher recognition rate, non - special - man. considering the disadvantages of traditional improved spectrum subtraction speech enhancement, this thesis proposes the theory of fuzzy spectrum subtraction based on the fuzzy theory and improved spectrum subtraction speech enhancement ; as for the difficulties of detecting the endpoint of speech signal, the thesis gives the table of initial and the improved parameters, with which we can confirm the endpoints of mandarin digit speech ; the thesis puts forward two - level digit real - time speech recognition system, the first level is based on discrete hidden markov model which is linear predictive coding cepstrum ( lpcc ) and difference linear predictive coding cepstrum ( dlpcc ), the second level is based on formant parameters ; as for the realization of hardware, the thesis depicts the realization of every part of cmdsr based on the tms320vc5402 in detail ; as for the development of software, the thesis gives the software design flow chart of cmdsr, simulates the basic theory with matlab language and gives the simulation results

    針對傳統的「改進譜相減法語音增強」參數設定單一、環境適應能力差的缺點，提出了一種利用模糊理論和「改進的譜相減法」結合的「模糊譜相減法語音增強」 ;針對語音信號端點檢測困難的特點，通過matlab模擬試驗，給出了能夠準確確定數碼語音端點的初始和改進參數表;提出了利用基於線性預測編碼倒譜參數和差分線性預測編碼倒譜參數相結合的離散隱含馬爾可夫模型進行第一級識別、利用共振峰參數進行第二級識別的兩級漢語數碼語音識別系統，在保證系統實時性的同時，實現連接漢語數碼語音識別系統識別率的提高;在硬體實現上，詳細闡述了基於tms320vc5402的連接漢語數碼語音識別系統各部分硬體設計;在軟體開發上，給出了連接漢語數碼語音識別的軟體設計各部分的流程圖，並對各部分進行了matlab模擬，並給出了模擬結果。
  2. Professor ching s research interests include adaptive digital signal processing, time delay estimation and target localization, wavelets, blind signal estimation and separation, automatic speech recognition for cantonese, speech modeling and speech synthesis, hands - free communications and advanced signal processing techniques for communications

    程教授從事的研究包括信息技術、數字信號處理、語音分析合成、識別，以及陣列處理及通信等。他出版了一百六十多篇專文，先後于國際性期刊刊登及於國際會議中發表。
  3. This dissertation concentrates on the difficult problems that the pipeline or pipe defects are not estimated or evaluated quantitatively, intelligently by mfl ( magnetic flux leakage ) inspection method. from the practical demand, theoretical analysis and experiments or testing, the mfl inspection technology of pipeline or pipe defects are explained, summarized in detail in the whole paper, at the same time, the relationship between the mfl field distribution, the mfl signal shape and the defect geometry or severity, the analysis of the mfl data and the compensation of influencing the relationship factors, signal feature extraction, intelligent recognition of defect parameters and so on are studied systematically

    論文針對管道（鋼管）缺陷漏磁檢測定量化、智能化的難題，緊密結合檢測現場實際需要，通過理論分析和大量實驗，系統分析總結了管道（鋼管）缺陷漏磁智能檢測技術，並在缺陷漏磁場分佈以及缺陷漏磁信號與缺陷外形參數間的關系、缺陷漏磁信號分析、漏磁信號影響因素補償、缺陷漏磁場波形特徵提取和缺陷外形尺寸定量識別等方面進行了深入研究，主要成果和創新如下：引出磁偶極子模型近似分析常見缺陷漏磁場，針對磁偶極子模型的不足，將有限元方法應用到缺陷漏磁場分析，實現了常見管道樣本缺陷漏磁場的模擬。
  4. The noise signal of passing vehicles is gathered with microphone array, and processed off line with the method of wide - band array signal processing, then the estimation of vehicle numbers can be transformed into the estimation of signal source numbers, up and down of the vehicle can be transformed into doa estimation of array signal processing. at the same time, vehicle types are classified using pca method of the pattern recognition based on vehicle noise, and some primarily study is done for vehicle recognition. at last, the result of the experiment proves this method is feasible

    對麥克風陣列所採集的車輛行駛時的聲音信號，運用寬帶陣列信號處理的方法進行離線處理，並將車輛個數的估計轉化為陣列信號處理中信號源個數的估計，將車輛上下行的估計轉化為陣列信號處理中波達方向變化的估計，進而較準確地估計出了車輛的個數與行車方向；同時對所採集的車輛聲音信號應用模式識別中的主分量分析法實現了車輛的簡單分類，為實現車型識別作了一些初步的探索。
  5. In the thesis, we select the mel - frequency cepstrum coefficients based on analyzing a lot of parameters of speech signal. mel cepstrum is of better recognition and anti - noise capability. ( 2 ) dynamic time warping, vector quantization, hidden markov model and artificial neural network can be used in speaker recognition

    （ 2 ）現有的說話人識別方法有動態時間規整法、矢量量化法、隱馬爾可夫模型和神經網路法等，其中hmm已成為目前最佳的說話人識別處理模型。
  6. Motion capture data can be thought as time series, signals, patterns, and curves in form, so time series analysis, signal processing, pattern recognition and curve editing techniques can play a great role on motion capture data

    在形式上，運動數據可以被看作時間序列、信號、模式、曲線等，所以時間序列分析、信號處理、模式識別、曲線編輯等技術都可以在運動數據上大顯身手。
  7. In this paper, a new way of real - time damage detection method was proposed according to the high speed working situation of the composite flywheels for energy storage, and a suit of equipment was developed to test the composite samples with piezoelectric disc built - in, the response waves before and after the damage occurred were recorded to the computer. on the base of traditional spectrum analysis of signal recorded, the wavelet analysis was introduced and the program in matlab language was made. with the wavelet packet decomposition of the signal, the relations between the change of response signals and damage characters were gotten, a database for damage recognition was created

    本文結合儲能復合材料飛輪高速旋轉的工作特點，提出了一種在線檢測飛輪轉子損傷的方法，自主設計一套實驗裝置對模擬各種損傷的的試樣進行了測試，試樣損傷前後的響應信號被採集后存入計算機中；在對採集信號進行傳統的頻譜分析的基礎上，引入了先進的小波分析理論，利用matlab語言編寫程序，對信號進行小波分解，得到了信號變化和損傷特徵之間的關系，建立了一個識別飛輪損傷的數據庫；小波包分解得到信號對比圖和特徵向量，可以有效判定材料內部有無損傷和損傷的程度，結合頻譜分析等，可一定程度上判定損傷的類型，為儲能飛輪的安全運轉和智能化運作提供了決策依據。
  8. In voice print recognition, the production of the sound signal is usually modeled by the discrete time - domain model. with the respect to feature extraction, the requirement is that feature parameters selected should reflect both the physiological properties of the speaker ' s vocal organs and the psychological properties of the speaker ' s speech habits

    聲紋識別中也是採用離散時域模型作為語音信號產生的數字模型，在特徵提取方面，特徵參數的選取要反映出說話人發音系統的生理特點和明顯反映出說話人發音習慣等的心理特點。
  9. At the same time, this paper presents packet recognition, transaction sequencing, sop, eop, reset, resume signal detection / generation, clock / data separation, nrzi data encoding / decoding and bit - stuffing, crc generation and checking ( token and data ), packet id ( pid ) generation and checking / decoding, serial - parallel / parallel - serial conversion

    對同步模式的識別、并行/串列轉換、位填充/解除填充、 crc校驗/產生、 pid校驗/產生、地址識別和握手評估/產生做了具體的分析。
  10. Therefore, based on the ann correlation signal post - processing technique, we designed a kind of sdf performed in spatial domain, and a two - step recognition technique was introduced to perform real - time distortion - invariant recognition by combining frequency domain filtering of sdf with spatial domain filtering of sdf

    為此，本文在ann相關信號后處理技術的基礎上引入了二次識別技術，設計製作了一種空域執行的sdf濾波器，採用頻域sdf濾波與空域sdf濾波相結合的方法，對目標進行實時畸變不變識別。
  11. In this paper, the design and implementation of real - time image capture board based on tms320c6205 dsp ( digital signal processor ) for plate recognition and fft algorithm is studied. also, the methodology for hand - coding algorithms and software pipelines for tms320c6205 vliw - type processors are proposed for improving the code efficiency. last, the optimized methods for realizing plate recognition system and fft are applied

    本文用基於tms320c6205數字信號處理器的實時圖像處理板來實現牌照識別系統以及fft演算法，主要包括： 1 ）自行設計和製作了實時圖像處理板2 ）提出了針對tms320c6205vliw結構的手動編碼方法以及流水線實現方法，用以提高代碼的效率3 ）提出了針對牌照識別系統和fft演算法的優化方法。
  12. The wavelet analysis is applying widely to pure mathematics, applied mathematics, signal processing, speech recognition and synthesis, automation processing and image analysis etc. the key advantage of the wavelet analysis is that, in contrast to the conventional fourier analysis, it can be localized in the time and frequency domain simultaneously

    小波分析已經廣泛應用於理論數學、應用數學、信號處理、語音識別與合成、自動控制和圖像處理與分析等領域。同傳統的傅立葉分析相比，小波分析的最大優勢在於可以同時在時頻兩方面實現局部化分析。
  13. Dynamic mapping algorithm is also illustrated in details. through the computer simulation to some real short - time voice signal samples using matlab language. the result shows that the recognition efficiency using cepstrum coefficients mapping is better than what made by lpc mapping

    實驗結果表明，與採用lpc特徵相比，採用lpc倒譜特徵和動態匹配演算法進行短時語音識別，會有較高的識別率；對不同語音信號有特徵空間離散度大、易於確定判別門限的特點。
  14. Nios ii soft core fulfills endpoint detection, feature extraction, discipline, recognition, input control and output display, etc. the audio signal feature, in this scheme, is the lpc mel cepstrum coefficient ( lpcmcc ) and recognition algorithm is dynamic time warping ( dtw )

    由fpga硬體完成對音頻數據的預加重和加窗分幀處理等，由niosii軟核執行端點檢測、特徵提取、訓練建模、識別匹配、輸入控制和輸出顯示等。系統提取的音頻信號特徵為線性預測美爾倒譜系數（ lpcmcc ） ，採用動態時間規整（ dtw ）的識別演算法。
  15. Wavelet transform is a wonderful method, which have adjustable resolution in time and frequency fields leading to more subtly analysis for a signal segment. it works in a good pattern according with the rule of human ears distinguishing frequencies from voice. for stft having inevitable disadvantages in analysis of unstable signal such as speech signal, as a result of study on wavelet theory and speaker recognition techniques, two feature parameters, iwptc ( incomplete wavelet packet transform coefficients ) and wptc ( wavelet packet transform coefficients ), are got based on wavelet transform

    針對短時傅立葉分析在提取說話人特徵參數時的缺陷，本文通過對小波理論和說話人識別技術的研究，借鑒了一種傳統的基於聽覺機理的特徵參數mfcc （ mel頻域倒譜系數） ，利用小波變換、小波多分辨分析和小波包變換，構造出了兩種基於小波變換的說話人識別特徵參數： iwptc （不完全小波包變換系數）和wptc （小波包變換系數） 。
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