改善週期性尖銳快速訊號解析度與訊號重組的CSO演算法

Improving the sampling resolution of periodic signals and signal recombination process by using Cycle Sample Overlap algorithm

許耀庭(Yao-Ting Hsu)

指導教授 ： 葉雲奇

健行科技大學/電資學院/電子工程系碩士班/碩士(2016年)

摘要

本篇論文為改善週期性尖銳快速訊號(spike shape waveform)之解析度與訊號重組，提出“週期取樣重疊”(Cycle Sample Overlap，CSO)演算法。本篇論文包含二個主題，分別是(i)決定K值(取樣的週期數)與P值(取樣的點數)；及(ii)訊號重組處理(signal recombination process)。在數位訊號處理的研究領域上，最重要的問題就是“尖銳快速”訊號的擷取(fetch)問題。因為尖銳快速訊號之變化速度太快，且又受到類比數位轉換器(ADC)之轉換時間(conversion time)的限制，因此無法單獨的只靠提高ADC之取樣頻率來達到提高此類訊號的解析度，因此造成無法正確的辨識尖銳快速訊號。本篇論文提出的CSO演算法，是取樣多個週期的類比式訊號，重組後使之成為是一個週期長度的新數位式訊號。依據實驗結果，CSO演算法不須另加額外的硬體電路，即可達到提高尖銳快速訊號解析度之目的。

關鍵字

尖銳快速訊號 ； 訊號雜訊比 ； 訊號重組處理

並列摘要

This dissertation presents a simple and effective algorithm, termed Cycle Sample Overlap (CSO) algorithm, for increasing sample numbers of periodic spike shape waveform and then gives high sampling resolution. This CSO algorithm includes two main stages: (i) determining the values of P (the number of total signals samples) and K (the number of periods), and (ii) performing the sampling and signal recombination process. The major problem in digit signal processing is how to fetch spike shake waveform. The spike shape waveform changes too fast to convert such analog signals to digit data by using existing analog-to-digital converters (ADCs) with effective sample rate. To overcome this problem, this study employs software algorithm, CSO algorithm, to increase the sampling numbers. The CSO algorithm gives a high sample resolution for the spike shape waveform and then solves the problem of limited conversion time of ADCs. Experimental results show that the proposed CSO algorithm, which requires no additional hardware, improves the sampling resolution of periodic spike shape signals.

並列關鍵字

Spike shape waveform ； SNR ； Signal recombination process

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