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jjhuang's Random Notes

This is my random notes of random topics or random data posted at random.

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jjhuang's Random Notes | alberthuang314.blogspot.com Reviews
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This is my random notes of random topics or random data posted at random.
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1 jjhuang's random notes
2 language
3 english
4 以頻率計數器來看 undersampling
5 table of contents
6 1 頻率計數器問題
7 2 如何計算頻率?
8 3 這跟取樣有什麼關係?
9 4 如果你的計數頻率低於要偵測的頻率呢?
10 頻率計數器問題
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jjhuang's random notes,language,english,以頻率計數器來看 undersampling,table of contents,1 頻率計數器問題,2 如何計算頻率?,3 這跟取樣有什麼關係?,4 如果你的計數頻率低於要偵測的頻率呢?,頻率計數器問題,如何計算頻率?,figure 1,頻率計數,這跟取樣有什麼關係?,如果你的計數頻率低於要偵測的頻率呢?,figure 2,頻率計數 undersampling,換算成頻率,figure 3,是我們常見的取樣圖形化分析方式
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jjhuang's Random Notes | alberthuang314.blogspot.com Reviews

https://alberthuang314.blogspot.com

This is my random notes of random topics or random data posted at random.

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1

jjhuang's Random Notes: August 2014

http://alberthuang314.blogspot.com/2014_08_01_archive.html

This is my random notes of random topics or random data posted at random. Thursday, August 7, 2014. LaTeX 字型安裝筆記: Adobe Garamond Pro 字型. LaTeX 字型安裝筆記: Adobe Garamond Pro 字型. LaTeX 字型安裝筆記: Adobe Garamond Pro 字型. 上一篇文章筆者提到了 Garamond 字型有非常多個供應者, 其中一個就是 Adobe Garamond Pro 字型, 這是 Adobe 公司出品的商業字型, 在 LaTeX 上同樣也是由. 筆者先假設你購買或從他處取得 Adobe Garamond Pro 的以下檔案:. 的字型目錄裡面, 在筆者的 Mac 上我把他們複製到. 然後你就可以在 LaTeX 裡面使用 Adobe Garamond Pro 這一套商業字型了, 有任何其他的使用細節, 可以在 CTAN 上搜尋 mathdesign 套件. Created: 2014-08-07 Thu 01:39. Http:/ www&...

2

jjhuang's Random Notes: February 2014

http://alberthuang314.blogspot.com/2014_02_01_archive.html

This is my random notes of random topics or random data posted at random. Tuesday, February 18, 2014. 談談 ARM Cortex-M4F 上的 DSP 功能. 談談 ARM Cortex-M4F 上的 DSP 功能. 2 ARM Cortex-M4F 功能簡介. 3 DSP 運算的核心: 乘積累加(Multiply-and-Accumulate). 談談 ARM Cortex-M4F 上的 DSP 功能. 從 ARM2 在 1986 年問世以來, ARM 的處理器一向以省電性聞名, 之後到了智慧型手持裝置的時代, 省電性更是非常迫切的需求, 到了 2005 年, 有 98% 的手機上面至少有一顆 ARM 的處理器。 專精於數位訊號處理的工程師, 除了傳統的數位訊號處理器以外, 勢必要了解一下這樣的趨勢, 以及如何在自己的專案中評估使用 ARM 處理器的可能性, 本文將會針對與中低階 DSP 較為類似的 ARM Cortex-M4F 上的 DSP 功能來討論。 在擁有 DSP 能力的處理器中, 有幾個分類:.

3

jjhuang's Random Notes: June 2012

http://alberthuang314.blogspot.com/2012_06_01_archive.html

This is my random notes of random topics or random data posted at random. Monday, June 18, 2012. 用 Linear Filter(IIR) 來實作 Fibonacci 序列. PyConTW 2012 在日前圓滿落幕, 會中的 keynote speaker Travis Oliphant 講. 了一個使用 linear filter 實作 Fibonacci 的例子, 在演講中只有一張投影片,. 在這裡我嘗試做分解動作解釋一下。投影片內容在 http:/ www.slideshare.net/pycontw/largescale-arrayoriented-computing-with-python. 我們知道 Fibonacci 序列是 x(n) = x(n-1) x(n-2), 而 x(0) = 0, x(1). 1 Fibonacci 序列的產生也常常是教科書介紹 recursive 的好範例, 不過就. B = array([1.0]). A = array([1., -1, -1]). 人類天生就...

4

jjhuang's Random Notes: December 2014

http://alberthuang314.blogspot.com/2014_12_01_archive.html

This is my random notes of random topics or random data posted at random. Wednesday, December 3, 2014. 因為媒體人提到了柯 P 在新聞面對面專訪結束之後,問了「怎麼樣才能勝選但又不用讓馬英九下台」,所以昨夜花了點時間看了柯文哲與連勝文在新聞面對面的專訪,並且比較兩個人的特質。 我想點出來的是,連勝文是規則導向(rule-centered),而柯文哲是原則導向(principle-centered)。比如說講到廉潔,兩邊都有一個故事,連勝文這邊是說他在悠遊卡公司的時候,公司在敦化北路跟民生東路口附近,而他丈母娘的紅豆食府就在附近,但他只要是公司出錢的聚餐,為了避嫌都不會去紅豆食府,乍聽之下,似乎很清廉自持,但後面一點他說了,他悠遊卡董事長上任第一天,有人給了他一本廉政的手冊吧,上面就有提到一個小故事...規則導向我想到的代表人物是馬英九總統,看他的行事風格你就會知道什麼叫做規則導向,他最常把「依法行事」掛在嘴邊,對於一些大家都知道要為大...Links to this post. 人類天生就是視覺與聽覺的...

5

jjhuang's Random Notes: February 2012

http://alberthuang314.blogspot.com/2012_02_01_archive.html

This is my random notes of random topics or random data posted at random. Wednesday, February 22, 2012. Gcc for Andes compile 出來的 assembly. 為了要做 24-bit signed integer to 32-bit signed integer 的 signed extension 測試,我寫了以下的一小段 code 來測試, 在這裡順便稍微提一下 optimization, 我們先看 c code:. Unsigned int test=0x00800000;. Int test s;. Test s = ( int)test 8 ) 8;. 除去 prologue 或 epilogue 的部份,我們來看主體:. 61c: 46 00 08 00 sethi $r0,#2048. 620: 14 0e 7f fd swi $r0,[$fp #-12]. 624: 04 0e 7f fd lwi $r0,[$fp #-12]. Swi $r0,[$fp #-12].

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jjhuang's Random Notes

This is my random notes of random topics or random data posted at random. Monday, May 30, 2016. 想像一下你現在有一套嵌入式系統軟硬體,你只能偵測外部輸入是高或低電位(也就是 GPIO),你要測量外部的方波的頻率,你要怎麼達成呢?我想你能夠達成的就是,固定時間,比方說每隔 1 µs 「偵測」一次訊號位準是高或低,然後標定由低變高以及由高變低的地方,並且計算這個「由低變高」的週期,再轉換成頻率吧?你還能想到更簡單精準的方式嗎?歡迎來挑戰。 可以計算頻率,圖中黑色的方波是你要計算頻率的波形,而橘色的方波代表了你讀取外部 GPIO 值的時間點,綠色就是讀取到的值。 (T 0 ) 是要計算的方波週期,從圖上的格子點來計算(假設一格式 1 µs),是 16 µs, (T s ) 是讀取 GPIO 的週期,是 4 µs,計算出來的頻率週期是 $T. 這裡 (T 0 = T c = 16 mu s ) , 咦?可以精確的計算出來方波頻率呢。 T 0 = 4 mu s, T s = 6 mu s, T c = 12 mu s ).

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