CCS樣式選擇符，初學(xué)者，設(shè)計，DW，網(wǎng)頁制作，大一作業(yè) 部分預(yù)覽： <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> <html xmlns="http://www.w3.org/1999/xhtml"> <head> <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /> <title>CSS樣式選擇符</title> <style type="text/css"> body { background-image:url(images/%E8%83%8C%E6%99%AF%E5%9B%BE%E7%89%87.jpg); background-repeat:repeat; } .class1 { text-align:center; font-weight:bolder; } .class2 { font-family:"仿宋"; text-indent:8em; } .class3 { font-size:18px; font-family:"宋體"; text-indent:4em; } #id1 { font-family:Zombie, Verdana, "Comic Sans mS"; font-style:oblique; font-size:64px; } #id2 { font-family:"黑體"; font-size:36px; } #id3 { color:#F69; font-weight:bolder; text-shadow:#FCC; } </style> </head> <body> <table width="780" height="1555" border="0" cellspacing="0" align="center" bgcolor="#FFFFFF"> <tr height="30"> <td align="center"><img src="images/頂部圖片.jpg" /></td> </tr>
標簽： CCS 網(wǎng)頁設(shè)計
上傳時間： 2017-12-07
上傳用戶：圈圈Ace
幫助有效的解決一級考試的資料復(fù)習(xí)題，下載后安裝，還有pdf文檔幫助學(xué)習(xí)選擇題這類的
標簽： Office
上傳時間： 2017-12-21
上傳用戶：純虛函數(shù)
The 4.0 kbit/s speech codec described in this paper is based on a Frequency Domain Interpolative (FDI) coding technique, which belongs to the class of prototype waveform Interpolation (PWI) coding techniques. The codec also has an integrated voice activity detector (VAD) and a noise reduction capability. The input signal is subjected to LPC analysis and the prediction residual is separated into a slowly evolving waveform (SEW) and a rapidly evolving waveform (REW) components. The SEW magnitude component is quantized using a hierarchical predictive vector quantization approach. The REW magnitude is quantized using a gain and a sub-band based shape. SEW and REW phases are derived at the decoder using a phase model, based on a transmitted measure of voice periodicity. The spectral (LSP) parameters are quantized using a combination of scalar and vector quantizers. The 4.0 kbits/s coder has an algorithmic delay of 60 mS and an estimated floating point complexity of 21.5 MIPS. The performance of this coder has been evaluated using in-house MOS tests under various conditions such as background noise. channel errors, self-tandem. and DTX mode of operation, and has been shown to be statistically equivalent to ITU-T (3.729 8 kbps codec across all conditions tested.
標簽： frequency-domain interpolation performance Design kbit_s speech coder based and of
上傳時間： 2018-04-08
上傳用戶：kilohorse
css美化有序列表，貼出部分css代碼 <ol > <li>先涂粉底再涂防曬</li> <li>先涂防曬再涂粉底</li> </ol> <!doctype html> <html> <head> <title>CSS3 ordered list styles - demo</title> <style> body{ margin: 40px auto; width: 500px; } /* -------------------------------------- */ ol{ counter-reset: li; list-style: none; *list-style: decimal; font: 15px 'trebuchet mS', 'lucida sans'; padding: 0; margin-bottom: 4em; text-shadow: 0 1px 0 rgba(255,255,255,.5); } ol ol{ margin: 0 0 0 2em; } /* -------------------------------------- */
上傳時間： 2018-08-22
上傳用戶：53660542
projcet2007模板內(nèi)容豐富，項目計劃的編輯習(xí)慣，界面布局，時間計算的規(guī)則，任務(wù)的依賴關(guān)系等都和mS Project非常接近，用戶會用mS Project，就會用我們的計劃編輯功能。
上傳時間： 2019-02-19
上傳用戶：自由自在xc
關(guān)于晶習(xí)預(yù)測，各種立場優(yōu)化與結(jié)構(gòu)文件的優(yōu)化與分析
標簽： 軟件教學(xué) 幫助掌握軟件的操作與運行！！！！！！！！！！！！！
上傳時間： 2019-04-23
上傳用戶：caicai123
mS8XF系列單片機常見問題解決辦法，仿真器常見問題 ，燒錄器及燒錄器軟件常見問題 等
標簽： mS 常見問題
上傳時間： 2019-06-11
上傳用戶：jdz8888
%========================開始提取加噪信號的各類特征值================================ for n=1:1:50; m=n*Ns; x=(n-1)*Ns; for i=x+1:m; %提取加噪信號'signal_with_noise=y+noise'的前256個元素，抽取50次 y0(i)=signal_with_noise(i); end Y=fft(y0); %對調(diào)制信號進行快速傅里葉算法（離散） y1=hilbert(y0) ; %調(diào)制信號實部的解析式 factor=0; %開始求零中心歸一化瞬時幅度譜密度的最大值gamma_max for i=x+1:m; factor=factor+y0(i); end mS=factor/(m-x); an_i=y0./mS; acn_i=an_i-1; end gamma_max=max(fft(acn_i.*acn_i))/Ns
標簽： matlab 神經(jīng)網(wǎng)絡(luò)算法 通信信號 調(diào)制識別
上傳時間： 2020-04-07
上傳用戶：如拷貝般復(fù)制
%========================開始提取加噪信號的各類特征值================================ for n=1:1:50; m=n*Ns; x=(n-1)*Ns; for i=x+1:m; %提取加噪信號'signal_with_noise=y+noise'的前256個元素，抽取50次 y0(i)=signal_with_noise(i); end Y=fft(y0); %對調(diào)制信號進行快速傅里葉算法（離散） y1=hilbert(y0) ; %調(diào)制信號實部的解析式 factor=0; %開始求零中心歸一化瞬時幅度譜密度的最大值gamma_max for i=x+1:m; factor=factor+y0(i); end mS=factor/(m-x); an_i=y0./mS; acn_i=an_i-1; end gamma_max=max(fft(acn_i.*acn_i))/Ns
標簽： matlab 神經(jīng)網(wǎng)絡(luò)算法 通信信號 調(diào)制識別
上傳時間： 2020-04-07
上傳用戶：如拷貝般復(fù)制
The General Packet Radio Service (GPRS) allows an end user to send and receive data in packet transfer mode within a public land mobile network (PLMN) without using a permanent connection between the mobile station (mS) and the external network during data transfer. This way, GPRS opti- mizes the use of network and radio resources (RRs) since, unlike circuit- switched mode, no connection between the mS and the external network is established when there is no data flow in progress. Thus, this RR optimiza- tion makes it possible for the operator to offer more attractive fees.
上傳時間： 2020-05-27
上傳用戶：shancjb
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