raised cosine 中文意思是什麼
-
Fpga and dvb standard are introduced firstly, dvb - c standard and composition of its system are analyzed completely, development of modulator structure and dvb - c digital modulator composition are presented, more over, analysis of respective modular are given. then, principle of dvb - c digital modulator system are presented, they are error control technique 、 mqam 、 nyquist rule and root raised cosine filter 、 window design method for fir filter 、 multi - rate signal processing ( integer interpolating, conversion of fractional sampling, equal conversion of net structure, polyphase structure for filter, poly - phase structure for interpolator, multi - stage implementation of samplying conversion ) 、 distrubited algorithm 、 cic filter 、 dds 、 cordic algorithm
接著，專門利用一個章節闡述了dvb - c前端調制系統原理，他們了差錯控制技術、多進制調制（ mqam ） 、 nyquist準則與平方根升餘弦濾波器、有限沖擊響應濾波器的窗函數設計法、多抽樣率信號處理包括（整數倍內插原理、分數倍抽樣率轉換、網路結構的等效結構、濾波器的多相表示、內插器的多相表示、抽樣率轉換的多級實現） 、分散式演算法、 cic濾波器、直接數字頻率合成（ dds ） 、 cordic演算法。 -
On the base of above it, this paper discuss the synthesis of optimum distributed arrays by nonuniform spacing in the sense of dolph - chebyshev. having derived the equations of optimum element distribution, we analyze the exponentially spaced array, which are optimum when the elements are isotropic and equally weighted, and the array by general raised cosine function. the formulate for estimating the sidelobe envelope, beamwidth of the array pattern and clean region width are obtained
推導了最佳陣元分佈方程，分別對陣元無方向性和等加權時的最佳分散式陣列? ?指數間隔陣列和採用廣義升餘弦加權的最佳分散式陣列進行了分析，推導了天線方向圖旁瓣包絡、波束寬度，干凈掃描區寬度的估計公式，給出了近軸旁瓣電平與陣列參數的關系。 -
The emphasis of the thesis is base - band signal shaping and programmable interpolation algorithm. we introduce the basic theory of base - band signal shaping, and the effect of the digitizing of the ideal raised cosine rollof signal g ( t ) is attentioned. the shaping filter parameters are determined based on the system specifications, and the simulation results are given
首先從降低鄰近碼間干擾原則出發，討論了基帶成形的基本原理與升餘弦滾降濾波器的時頻特性，重點分析將理想的滾降波形g （ t ）數字化后對頻譜的影響，並且根據系統指標，確定了各項參數，給出了具體的設計舉例和模擬結果。 -
Their learning and training rules have been analyzed profoundly and their abilities to approximate arbitrary nonlinear function have been testified and compared by the simulation. a new rbf neural network has been presented which uses a raised - cosine function as activation transfer function. it provides a wider generalization in comparison with gaussian rbf neural networks by simulation as well as strong approximation ability, fast convergence, a rule to select the parameters of the networks
本文詳細研究了兩種典型的前向神經網路（ bp網路和rbf網路）的學習和訓練演算法，提出了一種新穎的基於緊支集餘弦函數的徑向基神經網路，其克服了常用的高斯型rbf神經網路雖具有緊支集但各基函數非正交的不足，其收斂速度快、網路參數選取有理論依據且相比于高斯型rbf神經網路具有更強的泛化能力，模擬驗證了其有效性。
分享友人