Báo cáo toán học: " DWT and LPC based feature extraction methods for isolated word recognition" pptx

... (UWLPC/DWLPC) features. Figure 4. D-WSCMN performance for different LPC orders p on clean TI-20 database. Figure 3 Figure 2 DWT and LPC based feature extraction methods for isolated word ... LPCC and WLPC (UWLPC/DWLPC) features for different LPC order were also estimated and presented in Figure 3. These results prove that the performance of WLPC (UWLP...

Ngày tải lên: 20/06/2014, 20:20

... other hand, for larger number of sink-source pairs, the central region consisting of center cell and the cells at the first and/ or second hexagonal rings can achieve better performance. For this ... advantages and challenges of using mobile sinks in WSNs. Next, we introduce our virtual infrastructure based on honeycomb tes- sellation and the protocol based on it, hexagonal cell...

Ngày tải lên: 20/06/2014, 20:20

... Standard specification for telecommunications and information exchange between roadside and vehicle systems–5 GHz band dedicated short range communications (DSRC) medium access control (MAC) and ... source and a destinat ion and to maintain the link between them for the whole period of communication. To solve the aforementioned problems, we propose a novel MAC protocol called cl...

Ngày tải lên: 20/06/2014, 22:20

... headword and modifier. Through the experiment, we hope to find out what influence the exact headword information, the heuristic information of headword and modifier, and the physical position information ... history and objective feature types Class Feature type PIQ(Y;R) History feature type Y= headword of the parent 2.3253 Y= the first word in the objective word sequence 3....

Ngày tải lên: 20/02/2014, 18:20

... p 0 and p 1 with the time index for each batch, formally, we have p 0 (t) and p 1 (t) for the tth batch. Given a term w, we use a sliding window of length L to estimate p 0 (t) and p 1 (t) for ... news corpus, and extensive experiments show the proposed methods are both ef- fective and efficient. 2 Burst -based Text Representation In this section, we describe the proposed bu...

Ngày tải lên: 23/03/2014, 14:20

... v-Order feature as the same as the square root of the var feature. mAV N x k k N = = ∑ 1 1 (1) xandx orxandx and x x kk kk kk >< {} <> {} −≥ ++ + 0000 11 1 ) e (2) xxandxx orxxandxx and ... effort reduced the classification accuracy of all individual features except for ZC and slopSign. Training the classifier on high-effort data yielded the lowest classification perfo...

Ngày tải lên: 19/06/2014, 08:20

... computational cost and the performance. Based on the ROC curves, we evaluated the perfor- mances of the proposed LRT VAD based on the MP coefficients (LRT-MP) by comparing with the popular LRT VADs based ... transform (DFT) domain by classifying each sound frame into speech or noise based on the DFT coefficients. These coefficients are used as features in VAD, and thus the robustn...

Ngày tải lên: 20/06/2014, 21:20

... have other attributes and values in common. fla=gla asserts that f and g have all attributes and values in common other than a; they may or may not have values for a and those values may ... Syntax, Semantics, and Implementation, Tititsee, Federal Republic of German. [Kaplan and Bresnan, 1982] Ronald Kaplan and Joan Bresnan. Lexical-functional grammar: A formal system...

Ngày tải lên: 18/03/2014, 02:20

... right-continuous, and thus, is continuous. By (11) and (14), we have ηk ≤ f u (0, x) ≤ k, and so −(1 −η) k ≤ f u (0, x) −k ≤ 0 for every 10 Figure 1: Infinite beam on nonlinear and non-uniform elastic ... C q (R) if u ∈ C q (R) for q = 0, 1, 2, . . (F2) f(u, x) ·u ≥ 0, and f u (u, x) ≥ 0 for every u, x ∈ R. (F3) For every υ ≥ 0, sup x∈R, |u|≤υ   ∂ q f ∂u q (u, x)   <...

Ngày tải lên: 20/06/2014, 20:20

... exists m ≥ 0 such that β(t) ≥ ϕ ∗ for all t ∈ I − and β  (t) = m ≥ max y ≤max I β f(t, β(t), y) for a.a. t ∈ I 0 . Therefore, α and β are lower and upper solutions for problem (1).  Example 5 ... that β (t) ≥ k(t) for all t ∈ I − and β  (t) = m ≥ max y ≤max I β(t) f(y) for all t ∈ I 0 . (25) So we deduce from (24) and (25) that α and β are lower and upper solutions...

Ngày tải lên: 20/06/2014, 20:20