Classes composed of directed Weighted graph.
標(biāo)簽： composed directed Weighted Classes
上傳時(shí)間： 2017-04-22
上傳用戶：Yukiseop
This is a file for calculating the Weighted PSNR in matlab
標(biāo)簽： calculating Weighted matlab This
上傳時(shí)間： 2014-08-10
上傳用戶：894898248
fem nonlinear source code using Weighted residuals
標(biāo)簽： nonlinear residuals Weighted source
上傳時(shí)間： 2017-08-04
上傳用戶：gonuiln
2 vectors with integer elements. The program is for their Weighted average. Labview
標(biāo)簽： elements Weighted vectors integer
上傳時(shí)間： 2017-08-24
上傳用戶：大三三
在現(xiàn)代通信系統(tǒng)中，電話語(yǔ)音的頻帶被限制在300 Hz～4 kHz的范圍內(nèi)，帶來(lái)了語(yǔ)音可懂度和自然度的降低。為了在不增加額外成本的前提下提高語(yǔ)音的可懂度和自然度，進(jìn)行了電話語(yǔ)音頻帶擴(kuò)展的研究。提出了一種改進(jìn)的基于碼本映射的語(yǔ)音帶寬擴(kuò)展算法：在碼本映射的過(guò)程中，使用加權(quán)系數(shù)來(lái)得到映射碼本。客觀測(cè)試結(jié)果表明，用此算法得到的寬帶語(yǔ)音的譜失真度比用一般的碼本映射降低至少2%。主觀測(cè)試結(jié)果表明，用此算法得到的寬帶語(yǔ)音具有更好的可懂度和自然度。 Abstract: In modern communication systems， the bandwidth of telephone speech is limited from 300Hz to 4 kHz， which reduces the intelligibility and naturalness of speech. Telephone speech bandwidth extension is researched to get wideband speech and to improve its intelligibility and naturalness， without increasing extra costs. This paper put forward an improved algorithm of speech bandwidth extension based on codebook mapping. In the process of codebook mapping， Weighted coefficients were used to get mapping codebook. Objective tests show that spectral distortion of wideband speech obtained by this algorithm reduces at least 2%， comparing to conditional codebook mapping. Subjective tests show that the wideband speech obtained by this algorithm has better intelligibility and naturalness.
標(biāo)簽： 映射 帶寬 擴(kuò)展 語(yǔ)音
上傳時(shí)間： 2014-12-29
上傳用戶：15501536189
Computes the hafnian of a nonnegative integer matrix. Notes: Copy hafnian.c to main.c, in the same directory as Rothberg s code (see above). You can download the .tar directory with the code Weighted-match.tar here. Then "make" the codes (this codes are in C, not C++). The program is then run by the command "wmatch".
標(biāo)簽： hafnian nonnegative the Computes
上傳時(shí)間： 2013-12-23
上傳用戶：lmeeworm
We propose a novel approach for head tracking, which combines particle filters with Isomap. The particle filter works on the low-dimensional embedding of training images. It indexes into the Isomap with its state variables to find the closest template for each particle. The most Weighted particle approximates the location of head. We develop a synthetic video sequence to test our technique. The results we get show that the tracker tracks the head which changes position, poses and lighting conditions.
標(biāo)簽： approach combines particle tracking
上傳時(shí)間： 2016-01-02
上傳用戶：yy541071797
Noncoherent receivers are attractive for pulsed UWB systems due to the implementation simplicity. To alleviate the noise effect in detecting UWB PPM signals, this letter proposes a simple yet flexible Weighted noncoherent receiver structure, which adopts a square-law integrator multiplied with a window function.
標(biāo)簽： implementation Noncoherent attractive simplicity
上傳時(shí)間： 2013-12-01
上傳用戶：wys0120
The toolbox solves a variety of approximate modeling problems for linear static models. The model can be parameterized in kernel, image, or input/output form and the approximation criterion, called misfit, is a Weighted norm between the given data and data that is consistent with the model. There are three main classes of functions in the toolbox: transformation functions, misfit computation functions, and approximation functions. The approximation functions derive an approximate model from data, the misfit computation functions are used for validation and comparison of models, and the transformation functions are used for deriving one model representation from another. KEYWORDS: Total least squares, generalized total least squares, software implementation.
標(biāo)簽： approximate The modeling problems
上傳時(shí)間： 2013-12-20
上傳用戶：15071087253
ClustanGraphics聚類分析工具。提供了11種聚類算法。 Single Linkage (or Minimum Method, Nearest Neighbor) Complete Linkage (or Maximum Method, Furthest Neighbor) Average Linkage (UPGMA) Weighted Average Linkage (WPGMA) Mean Proximity Centroid (UPGMC) Median (WPGMC) Increase in Sum of Squares (Ward s Method) Sum of Squares Flexible (ß space distortion parameter) Density (or k-linkage, density-seeking mode analysis)
標(biāo)簽： ClustanGraphics Complete Neighbor Linkage
上傳時(shí)間： 2014-01-02
上傳用戶：003030
蟲蟲下載站版權(quán)所有 京ICP備2021023401號(hào)-1
