用matlab編寫的 Hidden Markov Modelling 工具包 應(yīng)用便捷 在國外網(wǎng)站找到的 還不錯
上傳時間： 2013-07-26
上傳用戶：ywqaxiwang
近年來，隨著DSP技術(shù)的快速發(fā)展，數(shù)字視頻處理技術(shù)得到了越來越廣泛的應(yīng)用。邊緣檢測是是數(shù)字視頻處理中的一項(xiàng)關(guān)鍵技術(shù)，而且是進(jìn)行對象檢測和識別的基礎(chǔ)。本文首先分析了當(dāng)前發(fā)展比較成熟的幾種邊緣檢測算法，然后針對基于DSP的數(shù)字視頻處理系統(tǒng)的特點(diǎn)選用Laplacian of Gaussian（LoG）邊緣檢測算法，并在基于DM642的數(shù)字視頻處理系統(tǒng)上實(shí)現(xiàn)，給出了仿真的結(jié)果。
上傳時間： 2013-11-15
上傳用戶：familiarsmile
提出一種用于多載波蜂窩移動通信系統(tǒng)的子信道合并切換算法。采用多維Markov 鏈對子信道合并切換算法進(jìn)行系統(tǒng)建模分析，得到了呼叫阻塞率、切換阻塞率等關(guān)鍵系統(tǒng)性能參數(shù)的解析結(jié)果。與切換保護(hù)信道算法相比，子信道合并切換算法在對其他類型呼叫性能影響很小的前提下，改善了對帶寬要求較高的業(yè)務(wù)的切換性能。該算法還可以與其他資源預(yù)留切換算法相結(jié)合，改善其性能。
標(biāo)簽： 多載波 多業(yè)務(wù) 蜂窩移動通信
上傳時間： 2013-11-02
上傳用戶：wangw7689
這個軟件支持Bayesian衰退和分類模形，它基于神經(jīng)系統(tǒng)網(wǎng)絡(luò)和Gaussian作用。它也包括一些根本的程序?qū)崿F(xiàn)有限和無限混合的模型。
上傳時間： 2015-01-14
上傳用戶：Altman
matlab的圖像處理。圖像編碼（HUFFMAN編碼）小波變換，1、 分別用sobel、Laplacian-Gaussian方法對一幅灰度圖像進(jìn)行邊緣提取
標(biāo)簽： HUFFMAN matlab 圖像處理 圖像編碼
上傳時間： 2015-03-31
上傳用戶：zhichenglu
Models UWB TX and RX using BPSK fifth derivative. MATLAB Release: R13 Description: This m file models a UWB system using BPSK with the fifth order derivative of the gaussian pulse with correlation receiver and intgrator.
標(biāo)簽： Description derivative Release Models
上傳時間： 2015-05-08
上傳用戶：zhliu007
This program demonstrates some function approximation capabilities of a Radial Basis Function Network. The user supplies a set of training points which represent some "sample" points for some arbitrary curve. Next, the user specifies the number of equally spaced gaussian centers and the variance for the network. Using the training samples, the weights multiplying each of the gaussian basis functions arecalculated using the pseudo-inverse (yielding the minimum least-squares solution). The resulting network is then used to approximate the function between the given "sample" points.
標(biāo)簽： approximation demonstrates capabilities Function
上傳時間： 2014-01-01
上傳用戶：zjf3110
this demo is to show you how to implement a generic SIR (a.k.a. particle, bootstrap, Monte Carlo) filter to estimate the hidden states of a nonlinear, non-Gaussian state space model.
標(biāo)簽： a.k.a. bootstrap implement particle
上傳時間： 2014-11-10
上傳用戶：caozhizhi
The software implements particle filtering and Rao Blackwellised particle filtering for conditionally Gaussian Models. The RB algorithm can be interpreted as an efficient stochastic mixture of Kalman filters. The software also includes efficient state-of-the-art resampling routines. These are generic and suitable for any application.
標(biāo)簽： filtering particle Blackwellised conditionall
上傳時間： 2013-12-17
上傳用戶：zsjzc
zemax源碼： This DLL models a standard ZEMAX surface type, either plane, sphere, or conic The surface also demonstrates a user-defined apodization filter The filter is defined as part of the real ray trace, case 5 The filter can be used at the stop to produce x-y Gaussian apodization similar to the Gaussian pupil apodization in ZEMAX but separate in x and y. The amplitude apodization is of the form EXP[-(Gx(x/R)^2 + Gy(y/R)^2)] The transmission is of the form EXP[-2(Gx(x/R)^2 + Gy(y/R)^2)] where x^2 + y^2 = r^2 R = semi-diameter The tranmitted intensity is maximum in the center. T is set to 0 if semi-diameter < 1e-10 to avoid division by zero.
標(biāo)簽： standard surface models either
上傳時間： 2013-12-05
上傳用戶：003030
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