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Description: 本工具箱可配合语音数据库使用，用于计算线性预测语音模型的参数，语音声调转换，语音自动解析分解，语音语速变换及更改发音的重音，音量，清晰度等。配套图书《Speech Processing and Synthesis
Toolboxes》已经出版，翻译进行中！ -the Toolbox can be used with voice database used in the calculation of linear prediction model parameters voice, Voice Tone conversion, automatic speech decomposition analysis, voice speaking transform and change accented pronunciation, volume, clarity, and so on. Accompanying book "Speech Synthesis and Processing Toolbox es "has been published for the translation!
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Author: chunchiu |
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Description: 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.-this demo is to show you how to implement a ge neric SIR (a.k.a. particle, the bootstrap. Monte Carlo) filter to estimate the hidden stat es of a nonlinear. non-Gaussian state space model.
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Author: 大辉 |
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Description: CHMMBOX, version 1.2, Iead Rezek, Oxford University, Feb 2001
Matlab toolbox for max. aposteriori estimation of two chain
Coupled Hidden Markov Models.
-CHMMBOX, version 1.2, Iead Rezek, Oxford University, Feb 2001 Matlab toolbox for max. aposteriori es timation of two chain Coupled Hidden Markov Mod els.
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Author: Joyce |
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Description: GUIDE es un entorno de programación visual disponible en MATLAB para
realizar y ejecutar programas que necesiten ingreso continuo de datos. Tiene las
características básicas de todos los programas visuales como Visual Basic o Visual
C++.
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Author: zhaocuiqin |
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Description: M=4的PSK通信系统进行蒙特卡罗仿真
仿真BPSK和4PSK调制信号在高斯信道下的性能，并与理论分析结果相比。
(1) 画出两条性能曲线，一条是根据理论平均错误概率画出，另一条是仿真曲线；
(2) 程序的基本流程：信源产生信息比特、调制、将调制信号送入信道(产生高斯白噪声的程序)、接收端检测、将检测结果与信源原始信息比较计算误符号率和误比特率；
(3) 在给定信噪比下，第二步需多次重复，以得到一个平均错误概率；
(4) 信噪比范围：BPSK(0dB – 10dB)，4PSK(0dB-14dB)，间隔是1dB 也可在BER=10-6左右终止。
(5) 信噪比计算 SNR=10log(Es/N0)=10log(REb/N0).
-仿真BPSK和4PSK调制信号在高斯信道下的性能，并与理论分析结果相比。
(1) 画出两条性能曲线，一条是根据理论平均错误概率画出，另一条是仿真曲线；
(2) 程序的基本流程：信源产生信息比特、调制、将调制信号送入信道(产生高斯白噪声的程序)、接收端检测、将检测结果与信源原始信息比较计算误符号率和误比特率；
(3) 在给定信噪比下，第二步需多次重复，以得到一个平均错误概率；
(4) 信噪比范围：BPSK(0dB – 10dB)，4PSK(0dB-14dB)，间隔是1dB 也可在BER=10-6左右终止。
(5) 信噪比计算 SNR=10log(Es/N0)=10log(REb/N0).
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Author: leon |
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Description: Joaquin Goñ i <jgoni@unav.es> &
Iñ igo Martincorena <imartincore@alumni.unav.es>
University of Navarra - Dpt. of Physics and Applied Mathematics &
Centre for Applied Medical Research. Pamplona (Spain).
December 13th, 2007. Information Theory Toolbox v1.0
The Toolbox includes:
-entropy
-conditional entropy
-mutual information
-redundancy
-symmetric uncertainty
-Kullback-Leibler divergence
-Jensen-Shannon divergence
type help for each command to get a detailed description
Citation:
If you use them for your academic research work,please kindly cite this
toolbox as:
Joaquin Goñ i, Iñ igo Martincorena. Information Theory Toolbox v1.0.
University of Navarra - Dpt. of Physics and Applied Mathematics &
Centre for Applied Medical Research. Pamplona (Spain).
-Joaquin Goñ i <jgoni@unav.es> &
Iñ igo Martincorena <imartincore@alumni.unav.es>
University of Navarra- Dpt. of Physics and Applied Mathematics &
Centre for Applied Medical Research. Pamplona (Spain).
December 13th, 2007. Information Theory Toolbox v1.0
The Toolbox includes:
-entropy
-conditional entropy
-mutual information
-redundancy
-symmetric uncertainty
-Kullback-Leibler divergence
-Jensen-Shannon divergence
type help for each command to get a detailed description
Citation:
If you use them for your academic research work,please kindly cite this
toolbox as:
Joaquin Goñ i, Iñ igo Martincorena. Information Theory Toolbox v1.0.
University of Navarra- Dpt. of Physics and Applied Mathematics &
Centre for Applied Medical Research. Pamplona (Spain).
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Author: le thanh tan |
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Description: Matlab implementation of the ES (extensive search algorithm ) used in motion estimation of macro blocks.
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Author: naim12345 |
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Description: Prowler simulador, es una gui que permite simular en capa fisica redes inalambricas
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Author: dablan2 |
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Description: implimentation sous matlab
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Author: belly13 |
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Description: they are matlab code for evolutionary strategy (ES), (ES(1+1), ES(1,1),ES(mu,lambda),ES(mu+lambda), I hope they are useful for you
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Author: marzieh |
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Description: 数字减影血管造影( DSA) 通过向血管中注入造影剂, 使血管的整体影像的对比度有了明显的增强, 然后通
过造影前后图像的相减运算, 可以去除非血管器官的影像, 得到血管更清晰的图像, 目前广泛应用于心血管疾病的
诊断。由于患者的呼吸运动, 使得不同时间采集的图像相减后会产生运动伪影。为了消除运动伪影, 从医生临床上
对于心脏的运动以胸腔的横膈膜为参考目标得到启发, 首先得到很多幅注入造影剂之前的图像( 掩膜图像) 和一幅
注入造影剂之后的图像( 造影图像) , 然后指定其中的一幅掩膜图像作为参考图像, 其它的掩膜图像和那一幅造影图
像分别对参考图像求位移。基于上面求出的位移, 可以将候选图像集中到位移小于某一阈值的很少的几幅图像上,
然后在这几幅图像上应用改造过的搜索算法, 最终找到了运动伪影最小的那幅掩膜图像。该算法引入了绝对位移
和相对位移相结合的方法使减影图像中运动伪影得到明显消除。-In dig ital subtr action ang io gr aphy ( DSA) , the co nt rast of the v essels is gr eatly improv ed w ith the injectio n
of contrast medium. In addit ion, mo re clear vessels can be visualized by eliminating the imag es o f non vessel or gans,
and those imag es ar e called subtr action imag e o r DSA. Therefo re, DSA is o f w ide use for diag no sis o f car dio vascular
disease. Subtr action of imag es o bt ained befo re and after injection of contrast medium may cr eat e mo tion art ifacts due
to the aspiratio n o f pat ient s. In this reg ard, being motiv ated by the docto rs ex per ience that t he displacement of dia
phragm can be used as the reference to measur e the hear t beat, we present a method to eliminate the mot ion ar tifacts.
In o ur method, fir stly , a set of DSA imag es are taken befo re injection o f contr ast medium, w hich are called mask
images! and one imag e taken after injection o f contrast is called targ et image! . Seco
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Author: xingxing |
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Description: De John s second equation using Evolutionary strategies(ES)-De John s second equation using Evolutionary strategies(ES)...
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Author: ahmad |
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Description: E.S. Gopi.Algorithm collections for digital signal processing applications using matlab. 对算法实现进行了详细介绍。-ES Gopi.Algorithm collections for digital signal processing applications using matlab. On the algorithm described in detail.
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Author: zhangt |
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Description: 嵌入维数自适应最小二乘支持向量机
状态时间序列预测方法
Condition Time Series Prediction Using Least Squares Support Vector Machine
with Adaptive Embedding Dimension
针对航空发动机状态时间序列预测中嵌入维数难于有效选取的问题, 提出一种基于嵌入维数自适应
最小二乘支持向量机( L SSVM ) 的预测方法。该方法将嵌入维数作为影响状态时间序列预测精度的重要参
数, 以交叉验证误差为评价准则, 利用粒子群优化( P SO ) 进化搜索LSSV M 预测模型的最优超参数与嵌入维
数, 同时通过矩阵变换原理提高交叉验证过程的计算效率, 并最终建立优化后的L SSVM 预测模型。航空发
动机排气温度( EGT ) 预测实例表明, 该方法可自适应选取适用于状态时间序列预测的最优嵌入维数且预测
精度高, 适用于航空发动机状态时间序列预测。- T o deal wit h the difficulty of selecting an appro pr iate embedding dimension for aeroeng ine co ndition
time series predictio n, a metho d based o n least squar es suppo rt vecto r machine ( L SSVM ) with ada ptive em
bedding dimension is pro po sed. I n the method, the embedding dimensio n is identified as a parameter that af
fects the accuracy o f the aer oengine condition time series predictio n par ticle sw arm o ptimizat ion ( P SO) is ap
plied to optimize the hyperpar ameter s and embedding dimension of the L SSV M pr edict ion model cro ssv alida
tion is applied to evaluate the perfo rmance o f the L SSVM predictio n mo del and matr ix tr ansfo rm is applied to
the L SSVM pr ediction model tr aining to accelerate the crossvalidation evaluation pro cess. Ex periments on an
aeroengine ex haust g as t emperatur e ( EGT ) predictio n demonst rates that the metho d is hig hly effective in em
bedding dimension selection. In compar ison w ith co nv
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Description: 针对港口拖轮调度所设计的遗传混合局部搜索算法代码，优化拖轮调度方案，matlab语言编写-Port tugboats are designed for scheduling the genetic code hybrided with local search algorithm to optimize the scheduling program,written by Matlab
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Author: sqq |
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Description: matlab 的二次指数平滑法程序（Exponential Smoothing，ES） 希望对大家会有用-matlab secondary exponential smoothing procedure (Exponential Smoothing, ES)
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Author: ls |
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Description: 结合DOA估计中最常用的两个算法MUSIC和ESPRIT的优点，富有MATLAB如按程序-Combined with the most common advantages of the two algorithms MUSIC and ESPRIT DOA Estimation
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Author: edgard |
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Description: 1.设定种群个体数和需要迭代的次数。
2.选择父代中的个体按照公式z1=sqrt(-2*ln(u1))*sin(2*pi*u2)*m，z2=sqrt(-2*ln(u1))*cos(2*pi*u2)*m进行演化。
这里u1,u2都是随机值，m是控制因子，演化次数越多m，m越小，父代通过与z1，z2相加得到后代。
3.计算后代的适应性。
4.选择后代中最优的适应性作为全局最优适应性。(1. set the number of individuals in the population and the number of iterations required.
2. select the individual in the parent to evolve according to formulas z1=sqrt (-2*ln (U1)), *sin (2*pi*u2), *m, z2=sqrt (-2*ln (U1)), *cos (2*pi*u2), *m.
Here, U1, U2 are random values, M is the control factor, the more the number of evolution, m, the smaller the m, the parent by adding Z1, Z2, to get future generations.
3. calculate the adaptability of offspring.
4., choose the best adaptability among the offspring as the global optimum.)
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Author: Maxxxxx
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Description: evolution strategy code for matlab.
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Author: yiren1105
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Description: CMA-ES source code in Matlab
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Author: Chengjun |
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