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数学计算 This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hier
This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that n ...
matlab例程 ％ EM algorithm for k multidimensional Gaussian mixture estimation ％ ％ Inputs: ％ X(n,d) - input da
％ EM algorithm for k multidimensional Gaussian mixture estimation
％
％ Inputs:
％ X(n,d) - input data, n=number of observations, d=dimension of variable
％ k - maximum number of Gaussian components allowed
％ ltol - percentage of the log likelihood difference between 2 iterations ([] for none)
％ ...
matlab例程 用Fourier变换求取信号的功率谱---周期图法 用Fourier变换求取信号的功率谱---分段周期图法 用Fourier变换求取信号的功率谱---welch方法 功率谱估计----多窗口法（
用Fourier变换求取信号的功率谱---周期图法
用Fourier变换求取信号的功率谱---分段周期图法
用Fourier变换求取信号的功率谱---welch方法
功率谱估计----多窗口法（multitaper method ,MTM法）
功率谱估计----最大熵法（maxmum entmpy method,MEM法）
功率谱估计----多信号分类法（multiple signal classification,music法） ...
其他 Versatile visual servoing without knowledge of true jacobian.pdf cobian matrix estimator. The Jacob
Versatile visual servoing without knowledge of true jacobian.pdf cobian matrix estimator.
The Jacobian matrix estimator does not need a priori
knowledge of the kinematic structure and parameters
of the robot system, such as camera and link parameters.
The proposed visual servoing control scheme ensu ...
matlab例程 The kernel-ica package is a Matlab program that implements the Kernel ICA algorithm for independent
The kernel-ica package is a Matlab program that implements the Kernel
ICA algorithm for independent component analysis (ICA). The Kernel ICA
algorithm is based on the minimization of a contrast function based on
kernel ideas. A contrast function measures the statistical dependence
between components ...
matlab例程 PRINCIPLE: The UVE algorithm detects and eliminates from a PLS model (including from 1 to A componen
PRINCIPLE: The UVE algorithm detects and eliminates from a PLS model (including from 1 to A components) those variables that do not carry any relevant information to model Y. The criterion used to trace the un-informative variables is the reliability of the regression coefficients: c_j=mean(b_j)/std ...
压缩解压 ) Compression using huffman code -with a number of bits k per code word -provide huffma
) Compression using huffman code
-with a number of bits k per code word
-provide huffman table
Huffman coding is optimal for a symbol-by-symbol coding with a known input probability distribution.This technique uses a variable-length code table for encoding a source symbol. The table is d ...
其他书籍 Abstract—In this paper, we propose transform-domain algorithms to effectively classify the characte
Abstract—In this paper, we propose transform-domain algorithms to
effectively classify the characteristics of blocks and estimate the strength
of the blocky effect. The transform-domain algorithms require much
lower computational complexity and much less memory than the spatial
ones. Along with the ...
论文 基于频率插值的4.0kbps 语音编码器的性能和设计（英文）
The 4.0 kbit/s speech codec described in this paper is based on a
Frequency Domain Interpolative (FDI) coding technique, which
belongs to the class of prototype waveform Interpolation (PWI)
coding techniques. The codec also has an integrated voice
activity detector (VAD) and a noise reduction capabi ...
书籍 Femtocells+Technologies+and+Deployment
In cellular networks, it is estimated that
2
3
of calls and over 90% of data services occur
indoors. However, some surveys show that many households and businesses experience
a poor indoor coverage problem. It has been identified that poor coverage is the main
reason for churn, which is very costly ...