tomcat_dist

Matlab Coce for PCA 3

该文档包含了深度学习中的矢量化编程方式和程序示例(this document contain vectorization exercise of deep learning network)

matlab Mutual information 源代码(matlab Mutual information source code)

用于进行prony模态识别，注意这里含有文件处理的过程，在时域中效果很好(prony estimation)

这是对音频新训好进行bch编码后加入有色噪声的程序(This is the new audio training good for BCH adding color coding procedures noise)

In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterative method which alternates between performing an expectation (E) step, which computes the expectation of the log-likelihood evaluated using the current estimate for the latent variables, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then used to determine the distribution of the latent variables in the next E step.

SEPIC converter in MATLAB

这时用matlab编写的图像压缩程序，希望对大家有帮助(Image compression )

implementation of OFDM

kalman滤波器的通俗讲解，kalman滤波器的通俗讲解，kalman滤波器的通俗讲解，kalman滤波器的通俗讲解，(Popular explain kalman filter, kalman filter the popular explanation, kalman filter the popular explanation, kalman filter the popular explanation,)