Evaluating-Transfer-Capability-with-Optimal-Power

文章展示了基于高斯混合模型的语音频谱预测方法。频谱预测可能在传包过程中预防丢包这方面起到大作用。期望最大化算法用两倍或三倍的连续语音因素来测试模型。模型被用来设计第一，儿等指令预测量。预测表用频谱分配状态来估计并和一个简单的参考模型对比。最好的预测表得到一个平均频率扭曲值是0.46dB小于参考模型(This paper presents methods for speech spectrum prediction based on Gaussian mixture models. Spectrum prediction may be useful in a packet transmission system where the sensitivity to packet losses is a major problem. Models of speech are trained by the Expectation Maximization algorithm using pairs, triples etc. of consecutive cepstral vectors. The models are used to design first, second etc. order predictors. The prediction schemes are evaluated using the spectral distortion criterion and compared to a simple reference method. The best prediction scheme obtains an average spectral distortion that is 0.46 dB less than for the reference method. )

说明：  基于MP（matching pursuit匹配追踪）算法的信号的稀疏分解，实现简单信号的稀疏分解(Based on MP (matching pursuit matching pursuit) algorithm sparse decomposition, sparse decomposition of simple)

Data Encryption by Matrix Multiplication We will only use numbers 0 to 26 for the encryptive mathematics operation. Numbers from 1 to 26 are for letters from A to Z and 0 is for all non-letter characters. To minimize usage of numbers, all letters are converted to upper case. The original message is converted to number array according to the ASCII table and minus 64. We partition whole array into blocks of 8 numbers. The last block may be added several zeros. Then multiply each block by the an 8x8 matrix A which is invertible in Z27 to get cipher data. The decryption is the same process except to use its inverse matrix B. For good visual reading, we convert all non-letter characters to under score for the decryption.

radar problems and solutions

模式识别分类器的设计，此为fisher法源码，经调试通过。所用数据为标准IRIS。(Pattern recognition classifier design, the source for the fisher law, adopted by the debugger. Data used as the standard IRIS.)

用matlab实现自适应信号处理中的LCMV（8阵元） 和 v步LMs 算法。 (Adaptive signal processing using matlab to achieve the LCMV (8 array element) and v step LMs algorithm.)

微波与天线，课程中基于MATLAB的虚拟实验。对上课很有帮助(Microwave and antenna, the virtual experiment based on MATLAB course. Very helpful for class)

说明：  实现一阶Keystone变换，包含三种方法，分别是DFT+IFFT方法，sinc插值方法和chirp-Z方法(Three algorithms for perform keystone transform, including DFT+IFFT, sinc interpolation and chirp-z transform.)

Input Image to GUI matlab

龙格库塔法源码 解决问题的matlab例程(Runge-Kutt ode45)