gmm.pdf.tar

this Program utilized a new method for generation codebook in Hidden Markov Models (HMM). Hybrid HMM and neural networks have been applied to improve recognition in speech processing.

find Optimal point of camel function with simulated annealing.

详细分析了LDPC码的解码过程，解码方法和解码步骤(Detailed analysis of the LDPC code decoding process, decoding method and decoding steps)

Packet-dropfunction functionfunction function

gm2对上下变动的数据，预测效果比gm1好，但对趋势较好的数据，预测精度没有gm1高。(gm2 on the up and down movements of the data to predict better than gm1 good, but better data on trends, forecast accuracy not gm1 high)

通过地震波输入数据运用精确法生成反应谱数据，并绘出反应谱图像(response spectrum)

A multilevel boost converter based on a paper has simulatedA multilevel boost converter based on a paper has simulatedA multilevel boost converter based on a paper has simulated

部分实现了追踪测速迭代松弛算法，matlab开发工具箱中的支持向量机，主要是基于mtlab的程序，通过反复训练模板能有较高的识别率，利用贝叶斯原理估计混合logit模型的参数，BP神经网络用于函数拟合与模式识别，FIR 底通和带通滤波器和IIR 底通和带通滤波器。( Partially achieved tracking speed iterative relaxation algorithm, matlab development toolbox support vector machine, Mainly based on the mtlab procedures, Through repeated training jSOURGDlate have higher recognition rate, Bayesian parameter estimation principle mixed logit model, BP neural network function fitting and pattern recognition, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter.)

绘制科赫曲线，通过修改内部参数绘制不同迭代次数的曲线(Drawing Koch curve, by modifying the internal parameters of the curve plotted different iterations)

说明：  basic concepts of power system in simulink 3