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详细讲解了小波变换原理，运用。matlab的小波工具箱等。对初学者有较大的帮助。(Elaborate on the principles of wavelet transform, apply. matlab wavelet toolbox and so on. For beginners, a greater help.)

LPC denemesi ç alı ş maz

bluetooh and embedded sysstem conference paperss

Before run, install Emgu CV 2.9 and Visual 2012

2PSK建模常用的，就是用来构建一个BPSK模型。(2PSK modeling of commonly used, is used to construct a model of BPSK.)

包括最后计算压缩图像的峰值信噪比和压缩效果的源码,计算两个矩阵之间的欧氏距离，IDW距离反比加权方法。( Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, Calculation of the Euclidean distance between the two matrices, IDW inverse distance weighting method.)

Principal component analysis (PCA) is a popular tool for linear dimensionality reduction and feature extraction. Kernel PCA is the nonlinear form of PCA, which is promising in exposing the more complicated correlation between original high-dimensional features. In this paper, we first talk about the basic ideas of PCA and kernel PCA, and then focus on the reconstruction of pre-images for kernel PCA. We also give an introduction on how PCA is used in active shape models (ASMs), and discuss how kernel PCA can be applied to improve traditional ASMs. Then we show some experiment results to compare the performance of kernel PCA and traditional PCA for pattern classification. We also implement the kernel PCA-based ASMs, and use it to construct human face models.

通过matlab仿真工具仿真分析了APSK调制方式在典型的加性高斯白噪声下的传输性能(Through simulation matlab simulation tool analyzes APSK modulation in a typical additive white Gaussian noise transmission performance)

this is aircraft power network cotrol system.

双馈风力发电机simulink模型，可以成功运行，波形可用。(The Simulink model of the doubly fed wind generator can be successfully operated and the waveform is available.)