PCA_ORL

I have thoroughly study the basic of image compression techniques. From that I have selected SPIHT algorithm for my research work. I have implemented on image compression for gray images using SPIHT algorithm. Image compression is implemented using this algorithm has better result over the previous result on gray images and also improved PSNR value high but on other side low result on compression ratio.

卡尔曼滤波算法的一个例子，注释详尽，训练测试分开编写，带有详尽数据，可以用来深刻理解kalman算法(Kalman filter algorithm examples, detailed notes, training tests prepared separately, with detailed data that can be used to a deep understanding of kalman algorithm)

《电力系统的MATLAB-SIMULINK仿真与应用》 王晶等编 2008年(Power system MATLAB-SIMULINK simulation and application Jing, eds 2008)

tangent bug is usefull for use it

this code contain hmm speech recognition

The fusion of high-spectral/low-spatial resolution multispectral and low-spectral/high-spatial resolution panchromatic satellite images is a very useful technique in various applications of remote sensing. Recently, some studies showed that a wavelet-based image fusion method provides high quality spectral content in fused images. However, most wavelet-based methods yield fused results with spatial resolution that is less than that obtained via the Brovey, IHS, and PCA fusion methods. In this paper, we introduce a new method based on a curvelet transform, which represents edges better than wavelets. Since edges play a fundamental role in image representation, one effective means to enhance spatial resolution is to enhance the edges. The curvelet-based image fusion method provides richer information in the spatial and spectral domains simultaneously. We performed Landsat ETM+ image fusion and found that the proposed method provides optimum fusion results.

说明：  离散信源无失真信源编码（实现huffman编码） 可用于教学(Discrete source lossless source coding (to achieve huffman coding) can be used for teaching)

Local directional pattern has implemented to extract texture multi orientation

二维卷积运算 能够实现图片的卷积处理 绝对原创(Absolute original two-dimensional convolution)

DTW（Dynamic Time Warping，动态时间归整）算法，该算法基于动态规划（DP）的思想，解决了发音长短不一的模板匹配问题，是语音识别中出现较早、较为经典的一种算法。(DTW (Dynamic Time Warping, Dynamic Time Warping) algorithm based on dynamic programming (DP) ideas, to solve the pronunciation of different lengths of the template matching problem, is the speech recognition appeared in the early, more of a classical algorithm.)