Linear-programming

计算高阶统计量的程序，包括WVD、伪WVD，平滑WVD(Calculation of higher-order statistics of the procedures, including the WVD, pseudo-WVD, smoothed WVD)

Matlab Code to filter data using the Least Mean Squares adaptive algorithm. processes an input WAV file and filters out noise according to the setup parameters

matlab codes for e-book: Stark 2005 Wavelets and Signal Processing

RFC1662 CRC-16 table generation and CRC checking. Implemented in embedded matlab with script to test and enable c/c++ code generation. Useful fo check against VHDL/Verilog and other embedded systems to help generate test vectors.

Hybrid DS-FH communication systems

使用自适应滤波器实现未知系统识别，里面包括 RLS法和LMS法(Unknown system using an adaptive filter to achieve recognition, which includes RLS method and the LMS method)

基于字典学习的语音增强中稀疏编码计算稀疏矩阵的一种算法，称作OMP。与一般的OMP不同，本程序针对列向量进行计算，结合给出的总体程序以及KSVD of speech enhancemant.rar文件可以进行字典学习语音增强。(Enhanced sparse coding algorithm to calculate a sparse matrix, called the dictionary-based learning OMP voice. OMP different with the general, the procedure for calculating the column vector, combined with the overall process and gives KSVD of speech enhancemant.rar dictionary file can learn speech enhancement.)

基于802.11a的物理层协议的OFDM传输系统的matlab仿真及一些源代码(Based on the 802.11a physical layer protocol of the OFDM transmission system simulation and some of the matlab source code)

目标跟踪仿真小程序，本程序简单易懂适合初学者学习和参考。(Small target tracking simulation program, the program simple and easy to understand for beginners learning and reference.)

The fusion of images is the process of combining two or more images into a single image retaining important features from each of the images. A scheme for fusion of multi-resolution 2D gray level images based on wavelet transform is presented in this paper. If the images are not already registered, a point-based registration, using affine transformation is performed prior to fusion. The images to be fused are first decomposed into sub images with different frequency and then information fusion is performed using these images under the proposed gradient and relative smoothness criterion. Finally these sub images are reconstructed into the result image with plentiful information. A quantitative measure of the degree of fusion is estimated by cross-correlation coefficient and comparison with some of the existing wavelet transform based image fusion techniques is carried out.