mainy

transmission matrix method for 1d photonic crystals. 可计算透射谱 反射谱 场分布图 cvf下编译 可跨平台(transmission matrix method for 1d photonic crystals. Computable transmission spectrum reflection spectrum field distribution under the CVF compiler can be cross-platform)

基于图像预处理的DCT数字水印算法及其MATLAB实现,作者：QQ 64134703 ，电子毕业设计，欢迎咨询 (DCT-based image preprocessing for digital watermarking algorithm and MATLAB implementation of: QQ 64134703, e-graduate design, please consult)

Efficient Generalized Colored image Enhancement

matlab中编写的一个计算PI参数的程序，可以自动整定控制系统的PID参数(PID controller caculate)

通过matalb实现语音信号的处理，完成预加重、加窗函数、端点检测及生成处理后语音样本(Achieved by processing the speech signal matalb, complete the pre-emphasis, windowing function, voice activity detection and generation after sample processing)

语音信号的处理，包括录音，短时能量，同态滤波等(Speech signal processing, including recording, short-term energy, homomorphic filtering)

数字下变频器的matlab仿真，包括基带信号的调制，然后经过混频模块、CIC模块、FIR模块最后得到基带信号的过程。很多地方都批有详细的注释，很容易理解。(Digital down converter matlab simulation, including the modulation baseband signal, and then after mixing module, CIC module, FIR module finally get baseband signal process)

利用矩量法求解海伦积分方程，并给出电流分布。(Method of moments to solve the the Helen integral equation, and given current distribution.)

空间平滑多信号分类角度估计算法MATLAB实现(Multiple signal classification spatial smoothing angle estimation algorithm based on MATLAB realization)

A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.(A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.)