MATLAB_txtx

DCT and Image Compression In the JPEG image compression algorithm, the input image is divided into 8-by-8 or 16-by-16 blocks, and the two-dimensional DCT is computed for each block. The DCT coefficients are then quantized, coded, and transmitted. The JPEG receiver (or JPEG file reader) decodes the quantized DCT coefficients, computes the inverse two-dimensional DCT of each block, and then puts the blocks back together into a single image. For typical images, many of the DCT coefficients have values close to zero these coefficients can be discarded without seriously affecting the quality of the reconstructed image. The example code below computes the two-dimensional DCT of 8-by-8 blocks in the input image, discards (sets to zero) all but 10 of the 64 DCT coefficients in each block, and then reconstructs the image using the two-dimensional inverse DCT of each block. The transform matrix computation method is used.

基于扩展记忆的粒子群优化算法（Particle Swarm Optimization based on memory）(This paper combines SVM with improved PSO (Particle Swarm Optimization with Extended Memory, PSOEM) and then builds PSOEM-SVM forecasting model. The PSOEM searches the solution space intelligently and finds out the best one. Parameters in SVM are optimized by PSOEM, which implements automation of the parameter optimization avoiding the blindness of selecting parameters. Not only does it utilize the generalization feature of SVM, but enhance the global search ability of PSO (Particle Swarm Optimization). Thus, both accuracy and speed are increased at the same time.)

包括回归分析和概率统计，包括调制，解调，信噪比计算，FMCW调频连续波雷达的测距测角。( Including regression analysis and probability and statistics, Includes the modulation, demodulation, signal to noise ratio calculation, FMCW frequency modulated continuous wave radar range and angular measurements.)

求解线性方程组的超松弛(SOR)迭代法(Solving Linear Equations over-relaxation (SOR) iterative method)

Adaptive Huffman Coding and Decoding for Data Compression in MATLAB

Robust Control Design with MATLAB® 2nd 源码(Robust Control Design with MATLAB 2nd matlab Source)

滚动轴承故障诊断是机械故障检测中一个重要方面。使用小波包分析和包络分析相结合的方法提取轴承微弱振动信号, 克服了传统包络分析方法易丢失信号有效成分的缺点。包络信号的细化谱较好体现了轴承故障信息。(Bearing Fault Diagnosis of mechanical fault detection in an important aspect. The use of wavelet packet analysis and envelope analysis method of combining extracts bearing vibration signal weak to overcome the traditional envelope analysis method easy to lose the signal disadvantage of the active ingredient. Refinement of the envelope signal spectrum better reflects the bearing fault information.)

这是MATLAB书中的完整的示例代码，是学习的很好的参考(This is a complete example of MATLAB book code, is a good reference to learn)

说明：  PID轨迹跟踪控制+PID专家系统轨迹跟踪控制(PID track control + PID expert system track control)

使用matlab实现的矢量量化的LBG算法，内有文档说明(Matlab achieved using the LBG vector quantization algorithm, there are documented)