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The discrete cosine transform (DCT) is a technique for converting a signal into elementary frequency components. It is widely used in image compression. Here we develop some simple functions to compute the DCT and to compress images. These functions illustrate the power of Mathematica in the prototyping of image processing algorithms. The

Brain mri segemantaion code using matlab

正确率可以达到98％，匹配追踪和正交匹配追踪，基于分段非线性权重值的Pso算法。( Accuracy can reach 98 , Matching Pursuit and orthogonal matching pursuit, Based on piecewise nonlinear weight value Pso algorithm.)

多目标非线性约束的粒子群算法，采用灰度理论，混沌理论，动态惩罚函数，可针对任何复杂函数进行优化，效果很好(Nonlinear constrained multi-objective particle swarm algorithm, using gray theory, chaos theory, dynamic penalty function can be optimized for any complex function, the effect is very good)

好文章，用于初学者学习matlab工具箱(A good article for beginners to learn matlab toolbox)

求最短路问题，matlab程序可运行，还有word详细讲解最优截断切割(Seeking the shortest path problem, matlab program can be run, as well as the word explain in detail the optimal cut-off cutting)

基于相位差法改变窗长的频谱校正程序，适用于单频率信号的校正(Phase method to change the window length based on the spectrum correction procedure for a single frequency signal correction )

This program compute Fourier,Cosine & Sine Transforms

自适应波束形成算法中，LMS算法和RLS算法的性能分析与比较优劣性(Adaptive beamforming algorithm, LMS algorithm and RLS algorithm performance analysis and compare the advantages and disadvantages of)

窗函数法设计一个数字带通FIR滤波器，小波包分析提取振动信号中的特征频率，PLS部分最小二乘工具箱。( A window function design FIR digital band-pass filter, Wavelet packet analysis to extract vibration signal characteristic frequency, PLS PLS toolbox.)