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基于MATLAB小波消噪，有很大作用，一代二代三代(MATLAB Wavelet-based de-noising, there is a great role in generation of the second generation of three generations)

dex to jar 0.7.5 version

简单的基于matlab的启发式搜索算法。(The matlab simulation method of heuristic search algorithm。)

matlab计算两幅图片之间的psnr和ssim值，彩色图片，算法是转换为YUV计算的，YCbCr(matlab computing psnr and ssim value between two pictures, color pictures, the algorithm is converted to YUV calculation, YCbCr)

matlab绘制阵列正六边形。采用坐标方法。(Draw a regular hexagon array matlab. Using coordinate methods.)

图1为均衡带限信号所引起失真的横向或格型自适应均衡器(其中横向FIR系统长M=11), 系统输入是取值为±1的随机序列，其均值为零；参考信号；信道具有脉冲响应： 式中用来控制信道的幅度失真(W = 2～4, 如取W = 2.9,3.1,3.3,3.5等)，且信道受到均值为零、方差(相当于信噪比为30dB)的高斯白噪声的干扰。试比较基于下列几种算法的自适应均衡器在不同信道失真、不同噪声干扰下的收敛情况(对应于每一种情况,在同一坐标下画出其学习曲线): 1）横向/格-梯型结构LMS算法 2）横向/格-梯型结构RLS算法 并分析其结果。(Figure 1 is a band-limited signal caused balanced horizontal or lattice distortion adaptive equalizer (FIR system in which the lateral length M = 11), the system input is the value of a random sequence of ± 1, mean zero reference signal channel has impulse response: Wherein the amplitude of the distortion for the control channel (W = 2 ~ 4, and so as to take W = 2.9,3.1,3.3,3.5), and subjected to a channel with zero mean and variance (equivalent SNR is 30dB) Gaussian white noise. Compare the following types of algorithm-based adaptive equalizer in a different channel distortion, the convergence of different noise interference (corresponding to each situation, draw their learning curve in the same coordinate): 1) landscape/grid- LMS algorithm ladder structure 2) landscape/grid- RLS algorithm ladder structure And analyze the results.)

file dll very important to run spike undefr matlab code.

Visual C++_MATLAB图像处理与识别实用案例精选+源代码(Visual C++ _MATLAB image processing and recognition of practical case selection+ Source Code)

超声仿真软件，基于MATLABB，用于声束合成技术可直接使用。 (Ultrasound simulation software, based on MATLABB for beam synthesis technique can be used directly.)

通过介绍判断分析的相关内容，提供了相关的算法，很好，很全面(By introducing the judgments of the relevant content, providing the relevant algorithm, very good, very comprehensive)