zhengqiang

说明：  matlab科学计算继续上传，一共10个章节，由浅入深，几乎包括了绝大部分的科学计算方法以及仿真。本人把部分算法做了优化，更为完善(matlab scientific computing continue to upload a total of 10 chapters, easy-to-digest, almost, including most of the scientific method of calculation and simulation. I have done a part of algorithm optimization, a more perfect)

说明：  一个关于随机二进制M序列的一种产生的程序(M on a random binary sequence generated by a procedure)

说明：  不同温度及光照强度下的光伏电池外特性，V-I曲线P-V曲线(External characteristics of photovoltaic cells under different temperature and light intensity, the VI curve of PV curve)

利用QAM调制，传送声音，还可以扩展用于传送文本和普通二进制序列(use QAM modulation, the transmission of voice, but also can be extended for the transmission of texts and the general binary sequence)

此模型为双向DCDC，可用于电池充放电，燃料电池升降压模拟等。采用PWM控制IGBT管占空比。可直接运行，在其基础上修改简单(This model is a bidirectional DCDC, which can be used for battery charging and discharging, fuel cell buck-boost simulation. PWM control of the IGBT tube duty cycle. Can be run directly, modify it on the basis of simple)

针对基于小波变换的红外图像增强方法视觉效果不够理想的缺点, 提出了一种基于平稳小波变换和Retinex 的红外图像增强方法, 利用Retinex 增强算法增强图像的视觉效果, 并改善其亮度均匀性。首先, 对红外图像经平稳小波变换后的最大尺度低频子带图像进行多尺度Retine x 增强 然后, 利用贝叶斯萎缩阈值法对高频子带图像进行阈值去噪, 并根据低频子带图像的局部对比度和模糊规则计算高频子带的增益系数, 从而得到增强后的高频子带图像 最后, 由低频子带图像和高频子带图像重构得到增强后的图像。针对大量图像进行了实验和增强效果的定性与定量评价, 并与双向直方图均衡法、二代小波变换法、Curvelet 变换法和多尺度Retinex法作了比较。结果表明, 所提出的方法增强了图像细节, 抑制了噪声, 并明显改善了图像的整体视觉效果。(As infrared image enhancement method based on wavelet transformation has the problem of unperfect visual effect , and Retinex enhancement algorithm can enhance visual effect of the image by improving brightness uniformity , amethod based on stationary wavelet transformation and Retinexis proposed.Firstly , the infrared image is decomposed into high-frequency detail and low-frequency approximation components at various resolutions, and the low frequency subband image of the largest scale is enhanced by multiscale Retinex algorithm.Then, the highfrequency subband images are denoised by Bayesian shrinkage method, and the gain coefficients of high-frequency subbands are available by calculating the local contrast of the enhanced low-frequency subband based on fuzzy rules to get the enhanced high-frequency subband images .Finally, the enhanced image is reconstructed by the low-frequency subband and high-frequency subbands .Experiments with qualitative and quantitative uation are carried ou)

说明：  粒子群算法求解约束多目标优化万能matlab代码。本代码是基于有约束条件的寻优问题，采用APSO可以加快寻优的速度，修改参数比较简单，目标函数和上下限根据自身的需要进行改动，，可以实现目标函数的寻优(Particle swarm algorithm for solving constrained multi-objective optimization universal matlab code. This code is based on the optimization problem with constraints. Using APSO can speed up the optimization process. It is relatively simple to modify the parameters. The objective function and the upper and lower limits are changed according to their own needs. The optimization of the objective function can be achieved.)

Designs an FIR filter given a desired frequency response H_des(w). The design is judged by the maximum absolute error (Chebychev norm). This is a convex problem (after sampling it can be formulated as an SOCP). minimize max |H(w) - H_des(w)| for w in [0,pi] ( where H is the frequency response function and variable is h (the filter impulse response). )

时间序列来做预测，过程很适合初学者懂的。很详细，很容易的！(Time series to make the forecast, the process is very suitable for beginners understand. Very detailed, easy! )

MATLAB 下的LDPC编码解码，自己编写，在7/0下通过验证(Decoding LDPC codes under MATLAB, I have written, in 7/0, validated)