estimate_AR

用matblab实现跳频信号的matblab信号仿真(Realization of the signals with matblab matblab signal simulation)

快速自适应非局部sar降斑，bm3d处理图像效果非常不错，但复杂度太高，本文针对bm3d复杂度太高这一缺点，对算法计算方面作出改善；通过源程序文件可以很清楚了解作者思想(Fast Adaptive nonlocal sar Despeckling, bm3d image processing effect is very good, but the complexity is too high, the paper is too high for this shortcoming bm3d complexity of computing algorithm to make improvements can clearly understand what the author thought through the source files)

提出了一种改进的积分梳状(CIC) 滤波器. 在改变传统积分梳状滤波器的延迟因子的 同时,将锐化(Sharpen) 技术和相位分解技术应用于此滤波器. 改进后的滤波器与传统滤波器 相比,减少了信号失真,降低了系统功率消耗. 仿真结果表明,改进后的滤波器在通带范围内的 波动很少,而且,具有较高的阻带衰减.(An improved Integrator Comb (CIC) filter. In changing the traditional integral comb filter delay factor, we will Sharpen (Sharpen) technology and phase decomposition technique used in this filter. Improved filtering Compared with the traditional filter device to reduce the signal distortion and reduces system power consumption. The simulation results show that the improved pass-band filter in the framework of the volatility of small and with high stopband attenuation.)

用于人脸识别的LDA和PCA特征提取方法的Matlab代码，结合两个程序可以实现PCA+LDA特征提取方法。(LDA and PCA is a common methods of feature selection,These are their source code using matlab. )

产生ALPHA稳定分布信号matlab函数。适用于仿真带有尖峰的噪声信号。(ALPHA stable distribution signals generated matlab function. For the simulation of the noise signal with a spike.)

基于MATLAB-GUI图形界面的数字图像处理软件 (MATLAB-GUI graphical user interface based on digital image processing software of the system )

大名鼎鼎赫蒙.西金的经典著作《自适应信号处理》（第4版）对应的仿真实验程序和课后习题详细解答。适合研究生学习或工程技术人员参考！(Famous Hmong. Xijir classic " Adaptive Signal Processing" (4th edition) the corresponding simulation procedures and after-school exercise in detail. Suitable post-graduate study or engineering and technical personnel reference!)

编程珠玑（第二版）中英双语版，附源代码，是本不错的代码优化指导书(Abas Programming (second edition) in both Chinese and English version, with source code, is the good code optimization guide book)

说明：  多个变流器并联仿真模型，MATLAB模型(Multiple converters simulation model)

This demonstration uses the Fuzzy Logic Toolbox to design a Fuzzy Inference System (FIS) using different defuzzification methods