SimpleLocalization22

有关机动目标跟踪，卡尔曼滤波相关的资料，对从事卡尔曼滤波研究，机动目标跟踪的朋友有参考价值 (The maneuvering target tracking, Kalman filtering relevant information, engaged in Kalman filtering, target tracking friends have reference value)

八种典型雷达辐射源信号仿真，包括不同参数的信号仿真，可用于信号分选等的雷达信号分析(eight typical radar emitter signals simulation,including the signals with different parameter. this signal can be used for signal deinterleaving)

criminisi pro for image inpainting

高斯信道、莱斯信道和瑞利信道的误码率分析(Gaussian channel, Rice channel and Rayleigh channel the analysis of BER )

图形图象中dct变换中用到的反zigzag扫描原代码是基于matlab中的开发(graphic images used Copy transform the anti-Zigzag scanning source code, which is based on Matlab Development)

利用遗传基因算法对SVM-RFE算法进行优化，从而获取更优异的特征，提高检测率，该算法的SVMtrain利用matlab自带的函数(The use of genetic algorithms to optimize the SVM-RFE algorithm, in order to gain more excellent features, improve the detection rate of the algorithm using matlab comes SVMtrain function)

LOCAL BINARY PATTERNS

说明：  利用双线性变换法设计一个级联型的椭圆IIR滤波器，对一段含噪语音信号进行滤波去噪处理并根据滤波前后的波形和频谱分析滤波性能。本课程设计仿真平台为MATLAB7.0，开发工具是M语言编程。首先在Windows下用录音机工具录制一段语音信号，并人为加入一单频噪声，然后对信号进行频谱分析以确定所加噪声频率，并设计滤波器进行滤波去噪处理，最后比较滤波前后的波形和频谱并进行分析。(Bilinear transformation method is used to design a cascade elliptic IIR filter, for a period of noise speech signal filtering denoising processing and according to the waveform and spectrum analysis of filtering performance before and after filtering. This course design simulation platform for the MATLAB7.0, development tools is M language programming. First under Windows tool to record a voice signal, a tape recorder and deliberately added a single frequency noise, and then the signal to determine the added noise frequency spectrum analysis, and design the filter for filtering denoising processing, finally compared before and after the waveform and spectrum of filtering and analyzed. )

结合PCA的尺度不变特征变换(SIFT)算法，基于kaiser窗的双谱线插值FFT谐波分析，可实现对二维数据的聚类。( Combined with PCA scale invariant feature transform (SIFT) algorithm, Dual-line interpolation FFT harmonic analysis kaiser windows, Can realize the two-dimensional data clustering.)

matlab 编写 红外弱小目标检测，适合在小范围小目标中做检测，本代码应调试完成，可以直接根据文件中readme.txt运行代码。主要原理是找到图片中最大峰值并予以表示出来。(Matlab writing infrared dim small target detection, suitable for small range of small targets to do the test, the code should be debugged, you can directly run the code in accordance with the file readme.txt. The main idea is to find the maximum peaks in the picture and represent them.)