Final-project

说明：  人脸识别程序，主要运用了harr-like算法，在matlab下运行(Face recognition program, the main use of the harr-like algorithm to run in matlab)

基于差分进化的粒子群优化算法，（全局最优粒子群优化算法）(Based on differential evolution particle swarm optimization, (global optimization PSO))

This file is a impoementation of a Self Orgazing Maps

上传的MATLAB代码是music算法在线阵和空间任意阵列下的形式，也可以将两者进行对比。(Upload music algorithm MATLAB code is any line array and space under the form of an array, you can also compare the two.)

本文主要介绍了用模糊自适应卡尔曼滤波技术实现惯导和GPS的数据融合。(This paper presents a fuzzy adaptive Kalman filter technology for inertial navigation and GPS-data fusion.)

说明：  对原始噪声图像进行空间域图像增强,对比通过加法，减法，乘法，除法，对数变换，灰度变换，线性滤波，直方图均衡，中值滤波等算法的实现效果(Noise on the original image space domain image enhancement, contrast through the addition, subtraction, multiplication, division, logarithmic transform, gray level transformation, linear filtering, histogram equalization, median filtering algorithm results)

清音的对数幅度谱，短时过零率，平均能量，基音周期(Voiceless logarithmic amplitude spectrum, short-term zero crossing rate, average energy, pitch period)

一个mimo相关的仿真器(a mimo related Simulator)

无刷电机电磁设计程序,包含空载和负载时的磁路工作点的校正(bldc design )

实现维纳滤波用于语音增强。第一步采用频域谱函数计算最佳的维纳滤波器，再对输入带噪信号进行滤波；第二步是在此基础上的改进，用了自适应的思想，及时根据当前帧的状态更新修正滤波器的系统函数，得到更精确的无噪语音信号。第三步是采用自适应LMS方法，在时域迭代计算滤波器系数，迭代次数足够多时可得到较准确的有用信号。(Implement wiener filtering used in speech enhancement. First step optimum wiener filter is obtained by using the frequency spectrum function, again to input the signal with noise filtering The second step is the improvement on the basis of this, with the idea of adaptive, and in a timely manner according to the current frame updates correction system function of the filter, get a more accurate without noise speech signal. The third step is to use the adaptive LMS method, iterative calculation in time domain filter coefficient, the number of iterations enough to get the useful signal accurately.)