Human-Computer-Interaction---3rd-Edition-by---ALA

扩展卡尔曼滤波的算法程序，里面包含了一阶和二阶的ekf预测M文件，希望对大家有帮助(EKF extended kalman filter matlab filter algorithm,can be used to 1st order Extended Kalman Filter prediction step, 1st order Extended Kalman Filter update step,2nd order Extended Kalman Filter prediction step ,2nd order Extended Kalman Filter update step)

spectrum sensing in cognitive radio

利用MATLAB对PID算法进行模拟仿真的算法介绍，编程实例等。涉及了很多具体的PID控制领域的例子。(Using MATLAB simulation algorithm introduced the PID algorithm, and programming examples. Involves a lot of specific examples in the field of PID control.)

自己编的使用小波实现的纹理图像分割，具体过程是先对图像进行三级小波分解，每级都对系数聚类并指导下一级分类，分割效果较好~ (own addendum to the use of wavelet achieve the texture image segmentation, specific process is the first image wavelet decomposition three each of the levels are right and clustering coefficients under the guidance of a classification, segmentation better ~)

C++大作业，编写一个account类实现基类派生类之间的各种关系。主要用于初学者对于类的理解。(C++ big job, write a class that implements account the various relationships between the base class derived class. The main class for beginners to understand.)

自相关法基音检测的MATLAB代码。自相关法计算速度较快的自相关函数法检测语音的基音频率，有效剔除了高频共振峰和噪音的影响，其估计基音频率准确性高，稳定性好，运算速度较快。(CAMDF)

matlab遗传算法源代码来对函数优化进行运算(matlab genetic algorithm source code for function optimization computing)

陆振波的SVM的MATLAB代码的解释，很详细的。(The bo of SVM MATLAB code explanation)

Median filter to image denoise (matlab)

说明：  ：该文首先研究了单认知用户能量检测算法的检测性能和检测灵敏度与检测时长和噪声短时间内平均功率波 动性之间的关系，得出检测性能和检测灵敏度随噪声短时间内平均功率波动性的增大而急剧下降的结论，在低信噪 比时尤为明显；针对检测性能和检测灵敏度随噪声短时间内平均功率波动性的增大而急剧下降，提出了基于多用户 协同能量检测算法。仿真表明，在低信噪比环境下，即使噪声短时间内的平均功率存在较大的波动性，只要适当地 增加协同检测的用户数，仍可获得较为准确的检测性能。(In this paper, detection performance and detection sensitivity with detection duration and noise average power fluctuation in short time is investigated firstly. Performance accuracy and detection sensitivity drop quickly with noise average power fluctuation increasing and it is worse when signal-to-noise ratio lower. Considering the characteristic, a novel new energy detection algorithm based on cooperative is presented. Simulations show that the proposed scheme improves antagonism of noise average power fluctuation in short time and gets a good detection performance as long as increasing the number of cooperative detection users.)