houghcir2

在地震反演中需要进行流体替换的研究，流体替换中用到了gussmannn方程(Fluid replacement in the seismic inversion model, the three-tier model, fluid replacement used the gussmannn equation)

基于零速校正的行人定位代码，本人自己编写，有数据，运行通过，精度较高，可参考。(it s good)

通过MATLAB仿真实现梯度校正最小二乘法的验证。(Gradient through the MATLAB simulation verification correction least square method.)

射线追踪，比较基本的源代码，根据自己的需要调整后使用(Ray tracing,the basic source code, adjusted it before use according to your needs )

这是gsm系统中维特比的译码matlab仿真程序，上传给大家学习和参考。(This is the gsm system, Viterbi decoding matlab simulation program, upload for everyone to study and reference.)

图像配准程序，基于交互信息的图像配准程序(image registration usin Mutual Information)

采用DPCA检查运动目标，首先产生SAR回波，采用DPCA方法，对回波中包含的运动目标进行检测(The DPCA Check the moving target, first of all to produce the SAR echo, the use of the DPCA method, the detection of moving targets contained in the echo)

针对感应电机扩展卡尔曼滤波器转速估计中难以取得卡尔曼滤波器系统噪声矩阵和测量噪声矩阵最优值的问题，提出了一种基于改进粒子群算法优化的扩展卡尔曼滤波器转速估计方法。算法通过融合遗传算法和粒子群算法的优点，采用可调整的算法模型对粒子群算法进行改进，将改进的粒子群算法对扩展卡尔曼滤波器中的系统噪声矩阵和测量噪声矩阵进行优化处理，将优化后的卡尔曼滤波器应用于感应电机转速估计。( Extended Kalman Filter for induction motor speed estimation problem is difficult to obtain a Kalman filter system noise matrix and the measurement noise matrix optimal value proposed speed estimation method based on improved particle swarm optimization of the extended Kalman filter. By virtue of the genetic algorithm and particle swarm optimization algorithm fusion algorithm using the adjustable model PSO improvements that will improve the PSO extended Kalman filter system noise matrix and the measurement noise matrix optimization process, the optimized Kalman filter is applied to the induction motor speed estimate.)

说明：  The setting of the game is very simple: a bunch of people sitting at a round table throwing a dice at each turn, and things happen according to the value of the dice. We define moving right as moving forward on the linked list and moving left as moving backwards on the linked list.

Matlab下单字语音识别程序。Readme.txt中有使用方法的详细说明。(Vocabulary speech recognition under the program Matlab. Readme.txt in detail using the method.)