tttttttttlpc.m

说明：  应用在认知无线电频谱检测中。环境：经过加性白噪声的信号。功能：求解虚警概率和漏检概率。(Used in cognitive radio spectrum detection.Environment: after additive white noise signal.Function: to solve the false alarm probability and missed detection probability.)

冈萨雷斯 数字图像处理（matlab） 用图 非常适合学习matlab数字图像处理的人(Gonzalez Digital Image Processing (Matlab) using maps very suitable for the study of digital image Matlab the people)

算术编码实例，matlab编写的简单编码过程(encode symbol)

描述系统（有输入和无输入），通过系统状态矩阵判断系统稳定性，可控性，可观性(Describe the system (with input and no input), the system state matrix to determine the system stability, controllability, observability)

image statistic and image processing

matlab中利用矩量法求解Hallen方程仿真八木天线并得到天线方向图与增益。(In the MATLAB, the Hallen equation is solved by the method of moments, and the Yagi antenna is simulated, and the antenna pattern and gain are obtained.)

上传一个word档的联邦式扩展卡尔曼粒子滤波算法，大家学习粒子滤波有益，为了使联邦滤波器够有效处理非高斯、非线性系统的状态估计问题，提出将扩展卡尔曼粒子滤波引入联邦滤波结构中，得到一种新的联邦式扩展卡尔曼粒子滤波算法.使用扩展卡尔曼粒子滤波对联邦滤波子系统的多源数据进行处理，从而摆脱了经典卡尔曼滤波的限制，拓宽了联邦滤波器的实际应用范围.将联邦式扩展卡尔曼粒子滤波算法应用于非线性滤波器的一个标准验证模型进行了仿真实验，结果表明该算法是有效性的.(Abstract: A new particle filter(Federated Extend Kalman Particle Filter，EKF-FPF) is proposed to estimate the state of Non-Gaussian and Non-Linear system for federated filter, in which extend kalman particle filer is introduced to federated filter so that the information fusion of subsystem can be solved by the non-gaussian and non-linear filer. By doing so, the federated filter can get rid of the disadvantage of the ordinary kalman filter to extend its application field. The simulation results of the standard testing model demonstrate the feasibility of the proposed algorithm.)

Fminsearch不承认的约束限制。 不过简单的转换方法存在 转换成一个绑定的约束问题 无约束问题。 Fminsearchbnd用于酷似fminsearch， 除了边界应用到变量。 应用于国内的界限，利用 改造中的变量。 （二次型 单式，双罪恶界（十）。） 具有包容性的不平等的界限，它承认 边界值本身，但不准 在所有函数之外的范围评估。 请注意，fminsearchbnd允许用户准确地固定在某个给定值通过设置一个变量的确切范围相同的值。(Fminsearch does not admit bound constraints. However simple transformation methods exist to convert a bound constrained problem into an unconstrained problem. Fminsearchbnd is used exactly like fminsearch, except that bounds are applied to the variables. The bounds are applied internally, using a transformation of the variables. (Quadratic for single bounds, sin(x) for dual bounds.) The bounds are inclusive inequalities, which admit the boundary values themselves, but will not permit ANY function evaluations outside the bounds. Note that fminsearchbnd allows the user to exactly fix a variable at some given value, by setting both bounds to the exact same value.)

condensation code for tracking multiple people based on bayesian framework

markov chain for reliability and risk management