myGlobalisedNewton

particle fileter实现了一个最简单的sir滤波器(particle fileter achieved one of the most simple filter sir)

this is matlab exercise solved

说明：  模态频率和阻尼比计算可用机械行业，交通行业MODAL FREQUENCY AND DAMPING RATIO ( MODAL FREQUENCY AND DAMPING RATIO)

说明：  Matlab里利用非线性偏最小二乘法对于玉米光谱数据进行分析，有讲解(The nonlinear partial least square method is used to analyze the spectral data of maize in Matlab.)

為了幫助大夥兒升級，我們為現在的Apache使用者提供了一份重要訊息的文檔說明。這些只是一些簡要說明，你可以從新特性文檔或src/CHANGES文件中得到更多訊息。

Basics in Image Processing using MATLAB

An electric meters are used everywhere to calculate the consumption of power. Wireless meter reading technology can save human resources and another feature of this kind of meter is, it improve the accuracy since it works on real time application, enabling management sector to access to data messages within a short period of time and accurately. Due to its wireless communication network, it just not save human and material resources but this property leads to most economical meter in terms of investment. In this paper, power consumed by the consumer is monitored by base stations through wireless network. It aims to reduce the man power for billing since the meter reading is transmitted through ZigBee and at base stations we calculate bill, save records of consumers. The most important part of this project is that we can monitor any fault in meter as well as any tempering which is used to steal the electricity.

三电平三相三线制APF，在dq坐标系下进行电流环的控制，采用无差拍加前馈解耦的控制策略，调制方式采用svpwm方法，matlab2006b,高版本可能需要更换低通滤波器(Three-level three-phase three-wire APF, in the dq coordinate control current loop, using deadbeat plus feedforward decoupling control strategy, modulation using svpwm method, matlab2006b, high version may need to replace the low-pass filter)

说明：  EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分（忽略高阶项），常常导致在状态的后验分布的估计上产生较大的误差，影响滤波算法的性能，从而影响整个跟踪系统的性能。最近，在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器（Unscented Kalman Filter-UKF）。UKF的思想不同于EKF滤波，它通过设计少量的σ点，由σ点经由非线性函数的传播，计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精度。 (EKF only uses non-linear function of the first-order Taylor expansion of some partial derivatives (ignoring higher order terms), often leading to the posterior distribution of the state estimates to generate large errors affect the performance of filtering algorithms, which affect the whole tracking system performance. Recently, the field of adaptive filtering algorithms and the emergence of new- and tasteless transform Kalman filter (Unscented Kalman Filter-UKF). EKF UKF filter is different from the idea that it points through the design of a small amount of σ by σ point spread through the nonlinear function to calculate the random vector first and second order statistical properties of the transmission. Therefore it is better than the EKF filter nonlinear characteristics equation of state approach, which is more than the EKF filter estimation accuracy.)

this programe for count path loss from power level in transmission media. with walfish ikegami method and implement with semolog graphic.it can show the maximum pathloss in propagation