ABC_eld

说明：  是Contemporary Communication Systems using MATLAB该书中的MATLAB代码(Contemporary Communication Systems using MATLAB is the MATLAB code in the book)

关于LTE上行SC-FDMA介绍，包括系统框架设计及原理(SC-FDMA on the uplink LTE Introduction )

qpsk调制解调实验，详细介绍了调制解调的原理，深入理解理论知识(qpsk modulation and demodulation experiment, described in detail the principles of modulation and demodulation, in-depth understanding of the theoretical knowledge)

一篇很好的将滑模控制与扩展卡尔曼控制结合的控制策略文章和源程序(A very good file with sliding mode control extended the Calman control )

A Matlab Project in Optical Character Recognition (OCR)

详细介绍基于OFDM的各种信道估计算法及其复杂度和适用性。(This application note gives an overview of the channel estimation strategies used in orthogonal frequency division multiplexing (OFDM) systems.)

matlab函数,运算符速查，doc格式(matlab function Quick Fact)

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.)

bp神经网络matlab算法，实现网络的训练与预测(bp neural network train the networks and predict via the networks)

Torque motor induced back-emf calculation (Matlab with user-friendly GUI)