SVM_GUI_3.1[mcode]{by-faruto}

说明：  空时码的编码程序，包含不同码字的比较和多天线设计(STBC source code with MIMO)

以MATLAB將影像做邊緣偵測以及邊緣強化， 邊緣偵測分別為Prewitt以及Canny， 邊緣強化是將邊緣做銳利化(MATLAB will do to the image edge detection and edge enhancement, edge detection, respectively Prewitt and Canny, edge enhancement is done to sharpen the edge)

基于emd算法的实现算法，用于对传感器采集到的呼吸和心跳信号尽心分离(Emd algorithm-based algorithms for breathing and heartbeat sensor to conscientious separation)

数据包络分析算法模型，DEA-Solver Pro v5(Data Envelopment Analysis Model)

MATLAB Code for Particle Swarm Optimization Algorithm to optimized unconstrained Optimization Problem

simulation of fuel cell -part3

基于matlab的最佳基带传输系统仿真源代码(the best base-band transmission system simulation source code)

实现512-QAM误码率分析与实现，有MATLAB仿真程序(Achieve 512-QAM BER analysis and implementation, there MATLAB simulation program)

基于matlab的摸拟退火算法研究（很经典）(Based on the simulation annealing algorithm matlab Study (classic))

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.)