FullBNT-beiyesi

人工势场法路径规划matlab源代码，适用于机器人路径规划。(Artificial potential field path planning matlab source code for robot path planning.)

steganography means we have to hide the information in the image for using encryption and decryption algorithm also.

在原始的 fcm 算法基础上，对算法中的聚类数 c 和加权指数 m 给出优选方法， 进而而出了 fcm 参数优选自适应算法，通过人造数据与具有实际背景的数据验证可以看出 该算法是有效的，该算法不但可以自适应的给出最佳的聚类数，而且可以验证聚类的有效性， 达到最佳聚类的目的(Fcm algorithm in the original, based on the number of clustering algorithms and the weighted index m given c preferred method, and then out of the fcm parameter optimization adaptive algorithm, synthetic data and practical background in data validation can be seen that the algorithm is effective, the adaptive algorithm can not only give the best number of clusters, and clustering can verify the validity of the purpose to achieve the best clustering)

二并行FIR算法具有速度快的优点，其算法对信号的处理有它独特的优势，其中的源程序对算法进行了仿真，与结论一致(FIR Parallel algorithm )

MIMO-OFDM系统容量仿真程序，内容挺全的(Capacity of MIMO-OFDM system simulation program, the content very wide of the)

说明：  利用matlab强大的数值计算和绘图功能解决了在求解正弦稳态电路时存在的困难。 关(Using the powerful numerical calculation and drawing function of MATLAB, the difficulties in solving the sinusoidal steady-state circuit are solved. shut)

数学实验中的最速落径问题 A,B是不在一条铅垂线上的两点，在链接A,B两点的所有光滑曲线中，找出一条曲线，使得初速度为零的质点，在重力的作用下，自A点下滑到B点所需的时间最短 (Mathematical experiment steepest drop Path problems A, B is not a vertical line of two points, the link A, B two points in all the smooth curve, to find a curve, the initial velocity of the particle is zero, gravity role, and since the point A to B points decline in the time required for the shortest)

Arabic Text To Speech system

MATLAB的学习资料，ppt格式，希望能对你有用(MATLAB' s learning materials, ppt format, hoping to be useful to you)

极限学习机（Extreme Learning Machine，ELM），该算法随机产生输入层与隐含层间的连接权值及隐含层神经元的阈值，且在训练过程中无需调整，只需要设置隐含层神经元的个数，便可以获得唯一的最优解。与传统的训练方法相比，该方法具有学习速度快、泛化性能好等优点(Extreme Learning Machine regression and classification, introduce a new algorithm for SLFN- Extreme Learning Machine (Extreme Learning Machine, ELM), the algorithm randomly generated input layer and hidden layer connection weights between the hidden layer and dollar threshold, and no adjustment in the training process, only need to set the number of hidden layer neurons, they can obtain a unique optimal solution.)