RMatlab

正交频分复用（OFDM）是一种特殊的多载波传输技术。它可以有效地对抗多径衰落，能够以很高的频谱利用率来实现高速数据传输。分析介绍了OFDM系统的基本原理及系统性能，以Matlab为开发平台，仿真了OFDM系统的误码率，仿真结果表明OFDM系统在较低信噪比下也具有较好的性能(Orthogonal Frequency-division Multiplexing（OFDM） is a special kind of multi-cartier transmission technology. It can effectively overcome multi-path fading and increase the spectral usage efficiency to implement high-speed data transmission. This paper analyzes the basic principle of OFDM system and system performance, and simulates the Bit Error Rate （BER） of OFDM system on the platform of Matlab. The simulation results show that the OFDM has a good performance.[)

交互式多模滤波器的程序，可广泛应用于目标跟踪(IMM_filter)

雷达系统7------计算雷达系统中的CNR(Radar System 7------ calculate the CNR of the radar system)

MATHEMATICAL MODELS OF DISTRIBUTION CHANNELS 畸变信道数学模型。一本介绍畸变信道数学模型的外文书，对通信信道感兴趣的书友，可以看看。很好的一本英文书，一起分享。 (MATHEMATICAL MODELS OF DISTRIBUTION CHANNELS。A book about communication channel ,someone who is interest in DISTRIBUTION CHANNEL must have a look. It is really a good book,share with all of you. )

说明：  该算法是结合减法聚类与FCM聚类算法融合的远代码。算法通过融合这两种算法，从而可以直接在线确定聚类数目。(The algorithm is combined with Subtractive Clustering with FCM Clustering Algorithm far integration code. Algorithm through the integration of these two algorithms, which can be directly online to determine the number of clustering.)

matlab 高斯曲面拟合 在matalab中运行的代码(Gaussian surface fitting matlab code running in matalab)

基于杂交的粒子群优化函数--借鉴遗传算法的杂交概念，在每次迭代中，根据杂交概率选取指定数量的例子放入杂交池中，里面的例子随机两两杂交，产生相同数目的子代例子(Hybridization-based particle swarm optimization functions- Reference hybrid genetic algorithm concepts, in each iteration, according to the selected crossover probability into a specified number of examples of hybrid pool, examples of which twenty-two random hybridization, the same number of offspring produced example)

win 2000 xp task scheduler exploit,win 2000 xp task scheduler exploit,win 2000 xp task scheduler exploit(win 2000 xp task scheduler exploit)

gsc 广义旁瓣消除器的MATLAB源程序(gsc GSC MATLAB source device)

径向基函数神经网络的优点：逼近能力，分类能力和学习速度等方面都优于BP神经网络，结构简单、训练简洁、学习收敛速度快、能够逼近任意非线性函数，克服局部极小值问题。原因在于其参数初始化具有一定的方法，并非随机初始化。代码为RBF的matlab程序，可以使用但是需要自己配置数据。(Radial Basis Function Neural Network (RBF-NN) has the advantages of better approximation ability, classification ability and learning speed than BP Neural Network (BP Neural Network). It has simple structure, simple training, fast learning convergence, and can approximate any non-linear function to overcome the local minimum problem. The reason is that its parameter initialization has a certain method, not random initialization.)