MATHLAB_Neural_Networks

说明：  数字信号处理及MATLAB实现 IIR digital filter(IIR digital filter)

《通信系统仿真原理与无线应用》一书的matlab仿真程序("Communication System Simulation Theory and wireless applications," a book of matlab simulation program)

普通（硬）－ 均值聚类（HCM）算法是经典的硬聚类算法之一，能够对超椭球状的 数据进行分类(Ordinary (hard)- means clustering (HCM) algorithm is one of the classic hard-clustering algorithm, super-ellipsoid can sort the data)

同一张图片的各种不同的显示，以及对图片进行对比，能明显看出其中的不同(different to show the same picture)

kuanjiange_seq.m 基于对偶频带法和m序列，产生一个宽间隔跳频序列。 kuanjiange_seqencezu.m 基于对偶频带法和m序列，产生一个宽间隔跳频序列族。 注：其中的m序列是利用三个非相邻级控制频率合成器构造 L_G模型。(kuanjiange_seq.m based on dual band m sequence, have a wide interval frequency hopping sequence. Kuanjiange_seqencezu.m based on dual band and m sequence, have a wide interval frequency hopping sequences. Note : The use of m-sequences are non-adjacent three-level control frequency synthesizer L_G tectonic model.)

Matlab环境下，AVI影片帧转成BMP图像的算法。( Convert AVI movie to BMP frame algorithm in Matlab environment.)

卡尔曼滤波Kalman filter matlab GUI method M program 的matlab GUI实现方法 M程序 (Kalman filter matlab GUI method M program )

The signal received by a user over the forward link in such a high data rate system contains interference from the neighboring base stations. we note that the strength of this interference is a function of the network load in the neighboring cells. we obtain an expression for the received SINR (Signal to Interference and Noise Ratio) as a function of the traffic load in the interfering cells. Using this result, we propose an improvement to the SINR estimation scheme that is implemented in the current cellular data network. The proposed scheme provides a more accurate estimate of the user SINR by taking better account of the contribution of inter-cell interference. It builds on top of the current SINR measurement scheme by using a combination of pilot measurement and traffic load measurement

一个采用神经网络拟合sin函数的matlab程序(Matlab program using a neural network to fit the sin function)

Optimization Tool Box for use in Matlab