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基于BP神经网络的遥感图像分类代码。从样本中提取崇明岛东滩十种地物的光谱特征，并训练BP网络，再利用网络进行分类(BP neural network-based remote sensing image classification code. Extracted from samples of 10 kinds of Chongming Island, Dongtan features of the spectral characteristics and to train BP network, and then use the network to classify)

说明：  遗传算法的matlab程序，有详细的子函数，自适应求解多维矩阵参数，浮点型实数求解，程序明了易懂！(Genetic algorithm matlab program, detailed subfunctions adaptive solving multidimensional matrix parameters, floating point real numbers to solve the program is clear and easy to understand!)

Vincent Jaquet & Marek Pechal的社交网络扩散模型，matlab(Social network diffusion model of Vincent Jaquet & Marek Pechal, matlab)

HHT变换的matlab程序，简单明了，希望对大家的学习有帮助(HHT transform matlab program simple, we want to help the learning)

说明：  matlab输入账号和密码进行登陆，使用guide进行设计，包含fig文件和m文件(matlab log in)

This section of MATLAB source code covers 802.11b, 11g Channel Models used for hyperlan2 and other WLAN environment. These channel models are used for residential, office and commercial purposes.

根据马尔卡夫转移阵产生状态量。根据马尔卡夫转移阵产生状态量。(According to Markov state variables generated Kraft transfer matrix)

地震资料 数据处理 分频去噪 模块 主要压制随机噪音 异常振幅 野值 大值 方法特点：1 针对性强，主要去除随机噪音；2 随机噪音识别能力强，达到了较高的去噪水平；3 具有自适应性，能根据不同位置的不同特点统计识别噪音；4 振幅保真，对有效信号的保护性好；5 操作者可根据经验选择参数组合灵活去噪，达到较好的结果。 应用对比：为了展示本模块的去噪效果，所选取的对比对象是某知名成熟商业软件的分频去噪模块，其去噪效果在当前诸多成熟软件模块中是佼佼者，在地震资料处理界具有很好的口碑。 通过对比，说明本模块：1 针对性强，主要去除随机噪音和异常振幅等。2 随机噪音识别能力强，达到了较高的去噪水平。3 具有自适应性，能根据不同位置的不同特点统计识别噪音。4 振幅保真，对有效信号的保护性好。5 操作者可根据经验选择参数组合灵活去噪，达到较好的结果。(Frequency-dependent noise attenuation seismic data, processing module, is mainly to suppress random noise, denoising abnormal/large amplitude values Method of characteristics: 1 targeted, mainly to remove random noise 2 random noise and strong ability to identify , reach a higher level of de-noising 3 is adaptive , able to identify the noise statistics according to the different characteristics of different positions 4 amplitude fidelity , the effective protection of the signal is good 5 denoising operator flexibility to select the combination of parameters according to the experience , to achieve better results . Application contrast: To demonstrate the effect of the de-noising module , the selected object is a well-known comparative commercial software divide mature noising module de-noising effect is the current leader in many mature software module in seismic data processing industry has a good reputation. By contrast, the description of the module : a targeted, mai)

turbo 编解码 各种算法，包括sova，logmap等(turbo encoding and decoding various algorithms)

使用高阶累积量完成单载波和OFDM信号的的识别，对不同信噪比情况下进行了仿真，有不错的效果(Using higher order cumulants to complete the identification of single carrier signal and OFDM signal, the simulation of different signal-to-noise ratio, has a good effect)