Fingerprint_Minutiae_Extraction

面向MATLAB工具箱神经网络理论与运用（包含书上的源程序）(Toolbox for MATLAB neural network theory and application (including the source book))

improved Neighblock wavelet thresholding method based on minimising SURE criterion

HMM MATLAB ..speech recognize

动态中继选择和功率分配策略，讨论在不同策略下的功率分配，寻找能使总的功耗最小的方法。(Dynamic relay selection and power allocation strategies discussed in different power allocation strategies, seeking to make the total power consumption is minimal approach.)

说明：  带延时的微分方程，这是matlab的四个源程序。(with the delay differential equations, which is the four Matlab source.)

用matlab编写的newmark－belta法求解结构动力响应(Prepared using matlab newmark-belta method for structural dynamic response)

以最小均方算法为约束条件的自适应波束形成(Adaptive beamforming with the minimum mean square algorithm as the constraint)

this source cod to transformer matlab

主动噪声控制的经典FX-lms算法仿真，包括算法框图，结果分析(Active Noise Control of the classic FX-lms algorithm)

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)