fit_rayleigh_pdf

两本matlab 书，pdf格式， matlab6.5辅助图像处理和精通matlab6.5 北航 张志涌版(Matlab two books, pdf format, matlab6.5-assisted image processing and proficient in matlab6.5 version BUAA Zhang Zhiyong)

换句话说,信号可能仍然是 探测到,但以较低的质量。这是通常所说 对软失败。幸运的是,新的传输的多样性 方案提供了相同软失败。对(one of the receive chains fail, and the other receive chain is operational, then the performance loss is on the order of the diversity gain. In other words, the signal may still be detected, but with inferior quality. This is commonly referred to as soft failure. Fortunately, the new transmit diversity scheme provides the same soft failure. To)

下载的一个卡尔曼语音增强程序，做了修改后给大家参考参考(Download a Kalman speech enhancement program, made modifications to your information)

it is a code for GKFCM clustering

说明：  线性阵列在近场区域运用MVDR算法定位噪声源，里面有几种简单的算法(Linear arrays use MVDR algorithm to locate noise sources in near field. There are several simple algorithms in it.)

matlab在信号与系统中的应用，连续信号的matlab描述，LTI系统的零输入响应，n阶LTI系统的响应，(matlab in Signal and System, continuous signal matlab description, LTI system, the zero-input response, n-order LTI system response,)

KALMAN 滤波器 辅助 在线足球运动员跟踪 球赛是由模拟器生成的日志文档 此程序只实现如何利用kalman滤波器 对2维平面上的 运动物体进行跟踪 不涉及任何图像处理的东西 (Kalman filter assisted on-line multiple objects tracking on simulated robot soccer match log file. The tracking system is working on preprocessed data, so no image processing were included in the implementation. )

color histogram through RGB components and cloud clustering also

语音识别是近年来发展非常迅速的一项计算机智能技术，广泛应用在语音控制、身份识别等多个领域。本次项目主要研究语音识别的预处理过程和特征参数的提取环节。通过对原始语音信号进行预加重和分帧、加窗，滤除低频干扰，提升对语音识别有用的部分，消除了部分噪音和失真。预处理之后进行信号的特征提取，主要选取了短时平均过零率和MFCC两个特征参数，应用matlab软件绘制波形图并提取特征参数矩阵，为之后的语音信号的识别打下了基础。(Speech recognition is a computer intelligent technology which has developed rapidly in recent years. It is widely used in speech control, identity recognition and other fields. This project mainly studies the pretreatment of speech recognition and the extraction of feature parameters. Through pre-emphasis, framing and windowing of the original speech signal, the low frequency interference is filtered out, the useful part of speech recognition is enhanced, and some noise and distortion are eliminated. After pretreatment, feature extraction of signal is carried out. Two feature parameters, short-term average zero-crossing rate and MFCC, are selected. Waveform diagram is drawn by MATLAB software and feature parameter matrix is extracted, which lays a foundation for speech signal recognition.)

包括AHP，因子分析，回归分析，聚类分析，PLS部分最小二乘工具箱,对信号进行频谱分析及滤波。( Including AHP, factor analysis, regression analysis, cluster analysis, PLS PLS toolbox, The signal spectral analysis and filtering.)