datasimu

信道估计中所使用的关键程序希望对大家有帮助(Channel estimation used in the critical processes for all of us want to help)

说明：  这是一个两关节机械手的数学模型，matlab文件(This is a two joint manipulator mathematical model, matlab file)

在matlab下产生m序周期,初态,特征式可以在主程序中自己设计.(under the Matlab m sequence cycle, the initial state, in the style of their own main program design.)

Zero-Forcing Equalization for STBC-MIMO systems

计算考虑像散情况下，能否实现腔内某一腔臂稳区完全重合(Account for astigmatism cases, achieving a cavity chamber arm stability zone coincide)

实现功能 1) 在用户界面设置录音时长并实时录音 2) 调节放音幅度、播放原声并进行时域、频域绘图 3) 对收集的声音进行倒放处理并播放 4) 对收集声音进行回声处理并播放，比对时域波形 5) 对收集声音进行回响处理并播放，比对时域波形 6) 对经过回声处理的声音进行回音消除并比对时域波形 7) 采用自适应滤波器消除采集声音中的环境噪音 8) 设计相应的滤波器组成均衡器对收集的声音进行处理并播放 9) 男女声识别 10) 设计参数可调的滤波器对采集的声音进行处理 (1) in the user interface to set the recording length and real-time recording 2) to adjust sound, played acoustic amplitude and time domain, frequency domain mapping 3) to upend the collection of sound and play 4) to collect sound echo processing and playback, than in the time domain waveform 5) to collect sound echoes, processing and playback, than in the time domain waveform 6) to echo and treated with echo s voice than in the time domain waveform 7) using adaptive filter to eliminate ambient noise in acquisition voice 8) to design the corresponding filter to process the voice of equalizer to collect and display 9) NanNvSheng recognition 10) tunable filter design parameters for voice processing )

matlab画格点风向杆和风羽的函数，在气象绘图中使用较多而且方便(matlab draw grid wind direction and wind feather rod function more in the weather and easy to use drawing)

图像分割的方法有许多种，其中阈值分割的方法很常用，提供一种基于otsu算法的图像分割方法，很实用。(There are many kinds of method of image segmentation, threshold segmentation method is commonly used, provide a method of image segmentation based on otsu algorithm is very practical)

ActiveModels contains a Matlab toolset and examples for training and fitting AAMs (Active Appearance Models). Please refer to the code and included examples for its function. You must have an annotated database to use its features.

Estimation of fractal dimension by divider method