singlecarrierFDequalization

this is dynamic voltage restorer source program

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 )

说明：  该程序是我研制的“基于ARM9的无线自动报靶系统”的MATLAB算法的仿真验证部分 该程序的主要功能是对靶纸上的靶点和靶环进行提取和计算，然后计算出靶点的环数。 程序里面有注释(The program that I developed ARM9-based wireless automatic reported target system MATLAB algorithm simulation part of the program s main function is to target the paper target and target ring extraction and calculation, and then calculate the target of ring a few. Procedures there are Notes)

说明：  在缺乏样本是的雷达信号处理方法，广泛用于自适应系统中(In the absence of the sample is radar signal processing method, widely used in adaptive systems)

matlab 遗传算法优化BP神经网络完成代码 调试通过(matlab genetic algorithm to optimize BP neural network to complete the code debugging through)

Displays the details of a specific contact.

simulation of uncoded BPSK over AWGN

opamp simulink in matlab

程序实例，以简洁高效的代码来实现许多程序的功能，是初学者快速入门的经典教材。(procedures matlab examples, concise and efficient code to achieve a number of procedures and functions, are beginners QuickStart classic materials.)

对水印图像进行置乱，然后嵌入到载体图像小波域中的细节子带中(the watermark image is Scrambled, and then embedded into the details of wavelet sub-band domain)