banana

adaptive mmse space-time multiuser detection algorithm.m是自适应MMSE空时多用户检测算法 dec multiuser.m是空时解相关多用户检测算法 cd multiuser.m是空时匹配滤波器 ber.m是误码率计算 conver.m是空时PN码产生文件(adaptive space-time multiuser detec tion is algorithm.m MMSE space-time adaptive multi-user detection algorithm dec multi user.m solution when space is multi-user detection algorithm cd multiuser.m was empty when matched filter ber.m error rate is calculated conver.m was empty at the PN code generated)

说明：  针对低信噪比环境下基于能零比的端点检测方法准确率低的问题,提出了一种结合谱减法和短时零熵法的端点检测方法。首先通过功率谱减法对带噪语音进行降噪处理,然后结合短时平均过零率特征与谱熵特征,构造出一种新的语音参数,即短时零熵,最后运用双门限算法进行端点检测。实验结果表明该方法在复杂噪声环境下具有良好的端点检测性能,降低了检测的误判率。(To solve the problem of low accuracy of endpoint detection method based on energy zero ratio in low SNR environment, an endpoint detection method combining spectral subtraction and Short-term zero entropy method is proposed. Firstly, the noise is reduced by power spectrum subtraction, then a new speech parameter, short-time zero entropy, is constructed by combining the short-time average zero crossing rate and spectral entropy. Finally, the double threshold algorithm is used for endpoint detection. The experimental results show that this method has good performance of endpoint detection in complex noise environment, and reduces the rate of detection error.)

小波包去噪，用小波包去除一维信号的噪声,分解小波包系数画图说明比较全面(Wavelet Packet Denoising using wavelet packet to remove the noise of a one-dimensional signal decomposition wavelet packet coefficients drawing the more comprehensive)

随记减量法是从结构的随机振动响应信号中提取该结构自由衰减振动信号的一种方法-With the mind Reduction Act(Reduction Act is credited with random vibration response of the structure from the signal to extract the structure of a method-With free decay vibration signals the mind Reduction Act)

matlab coade source for beam pattren for the simutalion of smart antenna in matlab

This is matlab mdl file ,SVPWM realization on TMS320F2812. Its wonderful.

MIMO-OFDM WIRELESS COMMUNICATIONS WITH MATLAB，这本书主要是围绕MIMO+OFDM的，每一章分析不同的系统参数，并且附带相应的Matlab程序。(MIMO-OFDM WIRELESS COMMUNICATIONS WITH MATLAB, this book focuses mainly on MIMO+ OFDM, and each chapter analysis of various system parameters, and with the corresponding Matlab program.)

运用粒子群优化算法对ARMA(p,q)模型的阶数进行优化是可行的，且利用优化后的ARMA模型对航空发电机状态趋势进行分析的结果十分准确，与原始数据所表现出的航空发电机状态变化趋势基本一致。经计算，此时分析结果的平均相对误差较小，仅为1.38 ，与优化前构建的ARMA模型相比，平均相对误差降低0.23个百分点，优化效果明显。(Using particle swarm optimization algorithm to optimize the order of the ARMA (p, q) model is feasible, and the use of the results of the ARMA model optimized air generator status trends analysis is very accurate, and the raw data showed aviation the generator status consistent trend. Calculated analysis of the results, the average relative error is small, only 1.38 , compared with the the ARMA model built before optimization, average relative error is reduced by 0.23 percentage points, to optimize the effect is obvious.)

matlab code for image watermarking

bessel函数求根，求解bessel函数的前20个根(root of bessel)