GMSK和基带信号功率谱密度仿真实验开发 Experiments-development-of-GMSK

PCA算法。PCA的目的是找到能够分离出最大方差的方向，所以首先求原来所有数据三个维度上的协方差，然后求这个协方差的特征值，最大特征值为第一个方向，从此以此类推。(PCA algorithm. The purpose of PCA is to find able to isolate the direction of maximum variance, so first find all the data in three dimensions on the original covariance, and then find the eigenvalues ​ ​ of the covariance, the biggest feature is the first in one direction, from and so on.)

irdeto source code for gamma cards

good code good code good code good code good code good code good code good code good code (good code good code good code good code good code good code good code good code good code)

正交频分复用程序解析，小菜多日收集，虽然未必精辟但说不定有你想要的 (Orthogonal frequency division multiplexing analytical procedures, side dishes, multi-day collection, although not brilliant but maybe you want to have the)

说明：  这里介绍了一种基于自适应滤波的噪声抵消法，采用归一化最小均方误差算法，采集实际噪声环境下各种不同信噪比的带噪语音样本进行降噪处理，实验结果表明，处理后信号的信噪比得到了较大程度的提高，大大改善了听音效果，具有很高的可懂度，且语音自然度好，没有失真；并与谱减法进行了比较，自适应噪声抵消法的降噪幅度比谱减法有一定提高，在听音效果上，用自适应噪声抵消法处理后的语音在清晰度，自然度方面优于谱减法。(Here a novel adaptive noise cancellation method using normalized least mean square algorithm, collecting a variety of actual noise environment, the SNR of noisy speech samples for noise reduction, experimental results show that treatment After the signal to noise ratio was greater improvement in the level, greatly improved the listening results, with high intelligibility and naturalness of speech is good, no distortion and were compared with the spectral subtraction, adaptive noise cancellation law than the spectral subtraction noise reduction rate of a certain improvement in the listening results, and with the adaptive noise cancellation method in the treatment of voice clarity, naturalness is better than spectral subtraction.)

改进bp-ga算法，确定权值和阈值，组合导航系统故障诊断bp-ga算法(Improved algorithm for bp-ga)

有源自适应噪声的最常用算法之一，该算法是另一个基于最小二乘准则的精确方法，它具有快速收敛和稳定的滤波器特性。(Active adaptive noise, one of the most commonly used algorithm, the algorithm is another accurate method of least squares criterion, it has fast convergence and stability of the filter characteristics.)

通过设置不同的参数利用Matlab软件仿真了不同场景下的系统性能 (This document suggests a user’s guide to a MATLAB application which simulates a Spatial Channel Model (SCM) based on reference [1] with some minor adjustments. It focuses on how to use the Graphical User Interfaces (GUIs) and the functions of the application and avoids going into specifics about the nature of the parameters as this is done analytically in the reference document)

主要包含Matlab7.0的课后习题解答和实例程序，为大家提供方便。(Consists mainly of Matlab7.0 answers and examples of after-school exercise program for you convenience.)

matlab source code for editing images