h.264-cuda-master

说明：  MATlab和GA的潜用，将GA的算法程序写到MATLAB里面，用于求解优化问题(MATlab and GA' s potential use, the GA algorithm program written MATLAB inside, for solving optimization problems)

MATLAB与VC++混合编程实现一维小波多尺度分解(MATLAB and VC programming mix of one-dimensional wavelet decomposition)

在MATLAB实现的用C实现的KNN算法，输入训练数据文件，和test文件，进行预测分类，并且可以与真实情况比较测试预测正确百分比(Implemented in MATLAB KNN algorithm implemented in C, the input training data file, and test files, to predict the classification and testing with the real situation is more correct percentage of predicted)

关于rs码的编解码，质量很是不错，学习起来不错。(The codec on rs code, the quality is very good, is nice to learn. )

几个用matlab实现正向云发生器，k均值算法的的程序，都已调试通过 ，经测试可直接使用。 (Several matlab realize positive cloud generator, k-means algorithm procedures have been debugging through, has been tested and can be used directly.)

encoder of speech compression

利用参数辨识法提取相关对准参数，从而估计出陀螺漂移和数学平台偏角并进行补偿。仿真结果表明，开路罗经法对准具有较高的对准精度、较好的快速性，能够满足捷联惯导系统在静基座下实现自对准的要求。(Expressions of mathematical platform misalignment angles of the open-loop algorithm are derived and parameter identification method is used to pick-up the corresponding coefficients from angle measurements in order to identify and compensate gyro drifts and platform misalignment．The simulation results show that the open circuit gyrocompass alignment of SINS can all meet the requirement of SINS initial alignment with high accuracy and quick reaction on static base. thus can meet the high-precision alignment requirement of carrier based inertial navigation system on swinging base． )

matlab snopt 学生版,求解大规模非线性规划问题(matlab snopt Student Edition, for solving large-scale nonlinear programming problem)

：滤波 fs=400 采样频率,必须大于两倍基带信号最高频率 ts=1/fs 采样时间间隔 T=5 时间窗大小 t=0:ts:T (hf1=zeros(1,N) hf1(f<=B1&f>=-B1)=1 y1=hf1.*fftshift(y) figure subplot(211) plot(f,abs(fftshift(y))/N,f,hf1, r-- ) axis([-fs/2,fs/2,0,1.2]) title( 原信号频谱 ) xlabel( f /Hz ) subplot(212) plot(f,abs(y1)/N) title( 低通滤波，截止频率90Hz ) xlabel( f /Hz ))

有关多采样率转换问题，本文介绍了多采采样率转换的MATLAB实现和基础理论。 (This article describes a much more expensive than the sample rate conversion of MATLAB and basic theory of the multi-sampling rate conversion problem.)