eular_ode

fft 利用DSP Builder 在MATLAB下产生的模型(DSP Builder fft using the model generated in MATLAB)

程序算任意点FFT和小波变换,以及可选择多种小波及小波变换后的单频带重够,另算信号的Lipschitz指数,高级数字信号处理!(counting procedures arbitrary point FFT and Wavelet Transform, and the choice of multiple wavelet and the wavelet transform of a single-band heavy enough, and another count signal Lipschitz index advanced digital signal processing!)

说明：  微分进化算法中的其中两个子程序，还有未上传(Differential evolution algorithm)

最小二乘法含有非线性线性拟合附有理论和实际的例子说明比较具有实际应用哟(PLS)

《计算理论导引》(作者)[美] Michael Sipser(译者)张立昂 王捍贫 黄雄 机械工业2000年2月第1版.pdf(Computational Theory，(Author) [America] Michael Sipser (translator) Zhang Li Ang Wang Hanpin Wong Hung Machinery Industry in February 2000 1st edition. Pdf)

NSGA2 and MOPSO algorithms

有关FFT方面的内容，包括算法原理和程序应用（PDF）(The FFT aspects, including the principles and procedures of application of algorithm (PDF))

最小二乘拟合空间直线，和单独的误差计算函数(Linear least squares fitting space, and a separate error calculation function)

％ 奇异值分解 (sigular value decomposition,SVD) 是另一种正交矩阵分解法；SVD是最可靠的分解法， ％ 但是它比QR 分解法要花上近十倍的计算时间。[U,S,V]=svd(A)，其中U和V代表二个相互正交矩阵， ％ 而S代表一对角矩阵。 和QR分解法相同者， 原矩阵A不必为正方矩阵。 ％ 使用SVD分解法的用途是解最小平方误差法和数据压缩。用svd分解法解线性方程组，在Quke2中就用这个来计算图形信息，性能相当的好。在计算线性方程组时，一些不能分解的矩阵或者严重病态矩阵的线性方程都能很好的得到解( Singular value decomposition (sigular value decomposition, SVD) is another orthogonal matrix decomposition method SVD decomposition is the most reliable method, but it takes more than QR decomposition near ten times the computing time. [U, S, V] = svd (A), in which U and V on behalf of two mutually orthogonal matrix, and the S on behalf of a diagonal matrix. And QR decomposition are the same, the original matrix A is no need for the square matrix. The use of SVD decomposition method are used as a solution of least squares error method and data compression. Using SVD decomposition solution of linear equations, in Quke2 on to use this information to calculate the graphics performance quite good. In the calculation of linear equations, some indecomposable matrix or serious pathological matrix of linear equations can be a very good solution)

高频地波雷达回波信号二维傅里叶变换仿真处理，通过该变换可以得到海上目标的速度和距离信息。(HF ground wave radar echo simulation of two-dimensional Fourier transform processing, the adoption of the sea can transform the speed and distance from goal information.)