3100-微分方程数值解法(第4版)-李荣华

基于dds的雷达信号的产生，基于dds的雷达信号的产生(Dds-based radar signal generation)

Matlab的一些语句功能，和与之相对应的解释(Matlab' s statement function, and in connection with the corresponding explanations)

预报误差法参数辨识-松弛的思想，包括面积、周长、矩形度、伸长度，是本科毕设的题目，BP神经网络用于函数拟合与模式识别，一种噪声辅助数据分析方法,包括主成分分析、因子分析、贝叶斯分析。( Prediction Error Method for Parameter Identification- the idea of relaxation, Including the area, perimeter, rectangular, elongation, The title of the commercial is undergraduate course you BP neural network function fitting and pattern recognition, A noise auxiliary data analysis method, Including principal component analysis, factor analysis, Bayesian analysis.)

采用离散余弦变换和霍夫曼编码，对图像进行压缩存储，并且完成解压缩(Discrete cosine transform and Huffman coding, the image compression and storage, and complete decompression)

基于梯度下降法的SVM的实现。适合初学者(Gradient descent method to achieve SVM. Suitable for the news.)

it includes gammatone filters and cochlegram

simulink and controllers nn

MATLAB的SVM算法实现，Matlab Support Vector Machine Toolbox，This toolbox was designed as a teaching aid, which matlab is particularly good for since source code is relatively legible and simple to modify. However, it is still reasonably fast if used with the supplied optimiser. However, if you really want to speed things up you should consider compiling the matrix composition routine for H into a mex function. Then again if you really want to speed things up you probably shouldn t be using matlab anyway... Get hold of a dedicated C program once you understand the algorithm.(MATLAB-SVM algorithm, Matlab Support Vector Machine Toolbox, This toolbox was designed as a teaching aid, which matlab isparticularly good for since source code is relatively legible andsimple to modify. However, it is still reasonably fast if usedwith the supplied optimiser. However , if you really want to speedthings up you should consider compiling the matrix compositionroutine for H into a mex function. Then again if you really wantto speed things up you probably shouldn t be using matlabanyway ... Get hold of a dedicated C program once you understandthe algorithm.)

根据地震记录的统计特征和相应假设，本文采用 ARMA 模型描述地震子波，基于 高阶累积量的 ARMA 模型地震子波提取方法不仅可在压制高斯色噪声的同时保留所需 地震信号的相位信息(For the cumulant based ARMA (autoregressive moving average ) model seismic wavelet extraction method could not only retain the pahse information of the seismic wavlet while eliminating the colored Gaussian noise, but also provide a parsimonious, more efficient )

lagre no of m file for matlab course code file #6(lagre no of m file for matlab course code file#6)