compress_sensing_without_frame

希尔伯特黄变换的C语言实现，包括希尔伯特谱分析，瞬时频率的求解等。(Hilbert Huang Transform C language, including Hilbert spectral analysis, such as instantaneous frequency solution.)

photovoltaic and its mppt modeling in matlab

基于802.11的matlab仿真程序，做的相当的好。希望对大家有用。大家可以参考一下。(802.11 matlab-based simulation program, to do quite good. I hope for all of us useful. We can refer to.)

用matalab成功实现多元线性回归，简单可行，相信能给大家带来方便。(Matalab with the successful implementation of multiple linear regression, simple and feasible, I believe that can bring convenience to everyone.)

雷达各种信号处理，包括脉冲压缩，相干积累，非相干积累，雷达方向角等(A variety of radar signal processing, including pulse compression, coherent accumulation and non-coherent accumulation, radar azimuth)

数字信号处理－理论、算法与实现 一书中所涉及到的绝大部分算法。 Dsp_c C语言编写的算法程序。 Dsp_fortran FORTRAN语言编写的算法程序。 Dsp_matlab用MATLAB编写的信号处理程序，包含本书各个章节的 大部分例题。(" Digital Signal Processing- Theory, Algorithm and Implementation of a book related to most of the algorithm. The DSP_C C language algorithm. Dsp_fortran FORTRAN language written algorithm. Dsp_matlab prepared using MATLAB signal processing procedures, including most of the examples of the various chapters of the book.)

This code is the Navier Method for analyzing a plate for those who are familiar with the theory of "plates and shells".

说明：  利用MATLAB实现的带参数的方程的求解，可以改变参数进行任何复杂的运算。(Equations with parameters using MATLAB, you can change the parameters of any complex calculations.)

利用自然梯度算法来对于5 类信号进行盲信号分离，采用自然梯度法对混合的信号进行 分离并分析其性能，并比较不同步长对于信号分离的影响(Use of the natural gradient algorithm for the five types of signals blind signal separation, using the natural gradient method for mixed signal Separation and analysis of its performance and compare sync signal separation for the impact of long)

Using TF-IDF to Determine Word Relevance in Document Queries : In this paper, we examine the results of applying Term Frequency Inverse Document Frequency (TF-IDF) to determine what words in a corpus of documents might be more favorable to use in a query. As the term implies, TF-IDF calculates values for each word in a document through an inverse proportion of the frequency of the word in a particular document to the percentage of documents the word appears in. Words with high TF-IDF numbers imply a strong relationship with the document they appear in, suggesting that if that word were to appear in a query, the document could be of interest to the user. We provide evidence that this simple algorithm efficiently categorizes relevant words that can enhance query retri