Twophraseheuristicalgorithm

Implementation of morphological shape decomposition algorithm (image processing)

说明：  cma自适应恒模算法，由接受信号估计信道的自适应恒模算法(cma constant modulus adaptive algorithm, to receive signals from the adaptive channel estimate constant modulus algorithm)

根据地理坐标和分析对象的浓度值画出浓度分布图的程序(According to the procedures of the geographical coordinates and the concentration of the analyte values ​ ​ to draw concentration maps)

This paper proposes an improved Z-source inverter topology. Compared to the traditional Z-source inverter, it can reduce the Z-source capacitor voltage stress significantly to perform the same voltage boost, and has inherent limitation to inrush current at startup. The control strategy of the proposed Z-source inverter is exactly the same as the traditional one, so all the existing control strategy can be used directly. A soft-start strategy is also proposed to suppress the inrush surge and the resonance of Z-source capacitors and inductors. The operation principle of the proposed topology and comparison with the traditional topology are analyzed in detail. Simulation and experimental results are given to demonstrate the new features of the improved topology.

卷积码编译码matlab实现，译码采用viterbi译码，并且右边验证误码率的程序，本人毕业论文，高分通过，因为网上不少程序有误，特此上传，供大家参考学习。(Convolutional code encoding and decoding matlab implementation, decoding using viterbi decoding and bit error rate of the right of verification procedures, I thesis, score by as many online programs are wrong, hereby uploaded for your reference study. )

This is a technician handbook for fiber optics

说明：  系统地介绍了模糊控制在自动发电机控制中的应用，并对控制结果进行了详细地分析与介绍。(a systematic introduction to fuzzy control in automatic generator control applications, results of control for a detailed analysis and briefings.)

　Kmeans 算法是聚类分析中使用最为广泛的算法之一，其每个类别均用该类中所有数据的平均值(或加权平均)来表示，这个平均值即被称作聚类中心。该方法虽然不能用于 类别属性的数据，但对于数值属性的数据，它能很好地体现聚类在几何和统计学上的意义。(Kmeans algorithm is the most widely used cluster analysis algorithm, each category with the average of all data in the class (or weighted average) to represent the average is known as the cluster center. Although this method can not be used The class attribute of the data, but data for numeric attributes, it can well reflect the significance of clustering on the geometry and statistics.)

基于负熵准则的FastICA盲多用户检测的研究(Research on FastICA Blind Multi-user Detection Based on Negentropy)

包括Newton插值、Lagrange插值、样条插值等等。。。(Including the Newton interpolation, Lagrange interpolation, spline interpolation and so on. . .)