data_echo_cancellation

利用pcnn脉冲耦合神经网络进行图象滤波,利用pcnn定位图象噪声,根据定位情况进行滤波,输出(Using pulse coupled neural network PCNN for image filtering, image noise using PCNN positioning, according to location to conduct filtering, output)

本程序针对高通公司开发的IS-95通信系统，是一个相对完整的IS-95前向信道的仿真源程序，包括Viterbi编码，数据调制，基于RAKE接收机的解调，实现软判决输入的Viterbi译码等模块，并包括有误码率的计算和性能仿真显示。 (The procedure developed for Qualcomm IS-95 communication system, is a relatively complete IS-95 forward channel simulation source code, including Viterbi coding, data modulation, demodulation based RAKE receiver to achieve soft decision input Viterbi decoding modules, and includes a bit error rate performance computing and simulation show.)

Linear dynamical system. This set of functions performs inference and learning of a linear Kalman filter model. Inference is carried out via forward-backward smoothing, and learning is accomplished via the expectation maximization algorithm.

This code simulates analog signal in matlab

这次上传的绝对是好东西，数值优化，关键是对不同函数进行运算。这次将无约束测试问题上传，可作为论文数值计算使用。注：本人本科毕业论文做的是无约束优化，研究生做的是结构方程(LISREL)、数值优化、蚁群算法，可以进行交流，联系QQ272958823(Test function for optimation!)

利用平均周期图法的进行功率谱估计，得到信号的频谱幅度。(Use the average periodogram method for power spectrum estimation, be the signal amplitude spectrum.)

说明：  这些MATLAB的M文件分为两部分：程序清单A中收录了产生PPM-TH和PAM-DS这两个信号源的所有函数；程序清单B中收录了加性高斯白噪声（AWGN）信道建模，正交和非正交单脉冲PPM-TH接收机结构，以及反极性PAM-DS单脉冲接收机结构仿真所需的所有函数。(The MATLAB M-file is divided into two parts: A list of procedures in the collection of produce PPM-TH and PAM-DS two signal sources all functions Listing B, contains an additive white Gaussian noise (AWGN) channel construction mode, orthogonal and non-orthogonal single-pulse PPM-TH receiver structure, as well as anti-polarity PAM-DS receiver structure simulation of single-pulse all the necessary functions.)

matlab编程计算结构系统的频率响应程序(matlab program to calculate the frequency response of structural systems)

实现光伏预测，通过当天的光伏出力和天气指数加上预测日的天气指数预测明天的光伏出力，基于BP神经网络对光伏出力进行预测(Realization of photovoltaic forecast photovoltaic output through the day and the weather forecast daily index plus weather forecast for tomorrow s PV output index, BP neural network to predict based on the realization of photovoltaic PV output forecast photovoltaic output through the day and the weather forecast daily index plus the weather forecast for tomorrow s PV output index, BP neural network to predict the output of the PV)

iforest算法可以进行对时间序列中异常的一段时间进行检测，算法非常高效(Iforest algorithm can detect abnormal periods in time series, and the algorithm is very efficient.)