one_cap_complex_volterra_NLMS_2nd_order

说明：  BP网络分类器，实现的对三组随机产生的数的有效分类(BP network classifier, to achieve the three the number of randomly generated effective classification)

After identifying the best MNT− 1 nodes with the simplified branch metric and the accumulated branch metric at stage NT − 1, we then calculate the LLR of each coded bit utilizing the standard squared Euclidian distance metric. The log-likelihood ratio (LLR) of a posteriori probability (APP) of each coded bit conditioned on the received signal y is normally calculated using the max-log approximation.

1、用Matlab绘制带通信号图形 2、用Matlab对模拟信源进行均匀量化 3、用Matlab编制一个函数实现均匀PCM量化编码，并计算量化噪声比(SQNR) 4、用Matlab对不同的量化级数计算出相应的量化噪声比(1, drawn using Matlab graphics bandpass 2, the simulation using Matlab source for uniform quantization 3, prepared using Matlab function to achieve a uniform PCM quantization coding, and calculate the quantization noise ratio (SQNR) 4, using Matlab on a different series to calculate the corresponding quantitative quantization noise ratio)

本程序的性能已经超过其他算法，小波包分析提取振动信号中的特征频率，采用累计贡献率的方法。( This program has exceeded the performance of other algorithms, Wavelet packet analysis to extract vibration signal characteristic frequency, The method of cumulative contribution rat.)

说明：  主要实现基于LMS算法的自适应滤波器,基于自适应算法的信号增强(Adaptive filter based on LMS)

ICA介绍课件。There has been a wide discussion about the application of Independence Component Analysis (ICA) in Signal Processing, Neural Computation and Finance, first introduced as a novel tool to separate blind sources in a mixed signal. The Basic idea of ICA is to reconstruct from observation sequences the hypothesized independent original sequences(ICA Introduction courseware. There has been a wide discussion about the application of Independence Component Analysis (ICA) in Signal Processing, Neural Computation and Finance, first introduced as a novel tool to separate blind sources in a mixed signal. The Basic idea of ICA is to reconstruct from observation sequences the hypothesized independent original sequences)

sltoolbox (Statistical Learning Toolbox) organizes a comprehensive set of matlab codes in statistical learning, pattern recognition and computer vision. It includes 256 m-files in 24 categories, which are from low-level computational routines to high-level frameworks and algorithms

EKF_PF 基于扩展kalman的粒子滤波 可解决非线性状态估计问题(EKF_PF particle filter based on extended Kalman can solve nonlinear state estimation problems)

多传感器信息融合AND准则OR准则和单传感器的对比效果，以及ROC曲线图(multi sensor data fusion)

在一定的约束条件下，其输出与一给定函数（通常称为期望输出）的差的平方达到最小，通过数学运算最终可变为一个托布利兹方程的求解问题。维纳滤波器又被称为最小二乘滤波器或最小平方滤波器，目前是基本的滤波方法之一。维纳滤波是利用平稳随机过程的相关特性和频谱特性对混有噪声的信号进行滤波的方法，1942年美国科学家N.维纳为解决对空射击的控制问题所建立，是40年代在线性滤波理论方面所取得的最重要的成果。(Under some constraint conditions, the output with a given function (often referred to as expected output) the square of the difference between the minimum, through mathematical operation can be turned into a final taub Leeds equation to solve the problem.Wiener filter is also known as least squares filter or least square filter, is now one of the basic filter method.Wiener filtering is to use the related characteristics of stationary random process and spectrum characteristics of mixed with noise signal filtering method, scientists in the United States in 1942 n. wiener established to solve the control problem of empty shooting, is 40 s in the theory of linear filtering is the most important results.)