cp0802_IEEEuwb

高斯白噪声信道下接收端对发送信号的恢复效果(Gaussian white noise channel receiver, the recovery of the transmitted signal)

Matlab Filter Implementation In this section, we will implement (in matlab) the simplest lowpass filter $displaystyle y(n) = x(n) + x(n-1), n=1,2,ldots,N $ (from Eq.$ ,$(1.1)). For the simplest lowpass filter, we had two program listings: Fig.1.3 listed simplp for filtering one block of data, and Fig.1.4 listed a main program for testing simplp. In matlab, there is a built-in function called filter3.3 which will implement simplp as a special case. The syntax is y = filter (B, A, x) where x is the input signal (a vector of any length), y is the output signal (returned equal in length to x), A is a vector of filter feedback coefficients, and B is a vector of filter feedforward coefficients. The filter function performs the following iteration over the elements of x to implement any causal, finite-order, linear, time-invariant digital filter:3.4

说明：  一种基于稀疏信号恢复的DOA估计方法，CS采用L1SVD方法进行信号恢复(A DOA estimation method based on sparse signal recovery is proposed. CS uses L1SVD method for signal recovery.)

说明：  ifix入门资料，组态软件的学习好资料，通俗易懂，内容翔实！(ifix introductory information, learning good information configuration software, user-friendly and informative!)

this cluster file provides a matlab code to implement erosion and dilation operators of an image.

无约束优化的matlab程序。很全面，适用于数学建模等竞赛活动。(Unconstrained optimization matlab program. Very comprehensive, suitable for mathematical modeling contest.)

说明：  利用matlab实现了ofdm系统，从发送到接收，并可统计在不同信道下的系统性能(Achieved using matlab ofdm systems, from sender to receiver, and can channel statistics in different system performance)

自适应滤波器,LMS最陡下降法的matlab原代码,需要的可以下(Adaptive filter, LMS steepest descent method of matlab source code needed to make)

this program is an m-file of Model-based Predictive Control to track a sinusoidal target in various cases of mismatching and delay.

matlab实现Allen方差计算程序，主要用于Gyro等传感器的数据预处理与传感器精度验证(matlab realize Allen variance calculation procedures, mainly used for data pre-processing and sensor accuracy Gyro sensor validation, etc.)