springmass

Performance of multiuser CDMA

Specify the condition to stop the decoding iterations as one of Maximum iteration count | Parity check satisfied . The default is Maximum iteration count . When you set this property to Maximum iteration count , the object will iterate for the number of iterations you specify in the Maximum Iteration Count property. When you set this property to Parity check satisfied , the object will determine if the parity checks are satisfied after each iteration and stops if all parity checks are satisfied.

This is the code for radix 2 64 point fft which is written in matlab.

a help file for MAIO in GSm Cellular Planning

基2－FFT算法的Matlab代码的实现。其中有一个子程序可以用Matlab内部的程序来实现，以提高程序的运算速度。(2-FFT-based algorithm for the realization of Matlab code. There is a subroutine can use Matlab s internal procedures are in place to realize in order to improve procedures for computational speed.)

工具箱 (整数线性规划工具箱) Matlab中使用(Kit (Integer Linear Programming Kit) Matlab using)

这个是用来计算Haar-like特征数目的，用MATLAB求的某一个矩形特征的数目(This is used to calculate the number of Haar-like features, with the MATLAB find a certain number of characteristics of a rectangular)

说明：  压缩感知（Compressive Sensing(CS)，或称Compressed Sensing、Compressed Sampling）。该理论指出：对可压缩的信号可通过远低于Nyquist标准的方式进行采样数据，仍能够精确地恢复出原始信号。该理论一经提出，就在信息论、信号/图像处理、医疗成像、模式识别、地质勘探、光学/雷达成像、无线通信等领域受到高度关注，并被美国科技评论评为2007年度十大科技进展。(Compressed Sensing (Compressive Sensing (CS), known as Compressed Sensing, Compressed Sampling). The theory states: compressible signal can be much lower than the Nyquist criterion for sampling data, and still be able to accurately recover the original signal. The theory was put forth, to receive significant attention in the field of information theory, signal/image processing, medical imaging, pattern recognition, geological exploration, optical/radar imaging, wireless communications, and Technology Review named the 2007 top ten scientific and technological progress.)

《通信系统仿真原理与无线应用》的matlab()

DOA估计的传统经典之作，利用噪声子空间和信号子空间正交性，得到高分辨的拨打估计。(DOA estimation of the traditional classic, using the noise subspace and signal subspace orthogonality, get high resolution to estimate.)