segmation

Dragon Forth (DF) is a powerful tool for creating applications for Palm OS of any complexity. The name Forth means fully compatibility with ANS 94 standard.

正交频分复用是一种多载波宽带数字调制技术。相比一般的数字通信系统， 它具有频带利用率高和抗多径干扰能力强等优点，因而适合于高速率的无线通信系统。( OFDM Simulator -------------------------------------------------------------------------------- MIMO OFDM Simulator: OFDM.m: OFDM Simulator (outer function) create_channel.m: Generates a Rayleigh fading frequency-selective channel, parametrized by the antenna configuration, the OFDM configuration, and the power-delay profile. svd_decompose_channel.m: Since full channel knowledge is assumed, transmission is across parallel singular value modes. This function decomposes the channel into these modes. BitLoad.m: Apply the bit-loading algorithm to achieve the desired bit and energy allocation for the current channel instance. ComputeSNR.m: Given the subcarrier gains, this simple function generates the SNR values of each channel (each singular value on each tone is a separate channel). chow_algo.m: Apply Chow s algorithm to generate a particular bit and energy allocation. EnergyTableInit.m: Given the SNR values, form a table of energy increments for )

一篇非常优秀的论文：合成孔径雷达成像matlab仿真，附PDF和源码。 (Synthetic Aperture Radar Imaging Simulated in MATLAB（PDF and Matlab code）)

香农编码，给定概率求码字，编码效率，平均码长(Shannon coding, the probability of seeking a given codeword, the coding efficiency, the average yards)

有关度分布计算的Matlab程序源代码，功能强大，可以作图(Matlab source code distributed computing related degree)

说明：  一篇有关机动目标跟踪时动态模型建立方法的外文文献(A maneuvering target tracking on Dynamic Modeling Methods Foreign Languages ​ ​ and Literatures)

This is a program to illustrate the interference cancellation in cognitive radio

energy harvesting relay cooperative communication

M序列信号算法仿真在系统辨识中有着很大的应用前景。多谐差相方法辨识精度很高有着很苛刻的要求，要求已知辨识参数个数已知并且需要整周截断。而M序列信号的测试方法没有这个方面的要求。其辨识未知模型时，可以用最小二乘算法观察辨识系统的精度来确定模型的阶次。本算法里面不但给出了用于M序列生成的本原多项式计算方法，同时编写了M序列信号的生成算法，并编写了相关辨识方法的算法。(M sequence signal simulation algorithm for identification in the system have great application prospects. Identification of multi-harmonic differential phase method with high precision has very stringent requirements, demand parameters are known to identify the number of known and need to cut off the whole week. The M sequence signal testing methods do not have this requirements. Its identification unknown model, you can observe the identification system using least-squares algorithm to determine the accuracy of the model order times. This algorithm is used which not only gives the M sequence generated by primitive polynomial method of calculation as well as prepare the M sequence signal generation algorithm, and the preparation of the relevant identification method algorithms.)

BP neural network trained by PSO algorithm