ofdm_channel_estimation

matlab text matrice generator tool for math representation of textual data

This code consist of QAM CDMA BPSK and other modulation codes

演示了mallat算法的实现过程，包括分解与重构，原始波形用的是两个不同频率的正弦函数(Mallat algorithm demonstrated the realization of the process, including the decomposition and reconstruction, with the original waveform are two different frequency sine function)

说明：  光子晶体光纤的时域有限差分法软件的使用说明(Photonic crystal fiber finite difference time domain method of software instructions)

说明：  应用MATLAB进行维特比译码，这对仿真很有用(Application of MATLAB to carry out Viterbi Decoder, which is useful in simulation)

Linear predictive filering based audio compression

基于OFDMA系统的多用户资源分配算法，论文配备MATLAB代码，入门的好教材。(— Orthogonal Frequency Division Multiple Access (OFDMA) basestations allow multiple users to transmit simultaneously on different subcarriers during the same symbol period. This paper considers basestation allocation of subcarriers and power to each user to maximize the sum of user data rates, subject to constraints on total power, bit error rate, and proportionality among user data rates. Previous allocation methods have been iterative nonlinear methods suitable for ofine optimization. In the special high subchannel SNR case, an iterative root-nding method has linear-time complexity in the number of users and N logN complexity in the number of subchannels. We propose a non-iterative method that is made possible by our relaxation of strict user rate proportionality constraints. Compared to the root-nding method, the proposed method waives the restriction of high subchannel SNR, has signicantly lower complexity, and in simulation, yields higher user data rates.)

Graphical Interface using the matlab platform for Content based image retrieval.

说明：  产生一个10000位的bipolar信号并画出bit error performance的模拟图像，求出BER(The source generates equally probable bits, P(0) = P(1) = 0.5. (a) Construct a program to generate 10000 bits with bipolar signaling. (b) Use your program to simulate the bit error performance of the system with Eb/N0 = 0, 2, 4, 6, 8, 10 dB. (c) Compare your simulated performance with the analytical expression for the bit error rate (BER):)

simulation matlab (la localisation par GPS)