Thin_plate

在论坛上经常有朋友求关于信号上下包络的程序。 本程序为本人编写的一个matlab程序。(at the forum frequently for friends on the next signal envelope procedures. The procedures for the preparation of the one I Matlab procedures.)

We have modified the leach algorithm to introduce effi cient cluster head replacement scheme and dual transmitting power levels

wlan物理层仿真文件的说明，便于读者理解上手(Description wlan physical layer simulation files, easier to understand to get started)

针对非均匀线阵，利用修正的Capon算法，不需要信源数目，就可以达到高分辨的DOA(In view of the non uniform linear array, using the modified Capon algorithm, does not need the source number, can achieve high resolution DOA )

Source to solve a partial differential diffusion equation

The overall objective for LTE is to provide an extremely high performance radio-access technology that offers full vehicular speed mobility and that can readily coexist with HSPA and earlier networks. OFDM/OFDMA technology is introduced for the LTE downlink, supporting very high data rates of up to 300Mbps while Single-Carrier FDMA (SC-FDMA) is used in the uplink with data rates of 80Mbps possible. Additionally, LTE supports operation both in paired and unpaired spectrum (FDD and TDD) using channel bandwidths of approximately 1.4MHz up to 20MHz. The frequency domain scheduling can be done in OFDMA. One of the main challenges in OFDMA is the high peak-to-average radio of the transmitted signal, which requires linearity in the transmitter. The linear amplifiers have low efficiency therefore, OFDMA is not an optimized solution for a mobile uplink where the

A new blind adaptive multiuser detection scheme based on a hybrid of Kalman filter and subspace estimation is proposed. It is shown that the detector can be expressed as an anchored signal in the signal subspace and the coefficients can be estimated by the Kalman filter using only the signature waveform and the timing of the desired user.(A new blind adaptive multiuser detection s cheme based on a hybrid of the Kalman filter and subs pace estimation is proposed. It is shown that th e detector can be expressed as an anchored signa l in the signal subspace and the coefficients ca n be estimated by the Kalman filter using only th e signature waveform and the timing of the desir ed user.)

《MATLAB高效编程技巧与应用：25个案例分析》源程序 数据(The "MATLAB efficient programming techniques and applications: 25 Case Studies" code and data)

Turbo coding toolbox in MATLAB

Iterative closest poin in MATLAB