param_uu

matlab image procesing

说明：  一种核密度估计，或者称作带宽选择的方法，可以估计二维尺度参数，至于多维以上的估计方法尚在开发，多维情况下个人经验好的方法是多次实验取较好值(kernel density estimation, bandwidth selection, two-dimensional scale parameter can be estimated ,for the multi-dimensional approaches are still under development, multi-dimensional cases, personal experience is to do the experiment many times)

说明：  基于matlab的EMD分解算法的源代码，可用于脉搏分析(The EMD-based decomposition algorithm matlab source code can be used for pulse analysis)

说明：  MIMO信道SIMO信道下信道容量与天线数目等的关系，研究MIMO的好资料(This program demonstrates the convolution procedure)

基于802.11完整OFDM仿真程序，包括发送端和接收端，调制及解调(OFDM simulink code)

图像的基于8*8分块的DCT变换编码 MATLAB编程环境 (Images based on 8* 8 block of DCT transform coding MATLAB programming environment)

说明：  演化算法的使用分析，从效率上，从收敛速度上都做了仔细的分析(The use of evolutionary algorithms analysis of efficiency, from the convergence rate has done a careful analysis of)

基于地理位置的路由协议MAP的仿真matlab代码(Simulation matlab code based on the location of the routing protocol in MAP)

Finally, probability analysis, based on the chosen database, is performed and judgment whether the person is recognized is pronounced. Two different modeling techniques can be suggested for purposes of person identification or verification. The approach based on Hidden Markov Speaker Models (HMMs) with the mixtures of Gaussian distribution is text-dependent one. For this technology a speaker is described by a set of HMMs, constructing the set of speech groups spoken by that person. The speech groups may be phonemes or words [7]. The text-independent technology is rested upon Gaussian Mixture Speaker Models. For this technology each speaker is defined by only one model describing all utterances of that person. Identification in the range of both approaches is executed by evaluation of maximum a posteriori probability [7].

基于MATLAB的通信系统仿真应用详解，这是第3卷。(MATLAB-based simulation of communication systems explain, this is the first 3 volumes.)