rockModel

Document on demodulating a psk signal

列出了matlaba最常用的工具箱函数，包括最小二乘函数，样条函数等等(Lists the most commonly used matlaba toolbox function, including least-squares function, and so on spline function)

The most critical problem to solve is how to design and tune the power electronic components in the inverter to cooperate in the best manner possible. How can voltage transients, oscillations and losses be reduced to a minimum? Could this be done with help of snubber circuits?

OFDM系统的仿真代码MATLAB环境下(OFDM system simulation environment MATLAB code)

脉冲编码调制（PCM，Pulse Code Modulation）是一种将模拟语音信号转换成数字信号的编码方式，从数学上来看，量化过程就是把一个连续幅度值的无限数集合映射成一个离散幅度值的有限数集合，编码就是用一组二进制数来表示这些映射后的有限数。 国际标准化的PCM采用折叠二进制码，符合长途电话质量。根据量化方法的不同，PCM 可分为均匀量化PCM 和对数PCM 两大类，对数PCM中，A律和μ律编码都已被定为国际标准。 本程序实现了A律、μ律以及均匀量化三种PCM，并带有GUI界面，方便使用。可以计算编码后的码率、运行时间以及最小均方误差。(Pulse Code Modulation (PCM, Pulse Code Modulation) is an analog voice signal into digital signal encoding, from the mathematical point of view, the process is to quantify the magnitude of the value of an infinite number of continuous mapping into a discrete set of the limited range of values number set, code is a set of binary digits, said after a limited number of these maps. By folding the International Standardization of PCM binary code, in line with long-distance telephone quality. According to the different quantitative methods, PCM can be divided into uniform quantization PCM PCM and the number of two categories, on the number of PCM, A law and μ-law code have been designated as international standards. A law implemented in this program, μ law and the uniform quantization of three PCM, with a GUI interface, easy to use. Encoded bit rate can be calculated, running time and minimum mean square error. )

说明：  盲源分离FastICA、matalab程序，(FAST KERNEL ICA | |--------------------| Version 1.0- February 2007 Copyright 2007 Stefanie Jegelka, Hao Shen, Arthur Gretton This package contains a Matlab implementation of the Fast Kernel ICA algorithm as described in [1]. Kernel ICA is based on minimizing a kernel measure of statistical independence, namely the Hilbert-Schmidt norm of the covariance operator in feature space (see [3]: this is called HSIC). Given an (n x m) matrix W of n samples from m mixed sources, the goal is to find a demixing matrix X such that the dependence between the estimated unmixed sources X *W is minimal. FastKICA uses an approximate Newton method to perfom this optimization. For more information on the algorithm, read [1], and for more information on HSIC, refer to [3]. The functions chol_gauss and amariD are taken from and based on, respectively, code from Francis Bach (available at http://cmm.ensmp.fr/~bach/kernel-ica/index.htm). The derivative is com)

说明：  基于卡尔曼滤波的航迹融合算法实现 通过此实例可进一步理解卡尔曼滤波算法(Realization of track fusion algorithm based on Kalman filter)

此程序是对不同传感器得到的图像进行融合，以便得到更好的图像(This program is an image of different sensors are fused to obtain better image)

BankObject Extends, for IE extention Bar.

msk的调制解调，包含调制解调过程中信号、功率谱的图、调制后的对比图(msk modulation and demodulation process, including modulation and demodulation signal, the power spectrum of FIG modulated contrast FIG.)