dcmfromeulerang

说明：  压缩传感理论仿真的一个实际例子，稀疏信号的恢复。(Compressed sensing theory of simulation of a practical example of sparse signal recovery.)

高精度、低功耗模数转换器是当今集成电路设计模拟领域的研究热点之一，采用sigma-delta调制原理和过釆样原理的模数转换器广泛使用在音频、数字网络、电子测量等系统中。此类模数转换器，为降低信号带内的量化噪声功率，而釆用噪声整形技术，为提高模数转换器的信噪比，使用过采样技术，将基带中的量化噪声调制到了高频区域，这样就增加了基带中的信噪比，也就是增加了转换器的有效量化位数，由于采用较高的过采样率，Sigma-Delta ADC的转换速率相对较低，高精度和较低转换速率的特点，使得Sigma-Delta ADC特别适用于测量。(High precision, low power analog to digital converter is in today s integrated circuit design simulation has become one of the hot research field, the principle of sigma-delta modulation and ADC sampling principle is widely used in audio, digital network, electronic measurement system. This type of analog-to-digital converter, in order to reduce the quantization noise power signal in the band, and the use of noise shaping technique, in order to improve the SNR of the analog-to-digital converter, using the oversampling technique, modulate the quantization noise in the baseband to the high frequency region, which increases in the baseband signal to noise ratio, that is to increase the effective number of quantization bits converter, due to the sampling rate is high, the Sigma-Delta ADC conversion rate is relatively low, the characteristics of high accuracy and low conversion rate, so that Sigma-Delta ADC is especially suitable for measuring)

被广泛应用于机器人的设计和仿真，是机器人行业的重要工具(Is widely used in robot design and simulation is an important tool in the robot industry)

一个QAM调制的垂直切换算法，matlab仿真实现的。(A vertical QAM modulation switching algorithm, matlab simulation.)

LAMDA方法，进行模糊度解算前降低相关性处理(LAMDA for decorrelation of ambiguity resolution)

关于与峭度相关的一些文章，本人感觉比较不错，对信号处理等有一定的帮助(About the the kurtosis article, I feel quite good, such as signal processing help)

this file contain matlab code soure to convert image to text to speach using neuranal network

本例子为非线性整数规划的准确求解的有效方法之一。(The example of one of the accurate and effective method of solving nonlinear integer programming coefficients.)

基于dct的图像水印实现，用MATLAB哟(watermark based on DCT)

Example of application of image processing