Rayleigh

一种代码激励线性预测编码器，其特征在于：具有声道信息生成器、声音功率量化器、自适应码表(A code excited linear predictive coding device, characterized in that: a channel information generator, the sound power quantizer, adaptive code table)

画任意方向位置的圆柱体...希望有帮助哈(draw the 3d clinder in any diraction and position)

。并行级联LDPC码是由多个码率不同的子码，经并行级联后得到的码率可变的LDPC码。本文提出了基于 并行级联LDPC码的递增冗余HARQ方案，给出了这种方案的吞吐量性能封闭解。在AwGN信道和Rayleigh衰落信 道下，通过仿真将新方案的性能和随机LDPC码的性能进行了比较。结果显示，并行级联LDPC码的递增冗余HARQ 方案性能接近随机LDPc码，但编、译码更简单，参数选择范围更广。(. Parallel Concatenated LDPC code is different by a plurality of bit-rate sub-code, the LDPC code rate is variable obtained after parallel concatenation. In this paper, the incremental redundancy HARQ scheme based on parallel concatenated LDPC codes, the throughput performance of this program is given closed-form solution. In AwGN channel and Rayleigh fading channels through simulation, the performance of the performance of the new program and random LDPC codes are compared. The results show that the parallel concatenated LDPC codes incremental redundancy HARQ scheme performance close to the random LDPc code, but compiled more simple decoding a wider range of parameter selection.)

FFT算法C语言实现 和MATLAB中fft函数结果一样的功能(FFT algorithm C language and MATLAB fft function results in the same function)

说明：  利用MATLAB产生正弦信号，加入高斯白噪声后利用小波变换技术去噪声(The sine signal is generated by MATLAB, and the noise is removed by wavelet transform after Gaussian white noise is added)

该代码仅计算了一个101×101尺寸的Gabor函数变换，得到均值和方差。代码采用两种卷积计算方式，从结果中可以看出，快速傅立叶变换卷积的效率是离散二维叠加和卷积的近50倍。 (The code is only the calculation of a 101 × 101 size Gabor function transformation, the mean and variance. Convolutional code using two methods of calculation can be seen from the results, fast Fourier transform convolution efficiency are two-dimensional discrete convolution superposition and nearly 50 times.)

In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterative method which alternates between performing an expectation (E) step, which computes the expectation of the log-likelihood evaluated using the current estimate for the latent variables, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then used to determine the distribution of the latent variables in the next E step.

mat lab code for linear convolution.

说明：  完整的Turbo编码解码，完整的Turbo编码解码(Turbo encoding and decoding full and complete Turbo codec)

Matlab model of inverter for drive system with motor