zengqiangtuxiangsheji

这是用matlab中的simulink仿真的Nakagami信道，对UWB研究者很有用。(This is in simulink with matlab simulation of Nakagami channel on UWB researchers useful.)

说明：  这里介绍了一种基于自适应滤波的噪声抵消法，采用归一化最小均方误差算法，采集实际噪声环境下各种不同信噪比的带噪语音样本进行降噪处理，实验结果表明，处理后信号的信噪比得到了较大程度的提高，大大改善了听音效果，具有很高的可懂度，且语音自然度好，没有失真；并与谱减法进行了比较，自适应噪声抵消法的降噪幅度比谱减法有一定提高，在听音效果上，用自适应噪声抵消法处理后的语音在清晰度，自然度方面优于谱减法。(Here a novel adaptive noise cancellation method using normalized least mean square algorithm, collecting a variety of actual noise environment, the SNR of noisy speech samples for noise reduction, experimental results show that treatment After the signal to noise ratio was greater improvement in the level, greatly improved the listening results, with high intelligibility and naturalness of speech is good, no distortion and were compared with the spectral subtraction, adaptive noise cancellation law than the spectral subtraction noise reduction rate of a certain improvement in the listening results, and with the adaptive noise cancellation method in the treatment of voice clarity, naturalness is better than spectral subtraction.)

perl program guide ch1

盲源分离；求峭度；可以把混合信号分离出来，并且可以比较前后分离信号的峭度(Blind source separation seek kurtosis can separate the mixed signal, and the signal can be compared before and after the separation of kurtosis)

File: multipath_sim.m Matlab Simulink IEEE 802.15.3a compliant channel model (File : multipath_sim.m Matlab Simulink IEEE 802.15. 3a compliant channel model)

DCT and Image Compression In the JPEG image compression algorithm, the input image is divided into 8-by-8 or 16-by-16 blocks, and the two-dimensional DCT is computed for each block. The DCT coefficients are then quantized, coded, and transmitted. The JPEG receiver (or JPEG file reader) decodes the quantized DCT coefficients, computes the inverse two-dimensional DCT of each block, and then puts the blocks back together into a single image. For typical images, many of the DCT coefficients have values close to zero these coefficients can be discarded without seriously affecting the quality of the reconstructed image. The example code below computes the two-dimensional DCT of 8-by-8 blocks in the input image, discards (sets to zero) all but 10 of the 64 DCT coefficients in each block, and then reconstructs the image using the two-dimensional inverse DCT of each block. The transform matrix computation method is used.

简单暂态计算：输入初始功率、无限大系统母线电压、系统等值电抗矩阵、惯性时间常数、间断数、发生故障时段、每段间隔时间；得到结果有不平衡功率、功角增量、电磁功率、发电机转子摇摆曲线(Simple transient calculation: input initial power, infinite system bus voltage, the system equivalent reactance matrix, inertia time constant, continuous number, the failure time, each interval get results uneven power, power angle increment, electromagnetic power generator rotor swing curves)

说明：  基于形态学的的玻璃瓶边缘检测，和canny算子对比，可出图。(Glass bottles based on morphological edge detection, and the canny operator compared to a map.)

图像处理中的边缘检测和处理,保证图像恢复的噪声最小(image processing edge detection and processing, image restoration to ensure minimum noise)

Wireless Sensor Networks for Pilgrims Tracking IEEE 2012 Paper