搜索资源列表
Path-Loss
- 通用路径损耗模型包括Log-distance/normal shadowing计算-General Path Loss Model, including log-distance/normal shadowing path loss model
log-distancepathloss
- log_distance path loss model for wireless propagation indoor
chxu
- 本程序用于测量增强语音与纯净语音的对数谱距离，用于语音增强。对数谱距离越小，表明增强语音与纯净语音越接近，增强语音质量越好；反之，则增强语音质量越差。-Calculates the average log-spectral distance between CLEAN and NOISY signals. Frames are 25ms long with 60 percent (15ms) overlap, hamming windowed. RS is the remove
Soft_demapping_8PSK
- soft Demapping 8PSK : LLR computation using Euclidian distance approach, Parallel-to-Serial converter, needs I and Q componets of 8PSK symbols at the input
dist_LLR
- Log Likelihood Ratio (LLR) Objective Speech Quality Measure
LodDistance_n3
- Log Distance n=3 code for large scale transmission
LogDistance_n4
- Log Distance n=4 code for large scale transmission
LogSpectralDistance_LP
- 计算源信号和噪音之间的频谱差，用于噪音估计等。-Calculates the average log-spectral distance between CLEAN and NOISY signals
kmeans
- K均值有效执行++多元数据的聚类算法。它已经表明，该算法具有的总群集内距离的期望值是日志（K）的竞争力的上限。此外，K -均值++通常远高于香草收敛K均值少。-An efficient implementation of the k-means++ algorithm for clustering multivariate data. It has been shown that this algorithm has an upper bound for the expected value o
label
- 图像分割处理：Roberts,Sobel,LOG,Prewitt算子处理，街区距离方法，欧几里得距离方法，边缘提取，去噪-Image segmentation: Roberts, Sobel, LOG, Prewitt operator handling, block distance method, Euclidean distance method, edge detection, noise reduction
LogSpectralDistanceSignal
- Log Spectral Distance Signal
Tchxuziph
- 本程序用于测量增强语音与纯净语音的对数谱距离，用于语音增强。对数谱距离越小小，表明增强语音与纯净语音越接近，增强语音质量越好；反之，则增强语音质量越差。 -The procedure used to measure to enhance the voice and the pure voice of the logarithmic spectral distance for speech enhancement. More small log spectral distance, the c
LogSpectralDistance
- 对数谱距离计算的matlab 实现，可以用于语音增强时性能比较。-log spectrum distance computation with matlab, you can use it for speech enhancement evaluation
1005
- 要求用分治算法（O(nlogn)复杂度）实现寻找n个点中最邻近点对,输出最邻近距离的平方 其中0<=x<10000,0<=y<10000，（x,y是整数） 点数1<n<=30000. Input 第一行表示点的数目n； 接下来的n行中，每一行依次表示点的x坐标，y坐标。 Output 输出n个点中最邻近点对距离的平方-Looking for n points in the nearest neighbor
1
- 为作业最终的仿真结果与分析 PL_free.m：free space path loss model PL_logdist.m: log-distance path loss model PL_lognorm.m: log-normal shadowing path loss model plot_PL_general.m: plot the figures itum.m: ITU M.1225 vehicular-B(120km/hr) channel model AW
kmeansPP
- 一个有效的实现k - means+ +聚类多元数据算法。已经证明,这种算法有一个预期值的上界值。此外,k - means + +具有较好的收敛性。-An efficient implementation of the k-means++ algorithm for clustering multivariate data. It has been shown that this algorithm has an upper bound for the expected value of the
log--spectral-distance-for-VAD
- 语音增强之前先进行端点检测，对有话帧和噪声帧作不同处理，利用对数频谱距离进行端点检测。-Speech enhancement for endpoint detection, before to have words for different frame and noise frame processing, using logarithmic spectrum distance for endpoint detection.
logspectral
- finds log spectral distance of speech samples