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gmm_prob
- 计算高斯混合模型先验概率和后验概率的程序，采用大矩阵运算，大大提高了运行速度。-Gaussian mixture model calculated a priori probability and the probability of post-mortem procedures, using a large matrix computation, greatly improved speed.
suanfakrrrr
- 运动估计是视频压缩中帧间预测编码的关键技术之一，在各个压缩标准中都广泛使用了基于块的运动估计技术。由于运动估计通常具有较大的运算量，因此对压缩性能具有重要的影响。本文在分析了视频序列的特点和对现有的快速搜索算法深入理解的基础上提出了一种改进的快速运动估计搜索算法，通过实验表明该算法对压缩性能有了较好的改进。 -Video Compression interframe predictive coding one of the key technologies. in various compr
Img2Wav
- 在画图并播放出来，快速FFT计算，有正向和反计算-In drawing out and play, fast FFT computation, there are positive and anti-calculation
EER_DET
- DET Curve and EER computation
encoder
- Implementation of a speech codec based on coding of speech at 8 kbit/s using conjugate-structure algebraic-code-excited linear-prediction (CS-ACELP) - We took .wav files that is sampled at 8000 Hz using 16-bit linear PCM. The encoding process i
sound-code-example
- Computation of loudness (Zwicker model) according to ISO 532B / DIN 45631 norms. This model is valid for steady sounds. Code based on BASIC program published in the following article: "Program for calculating loudness according to D
DLTcode
- Robust Non-negative Dictionary Learning for Visual Tracking The provided codes could be either embedded into the benchmark framework of paper Online Object Tracking: A Benchmark (CVPR2013) (You can find details here: http://visual-tracking.net/) or
B.Lucas
- 这是KLT算法论文的高清版。Kanade-Lucas-Tomasi方法，在跟踪方面表现的也不错，尤其在实时计算速度上，用它来得到的，是很多点的轨迹“trajectory”，并且还有一些发生了漂移的点，所以，得到跟踪点之后要进行一些后期的处理，说到Kanade-Lucas-Tomasi方法，首先要追溯到Kanade-Lucas两人在上世纪80年代发表的paper：An Iterative Image Registration Technique with an Application to Ste
melp_init
- The MELP coder depends on the computation of Fourier magnitudes the prediction-error signal to capture the shape of the excitation pulse, which basically are the magnitudes of the Fourier transform. These quantities are quantized and transmitte
wfntr
- Use Chaos and fractal analysis routines, Computation Method D phononic bandgap plane wave, Partial least squares method.