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麦克风阵列声源定位迟延估计算法 imsq
麦克风阵列声源定位迟延估计算法，实现麦克风阵列的声源定位，可以和别的算法进行比较，得出最优算法(Microphone array sound source localization delay estimation algorithm, the microphone array sound source localization, can be compared with other algorithms, the optimal algorithm)
- 2021-03-09 10:29:28下载
- 积分：1
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Kalman-filter
Kalman filter using matlab
- 2012-03-23 18:01:10下载
- 积分：1
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yulewalker
yulewalker正则方程的功率谱估计(The yulewalker method for PSD)
- 2013-04-08 18:34:55下载
- 积分：1
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ss
说明： 输电网9节点区间潮流计算程序，修改数据可用(IEEE 9 interval power flow)
- 2015-05-09 16:35:24下载
- 积分：1
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Backpropagation-Matlab-master
说明： 使用人工神经网络（ANN）实现手写数字体识别(Handwritten digit recognition)
- 2020-03-19 21:47:08下载
- 积分：1
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Reducing_APR_of_OFDM
用部分传输序列算法降低OFDM信号峰均功率比算法(Reduction algorithm with Partial Transmit Sequence OFDM signal PAPR Algorithm)
- 2010-03-14 11:25:24下载
- 积分：1
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exm07052_1
本例演示：1、画两个同心圆，其中一个半径由独立输入宗量定义，另一个由变长度输入宗量的第一个元素定义，可以用任何指定的色彩线形绘制；2、变长度输入输出宗量在程序中的构成和使用；3、变长度输入输出宗量的对外使用表现(the cases demonstrated : a painting of two concentric circles, with a radius of independent input variables defined Another variable length from the importation of the first cases of an element of the definition, can be used in any linear color rendering; 2. Variable length input and output variables in the process of composition and use; 3, variable length input and output variables in the external use of performance)
- 2006-07-12 11:01:38下载
- 积分：1
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2501425708
此程序用提升法实现第二代小波变换
％％ 我用的是非整数阶小波变换
％％ 采用时域实现,步骤先列后行
％％ 正变换：分裂，预测，更新；
％％ 反变换：更新，预测，合并
％％ 只做一层（可以多层，而且每层的预测和更新方程不同）(the procedure used to upgrade method is the second generation wavelet transform%% I use a non-integer-order wavelet transform%% using time domain achieved, steps out first go backward%% transformation : split and forecast updates; %% inverse transformation : Update, forecasting, %% off with a layer (which can be multi-storey, but the typical forecast and updating different equation))
- 2007-01-08 15:45:03下载
- 积分：1
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Gestion-Employes-T.dynamique
a programme deailing with stacks and queues and linked list
- 2014-12-22 22:50:07下载
- 积分：1
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DCT-and-Image-Compression
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.
- 2014-01-28 16:55:07下载
- 积分：1
